WO2014162601A1

WO2014162601A1 - Information processing system and data processing control method

Info

Publication number: WO2014162601A1
Application number: PCT/JP2013/060524
Authority: WO
Inventors: 仁史藪崎; 匡邦揚妻; 裕之大崎; 崇利加藤
Original assignee: 株式会社日立製作所
Priority date: 2013-04-05
Filing date: 2013-04-05
Publication date: 2014-10-09

Abstract

[Problem] To determine the processing details and storage location for data on the basis of the peripheral environment of a data processing device and changes thereupon. [Solution] The data processing device comprises: a control unit which executes a prescribed process corresponding to a request; a storage unit which stores a result of the execution of the prescribed process; and a measurement unit which measures the state of the peripheral environment wherein the data processing device is installed. On the basis of the state of the peripheral environment which is measured by the measurement unit, the control unit determines either whether to execute the prescribed process corresponding to the request or whether to store the result of the execution of the prescribed process in the storage unit, and if either it is impossible to execute the prescribed process in whole or in part or it is impossible to store the result of the execution in whole or in part in the storage unit, causes another data processing device to execute the prescribed process in whole or in part, or store the result of the execution in whole or in part.

Description

Information processing system and data processing control method

The present invention relates to an information processing system and a data processing control method, and is preferably applied to an information processing system and a data processing control method for controlling a plurality of data processing devices connected to a network.

In an information processing system connected to a wide-area computer network, a form in which a processing result is transmitted to a terminal device using a processing function of an information processing device arranged in a central data center is common. . In particular, in a usage form of an information processing system called cloud computing, it is possible to minimize system construction cost and running cost by consolidating processing to information processing apparatuses such as servers and storages in a data center.

In the future, the application area of cloud computing is expected to expand from conventional web applications such as storage services and online games to various business applications. For example, predictive failure detection of construction equipment and industrial equipment, railway operation management, image analysis of surveillance cameras, analysis of medical images and biometric data, BEMS (Building Energy Management System) and HEMS (Home Energy Management System), etc. Visualization and control, human flow analysis, signal control, etc. These applications include mission-critical processing that handles highly confidential data such as company information and personal information and requires high responsiveness and reliability.

Also, in order to store these applications, the data center is required to have high robustness, availability, expandability, etc. equivalent to or higher than before. In order to realize high robustness and availability, for example, the use of buildings is regulated, and safety against earthquake risk is required. Security management requires entry / exit management for each server room or building. Electrical facilities have power supply paths, private power generation facilities, uninterruptible power supply (UPS) redundancy, air conditioning facilities have air conditioning equipment redundancy, communication facilities have carrier redundancy, and facility operation has a resident management system Required. In addition, in order to realize high expandability, a sufficient site area that can additionally accommodate a server and a line with a sufficient bandwidth with the carrier network are required.

However, excessive equipment increases the cost of system construction and places a burden on data center operators. Therefore, it is a problem to realize system construction at low cost while satisfying the robustness required by data center users.

In order to solve the above problems, it is effective to execute processing suitable for each data center using a plurality of data centers, instead of concentrating the processing to one data center with extremely high robustness. . Recently, a plurality of methods for utilizing a plurality of data centers have been studied.

For example, in Patent Document 1, it is possible to collectively manage servers in a distributed data center, and without depending on a specific data center, data migration according to conditions such as cost, security, and situation, a new system A data center management system is disclosed that enables the fluidization of information assets by facilitating the construction of information. The conditions include location information indicating the location of the data center, earthquake resistance information indicating the earthquake resistance of the data center, safety information indicating the safety of the data center, cost information indicating the cost of the data center, and the data center. At least one of the specification information indicating the specifications of As a result, the data storage location and processing location can be changed in consideration of the earthquake resistance, safety, cost, etc. of the data center.

Patent Document 2 discloses a method for ensuring scalability and fault tolerance performance by determining whether or not an action is necessary based on a real-time state of a server measured by a plurality of monitoring agents. Yes. As a result, it is possible to provide a system that can grasp and control the status of computer resources included in the monitored system in real time. At the same time, the status of computer resources included in such a system can be monitored and controlled in real time.

Further, Patent Document 3 discloses a method for selecting an optimum provider server when there are a plurality of servers that serve as service providers at a plurality of locations on the network based on network information and requested traffic volume. Yes. As a result, when service providers exist in multiple locations on the network, such as video distribution services and cloud services that provide applications and storage on the network, congestion is distributed by distributing the link load due to traffic bias. In addition to selecting an appropriate source server by calculation based on a linear programming problem using the network congestion status (traffic volume), a route connecting the service request source (node) and the selected server (node) Can be sought.

JP 2012-039992 A International Publication No. 2012/05224 JP 2012-044622 A

However, in the data center management system described in Patent Document 1, the data storage location and processing location are determined in consideration of the robustness and cost of the data center facility. Environmental conditions are not considered. The state of the surrounding environment includes, for example, security, infrastructure development status, damage frequency, surplus site area, and measured values by sensors such as vibration, temperature, volume, and electromagnetic waves.

In Patent Document 1, since the state of these surrounding environments cannot be taken into consideration, it is not possible to determine the processing content and the storage location at the right place in consideration of the surrounding environment between computing resources having equivalent facilities. Also, the processing content and storage location cannot be changed in response to changes in the surrounding environment. That is, the data center integrated system disclosed in Patent Document 1 cannot cope with the state of the environment around the data center and changes thereof. As a result, in order to block the influence of the surrounding environment, sufficient facilities for protecting computing resources are required, and there is a problem that costs increase due to excessive capital investment.

Further, in the computer resource control system described in Patent Document 2, the processing content is determined based on the real-time state of the computer resource. As in Patent Document 1, the peripheral environment in which the computing resource is arranged is determined. The state is not considered.

In addition, in the server selection method described in Patent Document 3, an appropriate provider server is determined according to network information such as bandwidth and topology and the requested traffic volume. The state of the surrounding environment where is placed is not considered.

The present invention has been made in consideration of the above points, and provides an information processing system and a data processing control method capable of determining the processing content and storage location of data based on the surrounding environment of the data processing device and its change. It is what we are going to propose.

In order to solve this problem, in the present invention, information processing in which a terminal used by a user and a plurality of data processing devices that execute predetermined processing in response to a request from the terminal are connected via a network. In the system, the data processing device includes a control unit that executes predetermined processing according to the request, a storage unit that stores an execution result of the predetermined processing, and a surrounding environment in which the data processing device is installed A measurement unit that measures the state of the predetermined amount of the predetermined process based on the state of the surrounding environment measured by the measurement unit. Judgment is made as to whether or not the execution result can be stored in the storage unit, and when the execution of a part or all of the predetermined processing is impossible, or the execution result cannot be stored in the storage unit. In case, wherein the or to store all or part of the other data processing apparatus to the predetermined processing of all or the execution result or to perform some, information processing system is provided.

According to this configuration, the data processing device can determine whether or not to execute the predetermined process according to the request from the terminal based on the measured state of the surrounding environment or whether or not to store the execution result of the predetermined process in the storage unit. Judging. When the execution of a part or all of the predetermined process is impossible, or when all or a part of the execution result cannot be stored in the storage unit, the predetermined data is stored in another data processing apparatus. All or part of the processing is executed, or all or part of the execution result is stored. As a result, it is possible to determine the data processing content and storage location based on the surrounding environment of the data processing apparatus and the change thereof, thereby enhancing the robustness and availability of the data.

According to the present invention, data processing content and storage location can be determined based on the surrounding environment of the data processing apparatus and its change, and the robustness and availability of the data can be improved.

It is a block diagram which shows the hardware constitutions of the information processing system which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the hardware constitutions of the data processing apparatus concerning the embodiment. It is a block diagram which shows the function structure of the data processor concerning the embodiment. It is a graph which shows an example of the status information of the surrounding environment concerning the embodiment. It is a graph which shows an example of the state information template of the surrounding environment concerning the embodiment. It is a chart showing an example of processing judgment policy information concerning the embodiment. It is a chart which shows an example of the service requirement concerning the embodiment. It is a chart showing an example of processing method information concerning the embodiment. It is a chart which shows an example of the processing availability information concerning the embodiment. It is a chart which shows an example of the server characteristic information concerning the embodiment. It is a chart which shows an example of the operating condition in a server concerning the embodiment. It is a chart showing an example of communication characteristic information concerning the embodiment. It is a sequence diagram which shows the operation | movement at the time of the data processing apparatus installation concerning the embodiment. It is a flowchart which shows the detail of the production | generation process of the processing method information concerning the embodiment. It is a sequence diagram which shows the operation | movement which the terminal concerning the embodiment produces | generates data. It is a sequence diagram which shows the operation | movement which the terminal concerning the embodiment refers to data. It is a table | surface which shows an example of the process judgment policy information at the time of the state change of the surrounding environment concerning the 2nd Embodiment of this invention. It is a graph which shows an example of the processing method information at the time of the state change of the surrounding environment concerning the embodiment. It is a graph which shows an example of the server behavior information at the time of the state change of the surrounding environment concerning the embodiment. It is a sequence diagram which shows the operation | movement at the time of the data processing apparatus installation concerning the embodiment. It is a flowchart which shows the detail of the production | generation process of the processing method information concerning the embodiment.

First, an outline of the present embodiment will be described. In the following, in a set of a plurality of data processing devices in which the surrounding environment to be installed is not uniform and does not have excessive facilities, data processing contents and storage based on the surrounding environment of the plurality of data processing devices and changes thereof The characteristics of the information processing system that determines the place will be described.

The information processing system includes a data processing control unit that determines the generation of state information of the surrounding environment and a data processing method and storage location, a data storage unit that stores state information necessary for data processing control, and data abstraction. A data processing device including a data processing unit for performing partial deletion, encryption, application execution, and the like, a communication path switching unit for switching communication paths such as a switch and a router, and a measurement unit such as a camera and a sensor. Management server, and a network connecting the management server and a plurality of data processing devices.

The first feature is that state information of the surrounding environment in which the data processing device is installed is generated, and information on the state of the surrounding environment of each data processing device and / or a request for processing contents is provided between the data processing devices. Is notified in consideration of the surrounding environment of a plurality of data processing devices and changes thereof, and the data processing contents and storage locations of each data processing device are determined. This makes it possible to perform appropriate data processing and data storage in a data processing apparatus suitable for each data.

Based on the above, a set of multiple data processing devices that do not have enough robust buildings, security management, electrical equipment, air conditioning equipment, communication equipment, equipment operation, site area or bandwidth lines, etc. are placed in various surrounding environments In the information processing system configured as described above, the environment surrounding the data processing device and the influence of the change on the availability, completeness, certainty, confidentiality, responsiveness, scalability, and efficiency of the distributed processing system are excessive. It is possible to reduce the cost at a low cost without providing any equipment.

Further, the second feature is that, in the first feature, when the data processing device generates state information of the surrounding environment, a value measured by the measurement unit of the data processing device, a value input by the user, and the like. By estimating the status information of other surrounding environments from some information such as the values acquired from the data processing device or the web server on the Internet, the status of the surrounding environment that is difficult to measure, and its In consideration of the change, the data processing contents and storage location in each data processing apparatus are determined.

The third feature is that, in the first feature, when distributed processing is performed by a plurality of data processing devices, the data processing device sends data to another data processing device before receiving data or a reference request from the terminal. By requesting processing, when data or a reference request is received from a terminal, the processing delay associated with the data processing device requesting data processing from a plurality of data processing devices is reduced.

The fourth feature is that, in the first feature, when the state information of the surrounding environment where the data processing device is installed is generated, a change in the state information of a part of the surrounding environment is detected, and the other surroundings are detected. By measuring environmental state information, power consumption and processing load associated with constantly measuring environmental characteristics that change over time are reduced.

The fifth feature is that in the first feature, the data processing method is referred to when the data processing device judges the data processing method, and the data processing method is defined for each time period, thereby defining the period. If changes in the state of the surrounding environment occur, or if there is a predictive change in the surrounding environment, the change in the data processing method will be grasped and coordinated before the actual data processing change time. By notifying a processing request to another data processing device to be processed, it is possible to reduce a processing delay associated with notifying the other data processing device of the processing request when the state of the surrounding environment changes. It is.

Further, due to the above characteristics, when the power supplied to the data processing device is stopped, the power of some of the data processing units inside the data processing device is turned off, and the communication device inside the data processing device is connected to the terminal. It is possible to perform an automatic degeneration operation in which data received from is transferred to another data processing device. By enabling the automatic degeneration operation, it is possible to extend the continuous operation time of the emergency power supply such as UPS provided in the data processing apparatus, and all the surplus power of the emergency power supply is consumed, and the terminal performs data processing. It becomes possible to reduce a risk that the application provided by the apparatus cannot be used.

In addition, by having the above characteristics, the data processing device can be used from the average power failure time, which is one of the status information of the surrounding environment where the data processing device is installed, until the power is restored when the supply power is stopped. In order not to use the surplus power of the emergency power supply provided, the number of devices to be stopped inside the data processing device can be grasped.

Also, by having the above characteristics, it is possible to estimate the server theft based on position information and camera images, which are one of status information of the surrounding environment of the data processing device. And if the server theft is estimated, stop access to the data stored in its own data processing device, delete the stored data, from the terminal connected to the data processing device Data to be received is transferred to another data processing device, and a request to stop data transmission to its own data processing device is transmitted to the other data processing device. Thereby, when the data processing device is stolen, it is possible to suppress a data amount from which important data recorded in the data processing device flows out.

In addition, by having the above characteristics, from the security information, entrance / exit management information, portability, administrator ethics, administrator skills, indoor / outdoor information of the installation location, etc., which is one of the status information of the surrounding environment of the data processing device Know the theft risk, determine the data processing device that processes, converts, and stores the data in consideration of the theft risk, and important data stored in the data processing device when the data processing device is stolen Can be reduced the risk of being stolen together with the data processing device.

In addition, by having the above characteristics, the data processing device is physically detected from the speed, acceleration, vibration of the data processing device, which is one of state information of the surrounding environment of the data processing device, and dust and electromagnetic waves applied to the data processing device. Data that stores important data can be determined by determining the data processing device that processes, converts, and stores data in consideration of the risk of loss. Since the processing device is mounted on an automobile, construction equipment, or the like, a safe data processing device that is not easily damaged can be selected, and the risk of losing important data can be reduced.

In addition, by having the above features, when data is transmitted outside the country where the data processing device is installed or outside the company base, it is installed as one of the status information of the surrounding environment of the data processing device. Based on the laws and regulations of the country and corporate governance of the company, it is possible to decide to send data by deleting the confidential part or highly confidential part of the data, and data processing scattered in various countries and corporate bases It is possible to comply with laws and regulations without the administrator or the user manually deleting the confidential part or highly confidential part of the data between apparatuses.

Further, by having the above characteristics, it is possible to grasp that the data processing device is moving from the position information, speed information, and acceleration information which are one of the state information of the surrounding environment of the data processing device, and the data processing device If it exceeds the limit, the conversion of the data stored in its own data processing device or the data regulated in the destination country is placed in another country based on the laws and regulations of the destination country. It becomes possible to move to a certain data processing device.

In addition, by having the above characteristics, the data processing device changes the posture in consideration of the wind direction, the position of the sun, etc., thereby improving the efficiency of exhaust heat, improving the efficiency of solar power generation and wind power generation, etc. It can adapt to the environment and improve energy efficiency.

In addition, according to the above aspect, in addition to the status information of the surrounding environment of the data processing device, data processing for processing or storing data in consideration of server characteristic information such as the computing capability of the data processing device and the capacity of the storage device By selecting a device, it is possible to shorten the data processing time or prevent the storage device from overflowing.

Further, by having the above characteristics, when the data processing apparatus stores the application program necessary for processing the data generated by the terminal in the data processing apparatus, the image and vibration of the surrounding environment of the data processing apparatus are stored. Based on information such as sound, dust, etc., the processing contents in the data processing device are judged, and by deploying necessary applications and data, data processing suitable for the state of the surrounding environment where the data processing device is installed An environment for execution can be constructed.

As described above, in the present embodiment, in an information processing system including a plurality of data processing devices arranged in various surrounding environments, the influence of the surrounding environment and its change on the quality of experience of computing and users is affected. It is possible to reduce the cost at a low cost without providing excessive facilities.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

In the following description, the information of the present invention will be described using expressions such as “aaa table”, “aaa list”, “aaaDB”, “aaa queue”, etc., but these information are not necessarily limited to tables, lists, DBs, queues, It may be expressed by other than the data structure. Therefore, “aaa table”, “aaa list”, “aaaDB”, “aaa queue”, etc. may be referred to as “aaa information” to indicate that they are not dependent on the data structure. Furthermore, in describing the contents of each information, the expressions “identification information”, “identifier”, “name”, “name”, and “ID” are used, but these can be replaced with each other.

In the following description, there is a case where “program” is used as the subject. However, since the program performs processing determined by being executed by the processor using the memory and the communication port (communication control device), the processor is used as the subject. The explanation may be as follows. Further, the processing disclosed with the program as the subject may be processing performed by a computer such as a management server or an information processing apparatus. Further, part or all of the program may be realized by dedicated hardware.

Various programs may be installed in each computer by a program distribution server or a storage medium that can be read by the computer.

(1) First Embodiment (1-1) Hardware Configuration of Information Processing System FIG. 1 shows the hardware configuration of the information processing system in the present embodiment. As shown in FIG. 1, the information processing system includes a network 130, data processing devices 140a to 140c (hereinafter, may be collectively referred to as data processing device 140), a management server 150, and access points 160a to 160d. Hereinafter, it may be collectively referred to as an access point 160.) and terminals 170a to e (hereinafter, sometimes collectively referred to as the terminal 170).

The network 130 is a WAN (Wide Area Network) or a LAN (Local Area Network), and may be a virtual network composed of VLAN, MPLS (Multi-Protocol Label Switching), and virtual slice.

The data processing device 140 is a device that processes data generated by the terminal 170 and data used by the terminal 170. Here, the data processing executed by the data processing device 140 includes sensor information and video analysis for the purpose of monitoring and equipment maintenance, data encryption for enhancing security, confidential data and confidentiality. Deletion of part of data for data protection and legal regulations, restriction of access to data for anti-theft measures, data statistics and abstraction for data utilization, storage of abstract data and storage of all data, For example, cache or transfer.

The management server 150 is a management device that manages the data processing device 140. In the following, the management server 150 will be described mainly with reference to an example of a centralized control architecture that is connected to the data processing device 140 via the network 130, but is not limited to such an example. For example, the management server 150 may be configured in an autonomous distributed architecture that exists in each data processing device 140 and shares management information between the management servers 150. When the management server 150 is configured with an autonomous distributed architecture, a notification process to the management server 150 described later is notified to a plurality of other data processing devices 140 or a data processing device 140 representing them. You may do it.

In addition, the management server 150 includes an input device, an operation screen, an arithmetic processing unit, a data storage unit, and the like used by the administrator of the data processing device 140. The management server 150 has a function of generating and managing various types of information notified to the data processing device 140. The information notified to the data processing device 140 includes, for example, a service requirement 2200, processing determination policy information 1300, a surrounding environment state information template 1100, and a processing determination policy at the time of a change in the surrounding environment used in the second embodiment. Information 1400 and the like.

In the operation screen of the management server 150, a setting button, a change button, a delete button, and the like are displayed together with the above information so that the administrator can change the setting. In addition, information for the administrator to manage the status and processing contents of the data processing device 140 is displayed on the operation screen of the management server 150. The status of the data processing device 140 and the information on the processing contents include the surrounding environment status information 1000, processing method information 1900, processing supportability information 2100, server characteristic information 1700, server internal operation status 2300, communication characteristic information 1500, Also, there are processing method information 2600 at the time of change in the state of the surrounding environment, server behavior information 2700 at the time of change in the state of the surrounding environment, and the like used in the second embodiment.

The access point 160 is a wireless LAN router such as WiFi, or a cellular base station such as 3G or LTE. In the present embodiment, a wired connection device such as an ONU (Optical Network Unit) is also included. The access point 160 is connected to the data processing device 140 directly by wireless or wired or via the network 130 and directly connected to the terminal 170 by wireless or wired.

The terminal 170 is a device for generating and utilizing data, such as a smartphone, a tablet, a notebook PC, a construction device, a medical diagnostic device, a smart meter, an agricultural device, an automobile, an elevator, an escalator, etc. It is.

(1-2) Hardware Configuration of Data Processing Device Next, the hardware configuration of the data processing device 140 will be described with reference to FIG. As shown in FIG. 2, the data processing device 140 includes an arithmetic processing device 501 such as a CPU, an external storage device 502 such as a flash memory and a hard disk drive, an internal storage device 503 such as a DRAM, and a communication switching device 504 such as a router and a switch. A power supply 505, an emergency power supply 506 such as UPS (Uninterruptable Power Supply), a wireless transmission / reception device 507 such as WiFi or Zigbee (registered trademark), a sensor 511, an input / output device 512 such as a monitor or a keyboard, A speaker 513, a driving device 514, a lamp 515, a power generation device 516, and a heat generation / heat removal device 517 are provided.

The data processing device 140 performs operations such as data processing and storage by the program stored in the external storage device 502 being executed by the arithmetic processing device 501 in the internal storage device 503. These programs may be stored in advance in the internal storage device 503, or may be introduced from an external device via the network 130 or a portable storage medium. The program stored in the internal storage device 503 will be described in detail later.

The sensor 511 has a function of measuring the state of the surrounding environment. For example, an azimuth sensor or a gyro sensor that grasps the attitude of the data processing device 140, a GPS that measures a position, a speed sensor, an acceleration sensor, or an emergency power supply surplus Voltage meter for measuring electric energy, camera for grasping people and obstacles, optical sensor, microphone for grasping volume and pitch, thermometer, hygrometer, anemometer for measuring wind force and wind direction, An electromagnetic wave measuring device that measures the amount of electromagnetic waves, a dust meter that measures the amount of dust, a vibration meter that measures vibration, and the like are provided. The state of the surrounding environment of the data processing device 140 can be measured by the sensor 511.

The speaker 513 emits a sound or a beep to notify the user of the nearby terminal 170, the administrator of the data processing device 140, or the data processing device 140. For example, when the administrator newly installs or replaces the data processing device 140 by using the speaker 513 and the surrounding environment state information 1000, the work procedure is changed to a beep sound or the state of the surrounding environment. Can be guided by voice. Accordingly, installation, replacement, setting work, and the like suitable for the surrounding environment where the data processing device 140 is installed can be performed, and the work efficiency of the administrator can be improved.

In addition, when the data processing device 140 uses the speaker 513 and the processing determination policy information 1400 when the state of the surrounding environment changes, for example, when a sensor such as a camera provided in the data processing device 140 detects a human shadow, the management server At the same time as notification to 150, an alarm notifying the suspicious person can be sounded to notify an administrator in the vicinity.

The driving device 514 includes a tire, a motor, a battery, and a controller that controls the motor, and allows the data processing device 140 to be physically moved and rotated. The data processing device 140 uses the drive device 514 and the state information 1000 of the surrounding environment, for example, the data processing device 140 rotates and is measured by the attitude measured by the direction sensor of the data processing device 140 and an anemometer. Therefore, it is possible to determine whether the flow of exhaust heat air from the data processing device 140 is aligned with the flow of air conditioner or natural air from the wind direction, and the exhaust heat efficiency can be improved. Further, it is possible to detect that the light intensity measured by the sensor 511 of the data processing device 140 is weak and to physically move to a position where the light intensity is strong, and the power generation efficiency of solar power generation provided in the data processing device 140 In addition, when the temperature measured by the thermometer rises, it is possible to move to the shade where the temperature is low.

The lamp 515 is an illumination device such as an LED. The data processing device 140 uses the lamp 515 and the status information 1000 of the surrounding environment, for example, the status of the surrounding environment such as temperature, vibration, and dust amount exceeds the range in which the data processing device 140 can operate normally. In this case, the administrator of the data processing device 140 is notified by turning on the lamp, the administrator is notified that the setting of the data processing device 140 needs to be changed or restarted, the communication failure or the data processing device 140 An administrator can be notified when an internal failure occurs.

The power generation device 516 is a device that creates power for operating the data processing device 140 by solar power generation, wind power generation, geothermal power generation, or the like. Accordingly, when it is difficult to supply power energy to the data processing device 140, for example, the data processing device 140 can be operated even when the data processing device 140 is moved outdoors.

The heat generation / heat removal device 517 is an air cooling device such as a fan that removes heat generated inside the data processing device 140, or a heater for maintaining the inside of the data processing device 140 at a temperature at which it can operate normally. The heat generation / heat removal device 517 can maintain the temperature inside the data processing device 140 appropriately even when the temperature of the surrounding environment is higher or lower than the temperature at which the data processing device 140 can normally operate.

(1-3) Functional Configuration of Data Processing Device Next, a functional configuration of the data processing device 140 will be described with reference to FIG. As shown in FIG. 3, the data processing device 140 includes a data processing unit 380, a data storage unit 385, a communication path switching unit 370, a measurement unit 391, a data processing control unit 300, a control data storage unit 350, and the like. .

The data processing unit 380 performs data analysis and primary analysis and secondary analysis, calculation of data statistics, partial deletion and integration, data division, encryption, and the like.

The data storage unit 385 is a storage system capable of processing a plurality of data communication protocols, for example, NFS (Network File System), CIFS (Common Internet File System), FTP (File Transfer Protocol), and HTTP (HyperTransFrtex). ) Or the like, and a part or all of the data processed and converted by the data processing unit and the data to be referred to when the application used by the terminal 170 processes using the communication protocol providing the file sharing service. save.

The communication path switching unit 370 is directly connected to the access point 160, the terminal 170, and the management server 150 via a cable, or connected via the network 130. The communication path switching unit 370 changes the destination of the traffic transmitted to its own data processing device 140 to another data processing device 140 and transfers it, or forwards the traffic destined for the other data processing device 140 to its own data. Or change to a processing device. Also, when transmitting traffic, priority, communication path, and line type may be selected and transmitted. Further, traffic may be stored until a certain time and transmitted at a specified time.

The communication path switching unit 370 may be a software switch instead of a physical device. For example, in the event of a power failure, the communication device switching unit 370 that consumes less power may be kept operating, and the constituent devices such as the data processing unit 380 that do not have a serious effect on the service even if stopped may be stopped. Thereby, operation | movement can be maintained for a long time after a power failure. In addition, when a failure occurs inside the data processing device 140 or when the data processing device 140 is stolen, the communication path switching unit 370 transfers the data and the other data processing device 140 processes the data. You may substitute the preservation. This makes it possible to continue the service while suppressing the amount of data that is stolen or lost.

The measuring unit 391 measures the state of the surrounding environment of the data processing device 140. The measurement items measured by the measurement unit 391 include, for example, the orientation, speed, and acceleration indicating the orientation and angle of the data processing device 140, the surplus power amount of the emergency power supply, and its change speed, and an image of the surrounding environment, Luminous intensity, volume, pitch, temperature, humidity, wind force, wind direction, electromagnetic wave, dust amount, vibration, etc.

The data processing control unit 300 includes a peripheral environment state generation / determination unit 301, a control arbitration unit 302, a communication control unit 303, an execution base control unit 304, a terminal control unit 305, a storage control unit 306, and a service characteristic generation / determination unit 307. Composed. The data processing control unit 300 generates status information of the surrounding environment where the data processing device 140 is installed, and transmits / receives a request for status information and processing contents of the surrounding environment of each data processing device 140 to / from other data processing devices 140. By doing so, the data processing contents and storage locations in each data processing device 140 are determined in consideration of the surrounding environment of the plurality of data processing devices 140 and changes thereof.

The peripheral environment state generation / determination unit 301 generates peripheral environment state information, and manages the peripheral environment state information of the plurality of data processing devices 140 exchanged by the data processing device 140.

The control arbitration unit 302 determines a data processing method performed by the data processing device 140 based on the state information of the surrounding environment, server characteristics, communication characteristics, and service requirements.

The communication control unit 303 manages communication characteristics between the data processing devices 140, between the data processing device 140 and the terminal 170, and between the data processing device 140 and the management server 150, and controls the communication path switching unit 370.

The execution platform control unit 304 manages server characteristics and in-server operation status, and manages applications and data when the data processing device 140 does not hold the applications and data necessary for performing the requested processing. Request to 150. Applications include conventional web applications such as storage services, online games, and business applications, failure sign detection for construction equipment and industrial equipment, railway operation management, image analysis of surveillance cameras, analysis of medical images and biometric data, etc. , BEMS and HEMS power visualization and control, human flow analysis, signal control, and the like.

The terminal control unit 305 manages the characteristics of the terminal 170 and transmits a request to the terminal 170. The characteristics of the terminal 170 are, for example, the state of the surrounding environment of the terminal 170, the screen size, processing capability, data capacity, and communication speed of the terminal 170. The peripheral environment of the terminal 170 is, for example, a device that is inside or outside the company base, or physically close to the terminal 170. The terminal characteristic generation / determination unit manages whether the terminal 170 is accessing from inside or outside the company base. Thereby, it is possible to determine whether or not to provide confidential data, and security is improved.

The terminal characteristic generation / determination unit manages the screen size, processing capability, data capacity, and communication speed, so that the processing content in the data processing device 140 can be optimized, and the quality of experience of the user of the terminal 170 can be improved. Can be improved. Here, the processing content includes, for example, whether or not video is compressed, the type of codec, and the bit rate adjustment. The request transmitted to the terminal 170 is, for example, a request for self-access to the data processing device 140 or an access request to another data processing device 140 as the processing load increases.

The storage control unit 306 manages data stored in the data storage unit 385 inside and outside the same data processing device 140. The storage control unit 306 manages the storage location of data in the data processing device 140 when the data processing device 140 holds a plurality of data storage units 385. The storage control unit 306 may manage the data processing device 140 in which data is stored. The storage control unit 306 may manage data stored in the data storage unit 385 as primary data or secondary data, or may manage it as a temporary cache.

The service characteristic generation / determination unit 307 manages the service requirement 2200 indicating the content requested by the service, the state information template 1100 of the surrounding environment, and the server characteristic information 1700.

The control data storage unit 350 stores data used by the data processing control unit 300. The control data storage unit 350 includes a surrounding environment state information storage unit 351, a communication characteristic information storage unit 352, a terminal characteristic information storage unit 353, a service characteristic information storage unit 354, and a server characteristic information storage unit 355. The information held by the control data storage unit 350 is shown below.

The surrounding environment state information storage unit 351 is a storage unit that holds the state and characteristics of the surrounding environment of the data processing device 140. The surrounding environment state information storage unit 351 holds surrounding environment state information 1000 and a surrounding environment state information template 1100 described later.

The communication characteristic information storage unit 352 is a storage unit that holds communication characteristics between the data processing devices 140, the data processing device 140 and the access point 160, and between the data processing device 140 and the management server 150. The communication characteristic information storage unit 352 holds communication characteristic information 1500 described later.

The terminal characteristic information storage unit 353 is a storage unit that holds the characteristics of the terminal 170. The terminal characteristic information storage unit 353 holds the terminal ID, the terminal owner affiliation organization ID, the peripheral environment information of the terminal, the screen size, the processing capability, the data capacity, and the communication speed.

The terminal ID is a terminal identifier. The terminal owner affiliation organization ID is an identifier of the organization to which the terminal owner belongs. The peripheral environment information of the terminal is classified into base internal / external information, communication base internal / external information, nearby device ID, or access point ID. The inside / outside base information is information indicating whether the terminal 170 is physically located within the base of the same organization as the terminal owner or outside the base. The communication base inside / outside information is information indicating whether the terminal 170 is connected from a network in a base of the same organization as the terminal owner or from a network outside the base.

The network in the base includes a wide area network constructed by VPN (Virtual Private Network) or the like. The nearby device ID indicates an identifier of a device that is physically close to the terminal 170 when the terminal user manages or uses a construction device, a medical device, a farming device, or the like. The access point ID indicates an identifier of the access point 160 such as a wireless router through which the terminal 170 is connected to the data processing apparatus 140 for communication.

By holding both the terminal owner affiliation organization ID and the peripheral environment status information 1000 described later, the status of the peripheral environment of the data processing device 140 and the data processing corresponding to the change are made for each affiliation organization of the terminal owner. Judgment becomes possible. For example, when the data processing device 140 detects that a power outage or disaster has occurred, a data processing request such as data reference or update from the terminal owner terminal 170 belonging to a public organization such as the police or local government to the data processing device 140 When there is, it is possible to determine which process is executed with priority. Note that the terminal owner affiliation organization ID may be hierarchized in order to make a difference in data processing even within the same organization of the terminal owner.

By retaining both the screen size, processing capacity, data capacity, communication speed of the terminal, and status information 1000 of the surrounding environment described later, when the surrounding environment of the data processing apparatus 140 changes, the data processing apparatus in the terminal 170 It is possible to appropriately determine whether or not the processing content 140 can be executed. For example, when a part of the data processing device 140 is stopped in order to reduce the surplus power amount of the data processing device 140 and reduce the power consumption and extend the continuous operation time of the data processing device 140, the data processing device 140 It is possible to determine whether or not the terminal 170 has a performance that can perform part of the processing performed by the terminal 170.

In addition, it is possible to provide appropriate information to the terminal 170 by holding the information on the inside and outside of the base and the information on the inside and outside of the communication base. For example, security can be improved by restricting applications and data that can be used by the terminal 170 to the terminal 170 located outside the base. In addition, by holding both the inside / outside base information and the inside / outside information of the communication base and the state information 1000 of the surrounding environment, which will be described later, high confidentiality and confidentiality can be achieved without checking the contents of the data transmitted from the terminal 170. The data can be estimated and the appropriate data processing can be performed in consideration of the security, management system and laws and regulations of the place where the data processing device 140 is installed. Thereby, for example, the communication switching unit of the data processing device 140 can determine the transfer destination based on a part of the information of the data without checking all the information of the data, thereby reducing the load on the data processing unit 380. can do.

The service characteristic information storage unit 354 is a storage unit that holds requirements for each service, processing contents of data processing contents of each service, and policy information. The service characteristic information storage unit 354 holds processing determination policy information 1300, service requirements 2200, processing method information 1900, and processing availability information 2100.

The server characteristic information storage unit 355 holds information on the processing capability and characteristics of the data processing device 140 and the operating status. The server characteristic information storage unit 355 holds server characteristic information 1700, server characteristic-processing effect mapping information 1800, and a server internal operation status 2300, which will be described later.

(1-4) Various Data First, the surrounding environment state information 1000 and the surrounding environment state information template 1100 held by the surrounding environment state information storage unit 351 in the present embodiment will be described.

FIG. 4 is a chart showing an example of state information 1000 of the surrounding environment. The surrounding environment state information 1000 is information indicating the state of the surrounding environment of the data processing device 140. The data processing device 140 determines a processing method, which will be described later, based on the surrounding environment state information 1000. Policy information 1300 is generated.

Also, the state information 1000 of the surrounding environment is regularly updated, but past information for a predetermined period is also retained. The data processing device 140 estimates future changes in the state information 1000 of the surrounding environment using the past state information 1000 of the surrounding environment retained for a predetermined period.

The surrounding environment state information 1000 is generated based on a value measured by the measuring unit 391 and a surrounding environment state information template 1100 described later. As shown in FIG. 4, the surrounding environment status information 1000 includes a server ID column 1001, an environmental characteristic ID column 1002, an IP address column 1003, a measurable physical quantity column 1004, a disaster related information column 1005, and a security / management system column 1006. , A legal regulation column 1007, an infrastructure maintenance status column 1008, a surplus resource information column 1009, and the like.

In the server ID column 1001, an identifier of the data processing device 140 is stored. The environmental characteristic ID column 1002 stores an identifier of the environmental characteristic, and an environmental characteristic having substantially the same state and characteristic of the surrounding environment of the data processing device 140 is uniquely identified by the environmental characteristic ID. The IP address column 1003 stores the IP address of the data processing device 140.

The measurable physical quantity column 1004 includes position (background / altitude), posture, speed, acceleration, electric power, surplus electric energy, shadow / obstacle, luminous intensity, volume, pitch, temperature, humidity, wind force, wind direction, electromagnetic wave, dust Alternatively, vibration measurement values are stored. As described above, these measured values are acquired by a sensor built in the data processing device 140.

The position (background / altitude) indicates the physical position of the data processing device 140. The posture indicates the direction and angle of the data processing device 140 and is acquired by an orientation sensor or a gyro sensor. The speed indicates the moving speed of the data processing device 140 and is acquired by a speedometer. The acceleration indicates the acceleration of the data processing device 140 and is acquired by an accelerometer. The electric power indicates the amount of electric power supplied to the data processing device 140 from the outside, and is measured by an ammeter. The surplus power amount indicates the remaining amount of power stored in the emergency power source of the data processing device 140 and is measured by a voltmeter.

The human figure / obstacle indicates the presence or absence of a person or an obstacle around the data processing device 140, and is acquired by photographing and image processing of a camera built in the data processing device 140. The volume indicates the volume of the surrounding sound (in decibels), and the pitch indicates the pitch and rhythm of the sound. The volume and pitch are acquired by a microphone. The temperature indicates the ambient air temperature, and the humidity indicates the ambient humidity, which are acquired by a thermometer and a hygrometer, respectively. The wind force indicates the strength of the wind, and the wind direction indicates the wind direction, both of which are obtained by an anemometer. The electromagnetic wave indicates the ultraviolet ray, infrared ray, and X-ray dose that the data processing device 140 receives and is acquired by an electromagnetic wave measuring device. The dust indicates the amount of yellow sand and dust, and is acquired by a dust meter. The vibration indicates the period and amplitude of vibration of the data processing device 140 and is acquired by a vibrometer.

By holding the above-described measurable physical quantities, it is possible to grasp the state of the surrounding environment where the data processing device 140 is installed and the state change. The data processing device 140 can determine the data processing suitable for the state of the surrounding environment and the change of the state and the behavior of the data processing device based on the measurable physical quantity.

For example, the data processing device 140 can estimate the ease of the data processing device toppling by grasping the posture. It is also possible to estimate physical stimuli by measuring speed, acceleration, and vibration, and to select a data processing device for storing data based on the possibility of physical damage to the data processing device. . As a result, even if a part of the data processing device is an unstable posture data processing device or a data processing device that has a large possibility of being subjected to a physical shock with a large speed, acceleration, and vibration, a high operating rate is required. This reduces the risk of service interruption of the service being used and reduces the risk of losing data that requires long-term storage and important data.

The disaster-related information column 1005 stores values indicating damage frequency, damage area ID, and infrastructure recovery time. The frequency of damage indicates the frequency of occurrence of a snowfall, cold wave, or extremely hot climate that affects the normal operation of the data processing device 140, or an earthquake such as a fire, tsunami, or earthquake. The disaster area ID indicates an identifier of a physical area that may be affected by the same climate or earthquake. The infrastructure recovery time indicates the infrastructure recovery time when the infrastructure is not operating normally due to the disaster.

By holding the damage frequency, the damage area ID, and the process determination policy information 1400 when the state of the surrounding environment changes as described in the second embodiment, which will be described later, the data processing apparatus 140 can perform the future based on the change in the surrounding environment. Data processing can be changed before disasters occur in anticipation of the earthquake. For example, when the disaster area ID indicates an area where the frequency of large earthquakes is high, when the measurement unit 391 of the data processing device 140 detects an earthquake P wave or receives an earthquake early warning from the Japan Meteorological Agency, the data processing device The important data held by 140 is transmitted to another data processing device 140 having a different disaster area ID, the data held in the volatile storage unit is saved in the non-volatile storage unit, and the non-volatile storage unit is stopped. By doing so, it becomes possible to protect the data.

By holding the disaster area ID, data can be backed up to the data processing device 140 with a different disaster area ID, and the risk of losing both primary and secondary data due to a disaster can be reduced. Further, by maintaining the infrastructure recovery time, for example, when a failure occurs in the power infrastructure, the data processing device 140 continues to operate until the data processing device 140 recovers the infrastructure with the surplus power of the emergency power source 506. In addition, it is possible to grasp the power consumption that can be consumed per unit time. As a result, when the operation of some of the devices such as the arithmetic processing device 501 in the data processing device 140 is stopped and the degenerate operation is performed, the number of devices to be stopped can be grasped.

The security / management system column 1006 stores information indicating security, enlistment management, manager skills, and manager ethics, and is acquired by input from the management terminal of the management server 150. The security information indicates the security status of the area where the data processing device 140 is installed. The enlistment management information indicates the physical security level of the facility where the data processing device 140 is installed. The manager skill information indicates the skill of the local manager of the facility and the data processing device 140. The manager ethics information indicates the ethics level of the manager.

Based on the information stored in the security / management system column 1006, the data processing device 140 can determine the data processing method in consideration of the security and management system. In addition, the data processing method can be defined so as to satisfy the corporate governance of the company that holds the data processing apparatus 140 and the company that uses it. For example, confidential information and the like can be stored preferentially over the data processing device 140 installed in an area where security is good and the management system is in place.

The information stored in the legal regulation column 1007 is information that regulates the data processing method according to laws and corporate governance regulations, and includes data movement regulation, data storage regulation, data utilization regulation, data encryption regulation, and copyright regulation. Information to be stored is stored, and is mainly acquired by input from the management terminal of the management server 150. The data movement restriction information indicates the degree of restriction of data transfer between the data processing devices 140. The data storage restriction information indicates whether data can be stored in the data processing device 140. The data utilization regulation information indicates whether or not the reference or update from the terminal 170 or the reference or update request from the application is acceptable.

This is one of the status information of the surrounding environment of the data processing device 104 when data is transmitted outside the country where the data processing device 104 is installed or outside the company base according to the information stored in the legal regulation column 1007. Based on the laws and regulations of the country where the system is installed and the corporate governance of the company, it is possible to determine whether or not to transmit the data after deleting the confidential part or highly confidential part of the data. As a result, it is possible for administrators and users to comply with laws and regulations without manually deleting confidential or highly confidential parts of data in data processing devices 104 scattered inside and outside various countries and business locations. It becomes.

Further, it is possible to grasp that the data processing device 104 is moving from position information, velocity information, and acceleration information, which are one of the state information of the surrounding environment of the data processing device 104. For example, when the data processing device 104 crosses the border, based on the laws and regulations of the destination country, conversion of data held in its own data processing device or the destination of the data processing device 104 It becomes possible to move the data regulated in the country to the data processing device 104 arranged in another country.

The infrastructure maintenance status column 1008 stores values indicating the maintenance status of the power infrastructure and communication infrastructure, and is acquired by input from the management terminal of the management server 150. The maintenance status of the power infrastructure indicates the stability of the power supplied from the outside to the data processing device 140 and the length of the energization time in the area where the planned energization is performed. The communication infrastructure maintenance status indicates the stability of the network 130 connecting the data processing device 140 and the terminal 170, the data processing device 140, and the data processing device 140 and the management server 150, and the ratio of the disconnection time.

By maintaining the value of the power infrastructure maintenance status, for example, when storing data related to an application that needs to continue service even in the event of a power failure, select a data processing device 140 with a stable power supply can do.

In addition, by maintaining the value of the communication infrastructure maintenance status, for example, when the data processing device 140 mounted on a moving body such as an automobile moves out of service area and communication with other data processing devices 140 is interrupted, Control to acquire necessary data from other data processing device 140 while communication is connected, or to unnecessarily retransmit data to be transmitted to other data processing device 140 when communication disconnection occurs It is possible to store data and wait until communication is established without repeatedly depleting the resources of the network 130. Furthermore, when a communication disconnection occurs, it can be determined that the communication is not an unexpected communication failure but an expected communication disconnection, and an unnecessary communication disconnection notification can be prevented from being transmitted to the management server 150 or the like.

The surplus resource information column 1009 stores information indicating surplus site area, surplus power, and surplus line bandwidth, and is acquired by input from the management server 150. The surplus site area indicates the number of data processing devices 140 that can be additionally installed at the installation location of the data processing device 140 from the viewpoint of the surplus site area. The surplus power indicates the number of data processing devices 140 that can be additionally installed at the installation location of the data processing device 140 from the surplus supply power amount. The surplus line bandwidth indicates the number of data processing devices 140 that can be installed from the viewpoint of the bandwidth of the communication line or the number of lines.

By retaining the surplus site area, surplus power, and surplus line bandwidth, the data processing device 140 is added as the number of terminals increases in the future and the processing load on the data processing device 140-1 increases and the amount of data to be stored increases. The manager of the data processing apparatus 140 can grasp how many units can be installed when installing the system. Further, by holding surplus resource information, a server internal operation status 2300, which will be described later, and a service requirement 2200, for example, the number of data processing devices that can be additionally installed by the data processing device 140 is limited, and self When the storage capacity of the unused data processing device 140 is limited, the data storage location of the service that does not require high responsiveness is additionally installed at a location where a large number of data processing devices can be installed. The data can be stored in the processing device 140 or the data processing device 140 having a sufficient unused storage capacity. As a result, more data can be stored without securing additional site area, power, and communication line.

FIG. 5 is a chart showing an example of the state information template 1100 of the surrounding environment. The surrounding environment state information template 1100 is difficult for the management server 150 to grasp by itself based on the measurable physical quantity of the surrounding environment state information 1000 that the data processing device 140 can measure. It is information that estimates and notifies disaster-related information, security / management systems, laws and regulations, infrastructure development status, and surplus resource information to the data processing device 140.

These pieces of information are acquired from the management server 150 or from a website via the Internet. The surrounding environment state information template 1100 estimates disaster-related information, security / management systems, laws and regulations, infrastructure development status, and surplus resource information from the measurable physical quantities of the surrounding environment state information 1000. It is the information referred to by.

The surrounding environment state information template 1100 includes an environment characteristic ID column 1101, a condition value column 1102, and an estimated value column 1103. The environmental characteristic ID column 1002 stores an identifier of the environmental characteristic. The condition value column 1102 includes the same items as the IP address of the state information 1000 of the surrounding environment and the measurable physical quantity items, but each item describes a range indicating a condition, not a value. For example, the speed is 0 to 1 m / sec, and the temperature is 25 to 35 ° C. The estimated value column 1103 stores disaster-related information, security / management systems, laws and regulations, infrastructure development status, and surplus resource information of the state information 1000 of the surrounding environment.

Based on the information stored in the surrounding environment state information template 1100, the data processing device 140 uses the surrounding environment state information 1000 for disaster-related information, security / management systems, laws and regulations, infrastructure development status, and surplus resources. Information can be grasped.

Next, processing determination policy information 1300, service requirements 2200, processing method information 1900, and processing supportability information 2100 stored in the service characteristic information storage unit 354 in the present embodiment will be described.

FIG. 6 is a chart showing an example of the processing determination policy information 1300. The processing determination policy information 1300 is managed for each service ID of each data processing device 140, and indicates a determination criterion for the data processing control unit 300 to determine a processing method.

The process determination policy information 1300 includes a classification column 1301, an evaluation item column 1302, a request value column 1303, an environment reference value column 1304, an application processing column 1305, a processing / conversion column 1306, a transfer column 1307, and a storage column 1308.

The classification column 1301 stores information indicating the classification of the evaluation item, and the classification of the evaluation item includes availability, completeness, certainty, confidentiality, responsiveness, expandability, efficiency, cost, and the like. In determining the data processing method, the data processing device 140 describes the environment reference value and the required value determined by the state of the surrounding environment in the column of the data processing method such as application processing, processing / conversion, transfer, and storage. When the conditional statement is satisfied, the data processing contents are grasped by referring to the action defined in the same place.

Note that the time zone may be specified as one of the conditions specified in the conditional statement. By specifying the time zone in the conditional statement, it is possible to specify different actions in each time zone. As a result, in the second embodiment described later, the data processing device 140 does not change the data processing method reactively after the data processing device 140 changes the state of the surrounding environment, but the surroundings expected at a certain date and time. In anticipation of environmental changes, data processing methods can be defined.

Note that the method for predicting a change in the surrounding environment at a certain date and time predicts that a change in the state of the surrounding environment occurs in the same cycle when the state of the surrounding environment shown in the second embodiment periodically changes. A method is mentioned. In addition, if a similar change in the surrounding environment is repeatedly generated as a predictor for a certain time Δt before a change in the state of a certain surrounding environment occurs, the state of the surrounding environment will change after Δt if a similar sign is detected. And a method for predicting Hereinafter, each item of the evaluation items will be described.

Availability indicates the risk of service interruption. Integrity indicates the risk of data loss or theft. Certainty indicates the risk of malfunctioning in the event of an abnormality. Confidentiality indicates the risk of data leakage. Responsiveness indicates time (RTT including processing delay) until response to a request from the terminal 170 or the data processing device 140. Extensibility indicates a processing delay of the data processing device 140. Efficiency indicates the power generation efficiency and air conditioning efficiency of the data processing device 140. The cost indicates communication, power cost, and maintenance cost.

The evaluation item is an item of service requirements that the service requests from the information processing system. Evaluation items are classified into the following categories: availability, completeness, airtightness, responsiveness, scalability, efficiency, and cost. Failure recovery time, availability and duration are classified as availability. Loss rate, theft rate and external connectivity are classified as completeness. Taking out of the area is classified as confidentiality. Responsiveness is classified as responsiveness. Extensibility is classified as extensibility. Air conditioning and power generation are classified as efficiency. The total cost, communication / power cost, and maintenance cost are classified into costs.

The failure recovery time indicates the time from when a failure occurs in the data processing device 140, the management server 150, or the network 130 until the service is recovered. The operation rate indicates a ratio of time during which the service is operating in a predetermined period. The duration indicates a time during which communication is possible between the data processing devices 140 and between the terminal 170 and the data processing device 140 and the service can be continuously provided. For example, when the data processing device 140 is operated in a planned energized area where power is not provided for 24 hours 365 days, or when the data processing device 140 mounted in an automobile or the like moves between the communication range and the outside of the communication range, the data processing device 140 Indicates the time that can be continuously operated.

The loss rate indicates a probability that data stored in the data processing device 140 is lost. When the same data is stored in a plurality of data processing devices 140, it indicates the probability that data stored in all the data processing devices 140 will be lost.

The theft rate indicates the probability that the data stored in the data processing device 140 is stolen by the physical theft of the data processing device 140. When the same data is stored in a plurality of data processing devices 140, the probability that the data stored in one or more data processing devices 140 is stolen is shown.

External connectivity refers to the risk that data stored in the data processing device 140 is stolen by connection from an unexpected server or PC such as hacking. External connectivity is evaluated at the level of external network interruption, VPN connection, Internet connection, and the like. When the same data is stored in a plurality of data processing devices 140, the probability that the data stored in one or more data processing devices 140 is stolen is shown.

“External take-out” indicates the level of physical carry-out ease of the data processing device 140. External take-out is evaluated by the installation location of the data processing device 140, for example, indoor / outdoor, building entrance / exit management, and the like.

Responsiveness indicates time (RTT including processing delay) until response to a request from the terminal 170 or the data processing device 140.

Expandability indicates the number of data processing devices 140 that can be additionally installed under the conditions of existing power supply, communication line, and site area.

Air conditioning indicates the operating efficiency of the heat generation / heat removal device of the data processing device 140. Power generation indicates the operating efficiency of the power generation device such as solar power generation of the data processing device 140.

The total cost indicates the total of communication / power costs and maintenance costs. The communication / power cost indicates the sum of the cost for communication and the cost for power consumption. The communication cost is calculated from the communication amount and the communication line, and the power cost is calculated from the power consumption. The maintenance cost indicates a cost required for maintenance by the operation manager. The maintenance cost is calculated from the number of replacements of the data processing device 140 required per year and the cost required for the replacement. These values are input in advance by the operations manager. The evaluation items have been described above.

Next, the required value, environmental standard value, application processing, processing / conversion, transfer, and storage will be described. The request value is a service requirement requested by each service. That is, it is required that the value of each evaluation item satisfies the required value. The required value includes a target value indicating that it is preferable to satisfy the requirement value and an allowable value indicating that it must be satisfied.

By including the target value and the allowable value in the required value, even if the target value cannot be achieved in the event of an abnormality such as a power outage or disaster, it is possible to make a judgment to reduce some of the quality to the allowable value and satisfy the target value. Even in the case where there is not, control can be performed so as to satisfy the minimum required value.

The environmental standard value is a value determined by the surrounding environment where the data processing device 140 is installed. The smaller the environmental standard value, the worse the surrounding environment is, and it is difficult to satisfy the required value. For example, when the speed or acceleration of the data processing device 140 is large, the data processing device 140 is more likely to be physically damaged than the stationary data processing device 140, and is stored in that amount. There is a high possibility that it will not be possible to refer to data. That is, the greater the speed and acceleration of the data processing device 140, the smaller the environmental reference value for the loss rate. The environmental reference value may be calculated based on the server characteristic information 1700 and the communication characteristic information 1500 in addition to the state information 1000 of the surrounding environment.

By maintaining the environmental reference value, it becomes possible to consider the state of the surrounding environment of each data processing device 140 when determining the data processing method, and all the data processing devices 140 are protected in a robust building or the like. Even when the data is not arranged in a uniform environment, it is possible to perform appropriate data processing and storage by the optimum data processing device 140, and to reduce the influence of the surrounding environment.

In each item of the application process column 1305, the processing / conversion column 1306, the transfer column 1307, and the save column 1308, a conditional statement for determining whether or not to execute each process and an action when the condition is satisfied are described. . The action includes three types: MUST indicating that the action is to be executed, SHOULD indicating that the action should be executed, and MAY indicating that the action may be executed.

For example, as an action, the tolerance value of the fault recovery time line is 120 s, the environmental standard value is 150 s, and the transfer condition statement is described as the allowable value is larger than the environmental standard value. It is described that it is MUST to transmit the received data to the device 140 and the data processing device with the smallest communication delay. Since the conditional statement satisfies the condition, the received data is transferred to the data processing apparatus with the smallest communication delay. Each item of application processing, processing / conversion, transfer, and storage will be described below.

The application processing column 1305 stores processing contents executed by the application stored in the data processing device 140. In the case of a program considering distributed processing, a plurality of processes such as process 1 and process 2 are divided and stored in the application process column 1305.

The processing / conversion column 1306 stores information indicating statistics / abstraction, partial deletion, integration, division, and encryption. Statistical / abstraction is a process for reducing the amount of data, such as data creation by extending the time interval of time series data such as sensors, data creation by reducing the resolution of image and moving image data and sound quality of audio data. Data statistics and abstraction can reduce the amount of data to be saved and the amount of communication. Partial deletion is to delete a part of confidential data or confidential data. With partial deletion, when data is transmitted outside the country or business base, the portion that needs to be deleted can be deleted and transmitted to meet the regulations of laws and regulations and corporate governance. Integration is a process of integrating similar information. By integration, similar data generated by a plurality of sensors can be collected, and the amount of data to be saved and the amount of communication can be reduced. The division is a process of separating data into a plurality of significant partial data. Due to the division, for each partial data, the communication amount is reduced by storing the data in the data processing device 140 that is close to the terminal 170 that is most frequently referred to on the network topology, and when the terminal 170 refers to the partial data. Responsiveness can be improved. Encryption is a process of encrypting data.

The transfer column 1307 stores information indicating the transfer destination, priority, time, and route / line type. The transfer destination is an identifier of the data processing device 140 that is the transfer destination when transferring data. The priority is a priority order that determines the order of transfer when transferring a plurality of data. The time indicates the transfer start time when the transfer is performed with time designation. The route / line type indicates a communication route and a line type.

The save column 1308 includes abstract save, partial save, and full save. Abstract storage indicates the storage of statistical / abstracted data. Partial storage indicates storage of partially deleted data. Save all indicates that almost all received data is saved.

FIG. 7 is a chart showing an example of the service requirement 2200. The service requirement 2200 is managed for each service ID, and stores requirements that each service requests from the distributed processing system. The service requirement 2200 includes a classification column 2201, an evaluation item column 2202, a request level column 2203, and a service ID column 2204 that is an identifier of each service.

In the classification column 2201 and the evaluation item column 2202, information similar to the classification column 1301 and the evaluation item column 1302 of the processing determination policy information 1300 is stored, respectively. The request level column 2203 stores a target value and an allowable value for each evaluation item. The target value indicates a value required for optimal operation of the service, and the allowable value indicates a value required for normal operation of the service.

FIG. 8 is a chart showing an example of the processing method information 1900. The processing method information 1900 is managed for each data processing device 140 and indicates a method for processing data received by the data processing device 140. As shown in FIG. 8, the processing method information 1900 includes a server ID column 1901, a service ID column 1902, an application processing column 1903, a processing / conversion column 1904, a transfer column 1905, and a storage column 1906.

The server ID 1901 stores a server identifier. The service ID column 1902 stores service identifiers. The application processing column 1903, the processing / conversion column 1904, the transfer column 1905, and the storage column 1906 include an application processing column 1305, a processing / conversion column 1306, a transfer column 1905, and a storage column 1906 of the processing determination policy information 1300, respectively. Stores a value corresponding to the action specified in.

FIG. 9 is a chart showing an example of the processing supportability information 2100. The processing supportability information 2100 is information that is managed for each data processing device 140, and notifies the availability of data processing when the data processing device 140 receives a data processing request from another data processing device 140. Further, it indicates whether or not it is possible to respond to a processing request from another data processing apparatus 140.

The processing availability information 2100 includes a server ID column 2101, a service ID column 2102, an application processing column 2103, a processing / conversion column 2104, a transfer column 2105, and a storage column 2106. Each item is the same as the processing method information 1900, and the items other than the server ID column 2101 and the service ID column 2102 describe whether or not it is possible to handle data processing.

Next, the server characteristic information 1700 and the server internal operation status 2300 held by the server characteristic information storage unit 355 will be described.

FIG. 10 is a chart showing an example of the server characteristic information 1700. The server characteristic information 1700 is managed for each data processing device 140 and is used by the data processing device 140 to generate a processing determination policy. The server characteristic information 1700 includes a classification field 1801, an evaluation item field 1802, and a correspondence availability field 1803 for each server ID. The classification includes basic performance, special computing capability, and management attributes. Items are classified into computing capacity and storage capacity included in basic performance, KVS and streaming processing included in special computing capacity, and owner and use included in management attributes. The calculation capability indicates the calculation speed of an arithmetic processing device such as a CPU. The storage unit capacity indicates a capacity in which the storage unit stores data. KVS indicates whether the storage unit is compatible with KVS (Key Value Store). The Streaming process indicates the processing capability for the Streaming process.

In the server characteristic information 1700, in addition to the basic performance information, the information on the special computing capability is retained, so that the data processing device 140 corresponding to the KVS or Streaming process and the data processing device 140 not corresponding to the data can be mixed. Appropriate processing can be requested between the processing devices 140.

The owner indicates the owner of the data processing apparatus 140 or the organization to which the owner belongs. The usage indicates a range of usable users of the data processing apparatus 140, and is classified into single use only, sharing within the same owner, and sharing among different owners. The virtualization apparatus may be used to logically divide the internal resources of the data processing apparatus 140 into a plurality of logical resources and define the owner and usage for each logical resource.

In addition, by holding the owner information, even when various owners use the data processing device 140 or when the resource is shared among the owners, appropriate processing is requested between the data processing devices 140. be able to.

FIG. 11 is a chart showing an example of the operation status 2300 in the server. The in-server operating status 2300 is managed for each data processing device 140, and is used when the data processing device 140 generates server behavior information 2700 at the time of state change of the surrounding environment mainly described in the second embodiment. The The in-server operating status 2300 indicates the operating status and characteristics of each component device that constitutes the data processing device 140, the influence on the processing capacity and power consumption caused by operating and stopping the component device, and the data processing unit and service. Used to understand the impact on

The in-server operating status 2300 includes a configuration device column 2301, an operating status column 2302, a power consumption column 2303, a maximum capacity column 2304, a usage rate column 2305, a stoppage availability column 2306, a stop effect data processing unit column 2307, and a stop status. It has an influence service column 2308.

The component device column 2301 stores identifiers of the component elements shown in the physical configuration of the data processing device 140. That is, the component device is an arithmetic processing device, an external storage device, an internal storage device, a communication switching device, a power supply, an emergency power supply, a wireless transmission / reception device, a sensor, an input / output device, a speaker, a drive device, a lamp, a power generation device, or a heat generation / The identifier of the heat removal device is stored. When the data processing device 140 includes a plurality of component devices, an identifier for each component device is stored. For example, when three arithmetic processing devices are included, three items of the arithmetic processing device 1, the arithmetic processing device 2, and the arithmetic processing device 3 are stored.

The operating status column 2302 stores information indicating the operating status of each component device, and stores information indicating whether the component is operating normally, abnormally, or stopped. The power consumption column 2303 stores information indicating the amount of power consumed by each component device.

The maximum capacity column 2304 stores information indicating the maximum capacity that each component device can exhibit. For example, the processing unit stores information indicating the processing capacity, the storage capacity of the external storage device or the internal storage device, the maximum throughput of the communication switching device, the maximum accumulated power of the emergency power supply, and the maximum power generation capacity of the power generation device. . The usage rate column 2305 stores a value obtained by dividing the capability used by each component device at the most recent time by the maximum capability. For example, in the arithmetic processing unit, the CPU usage rate or the like.

The stop availability column 2306 stores information indicating whether each component device can be stopped. With this information, it is possible to determine a device to be stopped in consideration of services that are affected by stopping the device in the event of a power failure or the like. In the influence data processing section field 2307 at the time of stop, the identifiers of the constituent devices in the same data processing device 140 that are affected by stopping the constituent devices are stored. In the influence service column 2308 at the time of stop, an identifier of a service that is affected by stopping the component device is stored.

The data processing device 140 holds both the in-server operation status 2300 and the processing determination policy information 1400 at the time of the change in the status of the surrounding environment shown in the second embodiment, thereby providing a service for the status of the data processing device 140 in the surrounding environment. And the influence on the data processing unit can be reduced. In particular, when the amount of power supplied changes, it is possible to reduce power consumption due to operation and stop of the constituent devices of the data processing device 140 while suppressing the influence on the service and the data processing unit as much as possible.

Next, the communication characteristic information 1500 held by the communication characteristic information storage unit 352 in the present embodiment will be described.

FIG. 12 is a chart showing an example of the communication characteristic information 1600. The communication characteristic information 1600 is managed for each data processing device 140, and is used by the data processing device 140 to generate a processing determination policy. The communication characteristic information 1600 indicates the communication characteristics of each section between the data processing apparatuses 140, between the data processing apparatus 140 and the access point 160, and between the data processing apparatus 140 and the management server 150. Instead of the communication characteristic between the data processing device 140 and the access point 160, the communication characteristic between the data processing device 140 and the terminal 170 may be used.

Communication characteristic information includes delay, bandwidth, discard rate, communication disconnection, redundancy, and SRPG for each communication path in each section. The delay indicates RTT (Round Trip Time). The bandwidth indicates L4 throughput. The discard rate indicates the packet loss rate. Communication disconnection indicates whether communication is possible. Redundancy indicates the presence or absence of a backup path for failure. SRPG (Shared Risk Path Group) indicates an identifier of a set of communication paths that are disconnected due to a single failure.

(1-5) Details of Operation of Data Processing Device FIG. 13 is a sequence diagram showing the operation when the data processing device is installed in the present embodiment. First, a flow of a series of operations when the data processing device 140 is installed will be described, and then a specific example of this operation will be described. Hereinafter, one management server 150, three data processing devices 140a to 140c, and two terminals 170a and b will be described as examples. However, the present invention is not limited to this example, and a plurality of management servers 150, a plurality of data processing devices are used. The following operations are also applied to 140 and a plurality of terminals 170.

First, the data processing apparatus 140a is installed at a certain installation location by an administrator or the like (S101). The installation work in step S101 includes a physical connection with a power source and a communication line and a work for turning on a power switch. When the power is turned on, the data processing device 140a is communicatively connected to the management server 150. When communicating with the management server 150, the data processing device 140a determines the communication connection destination based on the IP address or URL stored in the control data storage unit at the time of shipment from the factory, and is secured by IP-SEC, SSL, or the like. Establish communication.

Subsequently, the data processing device 140a measures the state of the surrounding environment and the characteristics and state of the data processing device 140a (S102). The state of the surrounding environment measured in step S102 is a measurable physical quantity and IP address of the state information 1000 of the surrounding environment. These ambient environment states are measured by the measurement unit 391 of the data processing device 140a using the sensor 511. As described above, the data processing apparatus 140 includes the measurement unit 391 and the sensor, so that the data processing apparatus 140 can acquire the installation environment of the data processing apparatus 140 without the administrator inputting the installation environment. In addition, it is not necessary for the SIer having specialized knowledge to perform installation and replacement work of the data processing device 140.

As a result, it becomes possible for the delivery company to perform the installation and replacement work of the data processing device 140. As a result, for example, when a manufacturer or the like who sells the conventional data processing device 140 performs maintenance services such as installation and replacement work, the agent who does not have specialized knowledge but has channels to various remote locations is substituted. New business models are also possible.

The characteristics and state of the data processing device 140a measured in step S102 are server characteristic information 1700, server internal operation status 2300, and communication characteristic information 1500. The understanding of the characteristics and status information of the data processing device 140a can be realized by storing a server for the data center or a communication management program in the data processing device 140a.

The data processing device 140a periodically measures the state of the surrounding environment and the characteristics and state of the data processing device 140a in order to grasp the latest state, and updates each information. In regular measurement, instead of measuring all values, measure only a part of the values, and when the measured values change more than a certain value, measure other values. Also good. As a result, the number of sensors that are always operating can be reduced, and the power consumption of the data processing device 140a can be reduced.

At this time, it is necessary to select a combination of data that requires constant measurement and items that need not always be measured. The data processing device 140a holds information indicating a combination of items that need constant measurement. For example, regarding the position, speed, and acceleration values, if the speed is measured, the position can be estimated by integrating the speed, and the acceleration can be estimated by differentiating the speed. Information is measured and the position and acceleration are not always measured.

Then, the data processing device 140a notifies the management server 150 of the server ID, IP address, and measurable physical quantity of the surrounding environment state information 1000 grasped in step S102, and the surrounding environment state information template 1100, service requirement 2200, and processing The decision policy information 1300 is requested (S103). The data processing device 140a may notify the management server 150 of the characteristics and status of the data processing device 140a grasped in step S102 in addition to the status of the surrounding environment.

Then, the management server 150 transmits the peripheral environment state information template 1100, the service requirement 2200, and the processing determination policy information 1300 suitable for the peripheral environment state received in step S103 to the data processing device 140a (S104). The value of the surrounding environment state information template 1100 may be created by an administrator or obtained from a website.

In the process determination policy information 1300, the request value and environment standard value fields are blank, and a conditional statement and an action for each process are stored in each of the application process, processing / conversion, transfer, and save items. Conditional statements and actions are entered in advance by the administrator.

Some information of the surrounding environment state information template 1100, for example, disaster frequency and security, may be obtained from a WEB site that is disclosed through the Internet.

Then, the data processing device 140a receives the disaster-related information, security / management system, laws and regulations, infrastructure development status, and surplus resource information of the surrounding environment state information 1000 from the surrounding environment state information template 1100 received in step S104. Is acquired (S105). Specifically, an IP address of the surrounding environment state information 1000 and a row value in which each column of the measurable physical quantity is the same as the condition value of the surrounding environment state information template 1100 is acquired. Each column of the environmental characteristic ID and the estimated value of the acquired row is the environmental characteristic ID of the row in which the server ID of the surrounding environment state information 1000 is its own server ID, and the security / management system, law. Stored in each column of regulation, infrastructure development status, and surplus resource information.

As a result, the data processing device 140a can grasp the information on the security / management system, laws and regulations, infrastructure development status, and surplus resource information that are difficult to measure, and determines the data processing method based on these information. can do.

Then, the data processing device 140a notifies the data processing devices 140b and c of the status information 1000, the server characteristic information 1700, and the communication characteristic information 1500 created in step S105.

The data processing devices 140b and c notify the data processing device 140a of the status information 1000, server characteristic information 1700, and communication characteristic information 1500 of the surrounding environment held by the data processing devices 140b and c (S107).

The data processing apparatus 140a manages the surrounding environment state information 1000, server characteristic information 1700, and communication characteristic information 1500 received in step S107, and manages the surrounding environment state information 1000, server characteristic information 1700, and communication characteristic information 1500. Add to.

Thus, by sharing the state information of the surrounding environment between the data processing devices 140, the data processing device 140a can determine the data processing method based on the information of the other data processing devices 140b and c.

The operations of step S106 and step S107 may be performed periodically, or the data processing apparatus 140 may change the processing method to the state information 1000 of the surrounding environment, the server characteristic information 1700, and the communication characteristic information 1500. You may perform when a change is measured. By updating the surrounding environment state information 1000 and the like in this way, data processing based on the latest information is always possible.

In addition, in the operations in step S106 and step S107, there is a possibility that the communication amount increases and the communication line is compressed because all the data processing devices 140 communicate with each other. Alternatively, the processing load on the data processing device 140 may increase and adversely affect other data processing. Therefore, the data processing device 140 can suppress an increase in communication amount and an increase in processing load by appropriately limiting the data processing devices 140 to which information should be notified.

Here, in order to specify the other data processing device 140 with which the information should be notified, the data processing device 140 specifies the usage and owner of the management attribute whose ServerID of the server characteristic information 1700 is the identifier of its own data processing device. To grasp.

When the usage is exclusive or shared within the same owner, the ServerID of the column with the same owner becomes the data processing device 140 to which the data processing device 140 should notify. In addition, when the usage is sharing between owners, in addition to the ServerIDs of the columns with the same owner, the data processing devices 140 in the vicinity should notify each other from the viewpoint of the network topology. From the viewpoint of the network topology, the data processing device 140 that exists in the vicinity of the data processing device 140 is the data processing device 140 with a small delay from the data processing device 140 in the communication characteristic information 1500.

Then, the data processing device 140a generates processing method information 1900 that is information for determining the data processing method (S108). Here, with reference to FIG. 14, the details of the processing method information generation processing in step S108 will be described.

FIG. 14 is a flowchart for generating processing method information in step S109 of FIG. As illustrated in FIG. 14, first, the service characteristic / determination unit 307 refers to the service requirement 2200 and calculates a request value of the process determination policy information 1300 (S121). The service characteristic / determination unit 307 generates processing determination policy information 1300 by the number of service identifiers described in the service ID of the service requirement, and availability, completeness, confidentiality, and responsiveness for each service ID. The target value and the permissible value are grasped for each of the extensibility and the cost, and added to the target value and the permissible value of the request value of the process determination policy information 1300.

Then, the surrounding environment state generation / determination unit 301 refers to the surrounding environment state information 1000 to calculate the environment reference value of the processing determination policy information 1300. Here, a specific example of the calculation method of the environmental reference value will be described.

The environmental standard value for failure recovery time is calculated as a function of infrastructure recovery time and administrator skills. This corresponds to an infrastructure recovery time that indicates the average time to recovery when a failure occurs in the power infrastructure or communication infrastructure, and an employee when the power cord is disconnected or a device fails This is because it depends on the time until completion. The function for calculating the environmental reference value of the failure recovery time can be calculated by, for example, a simple sum.

The environmental standard value of the operation rate is calculated by dividing the difference between the total time of one year (365 days x 24 hours) and the service stop time of one year by the total time of one year. The service stop time includes a stop time due to a failure caused by physical contact with the data processing device 140, a stop time due to a deterioration failure of the data processing device 140, a stop time due to a disaster, and a stop time due to theft or unexpected accident.

The stop time due to a failure due to physical contact of the data processing device 140 is calculated by the product of the contact failure average time and the contact failure frequency. The contact failure average time is calculated by the manager skill in the same manner as the contact failure recovery time. The frequency of contact failure refers to the attitude of the data processing device 140 indicating the probability of failure due to falling by being placed in an unreasonable posture, the speed and acceleration indicating the failure probability due to a collision, etc., and the probability that the data processing device 140 will fatigue due to vibration. Calculated as the sum of the vibrations shown.

The stop time due to the deterioration failure of the data processing device 140 is calculated by the product of the deterioration failure average time and the deterioration failure frequency. The average degradation failure time is calculated by the manager skill in the same manner as the failure recovery time. The deterioration failure frequency is set to a low value in advance when the installation location is indoors, and is set to a high value when the installation location is outdoors.

Also, whether the data processor 140 is installed indoors or outdoors is determined by the measured position (background / altitude) light intensity, volume, pitch, temperature, humidity, and season. For example, if the measured position (background / altitude) is directly below the equator, the season of the region is summer, and the temperature and humidity of the region show significantly different values, they are installed indoors. It is judged. Further, when the measured sound is a sound that is not the pitch of the server fan or the air conditioning, and the volume is a certain value or more, it may be determined that the sound is installed outdoors. Note that the information on the area necessary for determining the installation location can be input by the administrator of the data processing device 140 at the time of factory shipment or obtained from a website that publishes weather and climate information via the Internet. The frequency of deterioration failure when outdoors is a function of electromagnetic waves, dust, temperature, and humidity, and is calculated by, for example, a simple sum of these.

Disaster downtime is calculated as the product of disaster recovery average time and disaster frequency. The disaster recovery average time is calculated by the administrator skill in the same manner as the disaster recovery time. The damage frequency is a value of the damage frequency in the state information 1000 of the surrounding environment.

The outage time due to theft or unforeseen accident is calculated by the product of the average recovery time during theft / accident and the frequency of theft / accident. The average recovery time for theft / accident is calculated by the administrator skill in the same way as the theft / accident recovery time. Theft / accident frequency is calculated as the simple sum of the product of security and entrance / exit management and the product of portability and administrator ethics. The product of security and entrance / exit management indicates the probability of theft by an outsider, and the product of portability and administrator ethics indicates the probability of the data processing device 140 being lost or stolen by the administrator.

The environmental reference value of the duration is calculated by a function of the power infrastructure, the power infrastructure, and the communication infrastructure in order to indicate the time during which the infrastructure can be operated continuously. For example, it is calculated by multiplying the minimum value of the power infrastructure and the communication infrastructure by a constant.

The environmental standard value of the loss rate is calculated by a simple sum of the theft / accident frequency, the data deterioration failure frequency, and the contact failure frequency.

The environmental standard value of the theft rate is calculated by the theft / accident frequency. That is, it is calculated as a simple sum of the product of security and entrance / exit management and the product of portability and manager ethics.

The environmental standard value of external connectivity indicates a threat that data is hacked in the network 130, and is calculated by the product of security and communication infrastructure. This is because security correlates with the probability that hacking is attempted, and the communications infrastructure correlates with robustness against hacking of the distributed processing system when hacking is attempted.

The environmental standard value taken out of the area is calculated by the product of manager ethics and entrance / exit management. This is because the manager ethics correlates with the high willingness to take out the data processing apparatus 140 to the outside, and the entrance / exit management correlates with the ease of taking out to the outside.

The responsiveness is determined by communication characteristics and server characteristics, and does not depend on the surrounding environment of the data processing device 140, so the environmental reference value is zero.

Since the environmental standard value of scalability is the number of data processing devices 140 that can be additionally installed, it is the minimum value of surplus site area, surplus power, and surplus line bandwidth.

The environmental standard value for air conditioning is calculated based on the attitude and wind direction of the data processing device 140. The maximum value is calculated in the posture where the direction of the exhaust heat of the data processing device and the wind direction are the same, and the minimum value is calculated in the reverse direction at 180 ° C.

The environmental standard value for power generation indicates light intensity when the data processing device 140 generates solar power, and indicates wind power when generating power by wind power generation.

Since the total cost is calculated as the sum of the communication / power cost and the maintenance cost, the environmental standard value of the total cost is blank.

Communication / power costs are calculated as the simple sum of these because they correlate with the power and communication infrastructures. The communication price and power price of the installed area may be obtained from the website.

Maintenance cost is calculated as the product of business trip costs and business trip frequency. The business trip cost is calculated by a function of the position (background / altitude) of the data processing device 140 and the position of the maintenance base. This is because, when the data processing device 140 is installed in a remote area or the like, a business trip cost for maintenance becomes a dominant term. The function is calculated by the product of a simple physical distance or a road or travel time and the unit price of a business trip employee. Since the business trip frequency correlates with the loss rate and the operation rate, these values are used.

Thus, by calculating the maintenance cost from the position information, it is possible to select the data processing device 140 that performs data processing in consideration of the maintenance cost. As a result, maintenance costs can be reduced.

When calculating the environmental reference value, it may be calculated based on the communication characteristic information 1500, the server characteristic information 1700, or the server internal operation status 2300 in addition to the state information 1000 of the surrounding environment. Thereby, in addition to the state of the surrounding environment where the data processing device 140 is installed, it is possible to select the data processing method and the storage location in consideration of the communication status of the network 130, the characteristics and the operating status of the data processing device 140. It becomes.

This completes the description of the method for calculating the environmental reference value in step S122. Returning to FIG. 13, the control arbitration unit 302 calculates processing method information 1900 with reference to the processing determination policy information 1300. Specifically, the conditional statement described in each column of application processing, processing / conversion, transfer, and storage of the processing determination policy information 1300 is referred to, and the required value and the environmental standard value are set in the conditional statement in each evaluation item row. It is determined whether or not the above is satisfied. Then, the application processing, processing / conversion, transfer, and saving actions of the column satisfying the conditional statement in one or more evaluation item rows are all grasped.

The control arbitration unit 302 stores its own data processing identifier in the server ID column 1901 of the processing method information 1900, and stores the service identifier grasped in step S121 in the service ID column 1902. Further, the recognized application processing, processing / conversion, transfer, and saving actions are stored in the application processing column 1903, the processing / conversion column 1904, the transfer column 1905, and the storage column 1906 of the processing method information 1900. The details of step S108 in FIG. 13 have been described above.

Returning to FIG. 13, the data processing device 140a deletes the portion of the processing method information in which the action is MAY from the processing method information 1900 generated in step S108, and transmits it to the

data processing devices

140b and 140c.

The

data processing devices

140b and 140c determine whether the processing included in the processing method information notified in step S109 is possible (S110). Specifically, the control arbitration unit 302 of each data processing device 140 receives the service ID of the row in which the server ID of the processing method information 1900 received in step S109 is the identifier of its own data processing device, application processing, and processing. The action of each column of conversion, transfer, and storage is grasped, the identifier of the own data processing device 140 is stored in the server ID column 2102 of the processing supportability information 2100, and the grasped service ID is stored in the service ID column 2102 .

Further, the control arbitration unit 302, for the grasped action, out of the processing method information 1900 managed by itself, the server ID corresponds to the identifier of its own data processing device 140 and the service ID is grasped in this step. Is included in the line. Then, “possible” indicating that correspondence is possible is stored in the added row of the processing availability information 2100 and the column including the action is stored, and “impossible” indicating that it is not possible to correspond to the column not included. Is stored.

Then, the

data processing devices

140b and 140c transmit processing supportability information 2100 to the data processing device 140a (S111).

In step S110 and step S111, if all the data processing devices 140 mutually notify other data processing devices 140, there is a possibility that the communication amount increases and the communication line is compressed. In addition, the processing load on the data processing device 140 may increase and adversely affect other data processing. Therefore, the data processing device 140 may limit the data processing device 140 to which the above information should be notified to a specific data processing device. For example, it may be limited to the data processing device described in the server ID of the processing method information 1900.

Then, the data processing device 140a refers to the process availability information 2100 received in step S111 and updates the determination process information (S112). Specifically, in the process availability information 2100, the server ID and service ID of the row where “impossible” is stored, and the process item in the same column are grasped, and in the process decision policy information 1300 corresponding to the service ID, Except for the action that is “impossible” of the grasped server ID, the processing of steps S108 to S111 is performed again for the action portion. After being repeatedly executed a plurality of times, if “not possible” is notified in step S111, the data processing device 140a notifies the management server 150 that processing is impossible.

Then, the data processing device 140a notifies the management server 150 of the processing method information 1900 (S112). In step S112, if the processing method information 1900 is notified each time, the communication amount may become enormous or the processing load on the management server 150 may be compressed. Therefore, the processing method information 1900 is periodically and collectively notified. You may make it do.

In the foregoing, the flow of a series of operations when the data processing apparatus is installed has been described. Next, a specific example of the operation when the data processing apparatus is installed will be described.

First, when the power supply to the data processing device 140a is stopped due to a power failure or the like, which will be described later, the data processing device 140a stops the internal components and continues operation with the emergency power source 506. An operation for extending the operable time will be described. At this time, it is possible to grasp the constituent devices inside the data processing device 140a to be stopped from the average blackout time and prevent the data processing device 140a from completely stopping.

In step S108 of FIG. 13, the data processing device 140a refers to the infrastructure recovery time in the status information 1000 of the surrounding environment, grasps the time until recovery when the infrastructure such as a power failure stops, and the server internal operation status The amount of surplus power that is not used is grasped from the maximum capacity and usage rate of the 2300 emergency power supply line. Furthermore, the data processing device 140a calculates the total value of the power consumption column for a certain combination of components in the data processing device 140a, and calculates a value obtained by dividing the surplus power amount by the total power consumption amount. This is grasped as the continuous time. This is grasped for a combination of a plurality of component devices, and the continuable time is calculated. This continuable time is a time during which the data processing device 140a can continue to operate with surplus power from the emergency power supply 506 after a power failure occurs. Note that by dividing the surplus power amount by the value obtained by subtracting the power generation amount by the power generation device 516 from the total power consumption value, it is possible to calculate the continuable time when the power generation amount is also taken into consideration.

As a result, the power supply to the data processing device 140-1 is stopped due to a power failure or the like, which will be described later, and the data processing device 140-1 stops the internal components and can continue operation with the emergency power supply 506. In the extending operation, it becomes possible to grasp the constituent devices inside the data processing device 140a to be stopped from the average power failure time, and it is possible to prevent the data processing device 140-1 from being completely stopped.

Next, when the data processing device 140a is mounted on an automobile, construction equipment, or the like, the data processing device 140-1 vibrates, or when the data processing device 140-1 is mounted outdoors, the data processing device 140-1 is installed. -1 explains the case of dust. In this case, in order to reduce the risk of losing stored data due to damage to the external storage device 502 of the data processing device 140a, the data processing device 140a that constantly detects vibration and dust performs arithmetic processing, An operation in which the calculation processing result is transmitted to the data processing device 140b in which vibration or dust is not detected and the data processing device 140b stores the data will be described.

In step S102, the data processing device 140a measures vibration and dust as state measurement processing of the surrounding environment, and stores it in the state information 1000 of the surrounding environment. In step S103, the data processing device 140a notifies the management server 150 of the status information 1000 of the surrounding environment.

In step S104, the management server 150 sends the processing determination policy information 1300. In the processing determination policy information 1300, if the environmental reference value exceeds the allowable value in the row of the loss rate of each column of storage ( Condition statement), the data storage unit 385 stores the content of transferring (action) to another data processing device without storing the data. In addition, if the environmental standard value exceeds the shared value (condition) in the row of the loss rate in the transfer column, it is stored as transferred to the data processing device with the smallest communication delay (action), and the vibration row is also stored. Store similar conditions and actions.

Then, after the data processing device 140a executes the processing from step S105 to step S107, in step S122 of step S108, the data processing device 140a determines the environmental reference value of the loss rate, the above-mentioned theft / accident frequency, and data degradation. Calculate with the simple sum of failure frequency and contact failure frequency. For example, the data deterioration failure frequency is calculated to be proportional to the vibration, and the deterioration failure frequency is calculated to be proportional to the dust.

In this way, the data processing device 140a that detects large vibrations and a large amount of dust performs arithmetic processing, transmits the calculation processing results to the data processing device 140b in which vibration and dust are not detected, and the data processing device 140b transmits the data. save. Thereby, when the external storage device 502 of the data processing device 140a is damaged, it is possible to reduce a risk of losing data stored in the data processing device 140a.

Next, the case where the data analysis location is determined in consideration of the theft risk of the data processing device 140 will be described. For example, it is assumed that the data processing device 140a is installed outdoors in an area with poor security. In this case, it is necessary to reduce the risk that the data processing device 140a is stolen and the data stored in the external storage device 502 of the data processing device 140a is leaked. The operation in this case is the same as the operation in the case where data is lost due to the vibration or dust described above, except for the following points.

The data processing device 140 refers to the value indicating the security of the state information 1000 of the surrounding environment, determines the security of the installation location, and depends on the position (background / altitude) luminous intensity, volume, pitch, temperature, humidity, and season. Determine whether the installation location is indoor or outdoor. The data processing device 140 calculates the theft rate based on information indicating safety and indoor / outdoor. The indoor / outdoor determination method and the theft rate are calculated by the processing of FIG. As described above, when the data processing device 140a is installed outdoors in an area with poor security, the data is stored in the data processing device 140 other than the data processing device 140a instead of the external storage device 502 of the data processing device 140a. . As a result, the risk of data leakage can be reduced.

Next, a case where the terminal 170 generates data and uploads it to the data processing device 140 will be described with reference to FIG.

First, the terminal 170a generates data (S201). The data generated in step S201 includes sensor measurement values and images.

Then, the terminal 170a transmits the data generated in step S201 to the data processing device 140a (S202).

Then, the data processing device 140a grasps the service ID by referring to the header information such as TCP or HTTP of the data received in step S202, and the server ID of the processing method information 1900 is the identifier of its own data processing device, Of the actions described in the line corresponding to the service ID ascertained by the service ID, the action that is MUST or SHOULD be executed (S203).

Then, the data processing device 140a transfers the data and requests data processing from the other

data processing device

140b or 140c (S204).

Then, the

data processing device

140b or 140c to which the data has been transferred in step S204 refers to the header information such as TCP or HTTP of the received data to grasp the service ID, and the server ID of the processing method information 1900 is its own data. Among the actions described in the line that is the identifier of the processing device and the service ID that is grasped by the service ID, the action that is MUST or SHOULD be executed (S205).

The

data processing device

140b or 140c transmits the processing result of the data processing executed in step S205 to the data processing device 140a (S206). Then, the data processing device 140a stores the processing result received in step S206 (S207). Then, the data processing device 140a transmits a processing completion notification to the terminal 170a (S208). The processing completion notification from the data processing device 140a to the terminal 170a may be transmitted before and after step S203.

Next, a case where the terminal 170 refers to data stored in the data processing device 140 will be described with reference to FIG.

First, the terminal 170a requests data to be referred to the data processing device 140a (S211). Then, the data processing device 140a confirms whether or not the data requested in step S211 is held, and if so, proceeds to step S216 and transmits reference data to the terminal 170a (S216). If not, check where the data is stored. The location where the data is stored can be grasped by the name resolution function that associates the data name with the identifier of the data processing device in which the data is stored. Even if each data processing device 140 has the name resolution function, the representative data processing device 140 or the management server 150 has a data name and data stored by each data processing device 140 by processing such as data lookup. The identifier of the data processing apparatus to be processed may be inquired.

The data processing device 140a transmits a data request to the data processing device 140b or the data processing device 140c ascertained by the name resolution function (S213). The data request in step S213 includes the data name.

Then, the data processing device 140b or the data processing device 140c that has received the data request in step S213 refers to the requested data. Then, the data processing device 140b or the data processing device 140c transmits the data acquired in step S214 to the data processing device 140a (S215).

Then, the data processing device 140a transmits the data received in step S215 to the terminal 170a (S216).

(1-6) Effects of the Present Embodiment As described above, according to the present embodiment, the data processing device 140 performs data processing on application programs required when the data generated by the terminal 170 is processed. When storing in the device 140, by determining the processing contents in the data processing device based on information such as the image, vibration, sound, dust, etc. of the surrounding environment of the data processing device, and by deploying necessary applications and data An environment for executing data processing suitable for the state of the surrounding environment where the data processing apparatus is installed can be constructed.

(2) Second Embodiment (2-1) Hardware Configuration of Information Processing System Next, a second embodiment will be described. Hereinafter, a configuration different from that of the second embodiment will be described in detail, and detailed description of the same configuration will be omitted. This embodiment has the same configuration as the hardware configuration of the information processing system of the first embodiment. Further, the present embodiment is different from the first embodiment in that the data processing device 140 detects a change in the state of the surrounding environment and changes the data processing method, storage location, and the like.

The operation at the time of installing the data processing apparatus 140 is almost the same as that of the first embodiment. However, in step S104 in FIG. 13, the management server 150 performs processing determination policy information 1300, state information template 1100 of the surrounding environment, and service requirements 2200. In addition, the processing decision policy information 1400 when the state of the surrounding environment changes, which will be described later, is transmitted to the data processing device 140a.

The operation when the terminal 170 generates data is almost the same as that in the first embodiment, but the data processing device 140 determines the data processing method in steps S203, S205, and S207 in FIG. In this case, instead of making a determination with reference to the processing method information 1900, the determination is made with reference to the processing method information 2600 when the state of the surrounding environment changes, which will be described later.

The operation when the terminal 170 refers to the data is almost the same as that in the first embodiment. However, in steps S212 and S214 in FIG. However, instead of making the determination with reference to the processing method information 1900, the determination is made with reference to the processing method information 2600 when the surrounding environment changes, which will be described later.

In the present embodiment, the overall configuration of the information processing system, the physical configuration of the data processing device, and the logical configuration of the data processing device are the same as those in the first embodiment. However, in the present embodiment, the surrounding environment state information storage unit 351 constituting the control data storage unit 350 of the data processing device 140 includes the processing determination policy information 1400 when the surrounding environment state changes, and the surrounding environment state change. The processing method information 2600 at the time and the server behavior information 2700 at the time of the state change of the surrounding environment are different.

Hereinafter, processing determination policy information 1400 at the time of change in the state of the surrounding environment, processing method information 2600 at the time of change in the state of the surrounding environment, and server behavior information 2700 at the time of change in the state of the surrounding environment held by the surrounding environment state information storage unit 351 Will be described.

FIG. 17 is a chart showing an example of the processing determination policy information 1400 when the state of the surrounding environment changes. The processing determination policy information 1400 when the state of the surrounding environment changes is used to determine the behavior method when the data processing device 140 changes the state of the surrounding environment. As shown in FIG. 17, the process determination policy information 1400 when the state of the surrounding environment changes includes a classification column 1401, an evaluation item column 1402, a variation value column 103, a variation threshold column 1404, and a behavior method column 1405.

When determining the data processing method, the data processing device 140 corresponds to a row in the processing determination policy information 1400 at the time of the change in the state of the surrounding environment in which the fluctuation value indicating the change in the state of the surrounding environment exceeds the fluctuation threshold. The behavior method of the data processing device 140 is determined with reference to the conditional statements and actions described in the behavior method column.

The fluctuation threshold value and behavior method of the processing judgment policy information 1400 when the state of the surrounding environment changes are input by the administrator of the data processing device 140 at the time of factory shipment and managed by the management server 150. Then, when the data processing device 140 is installed, the data is transmitted from the management server 150 to the data processing device 140a in step S104.

The classification column 1401 stores measurable physical quantities and communication characteristics. The measurable physical quantity is obtained by adding a button to each item of the measurable physical quantity in the state information 1000 of the surrounding environment. The button indicates ON / OFF of a button or switch provided in the data processing device 140.

The communication characteristics indicate the communication characteristics of the network 130 or the network connecting the data processing device 140 and the terminal 170. Communication characteristics are classified into three types: UPLINK disconnection, DOWN link disconnection, UPLINK congestion, DOWNLINK congestion, and address change. The UPLINK disconnection indicates that a communication failure or the like has occurred in the network 130 and the data processing device 140 can no longer communicate with other data processing devices 140. UPLINK congestion indicates that the communication quality between the data processing apparatuses 140 has deteriorated, and specifically indicates that the communication delay has increased or the bandwidth has decreased. UPLINK disconnection and UPLINK congestion can be detected between data processing devices 140 by Ping or the like. The DOWN link disconnection indicates that a communication failure or the like has occurred in the network 130 connecting the data processing device 140 and the terminal 170, and the data processing device 140 cannot communicate with the terminal 170. UPLINK congestion indicates that the communication quality between the data processing device 140 and the terminal 170 has deteriorated, specifically, the communication delay has increased or the bandwidth has decreased. The address change indicates that the addresses of the data processing devices 140-2 to 140-n have been changed.

The fluctuation value column 1403 stores the amount of change of each value of the evaluation item from a certain time ago. The fluctuation threshold value column 1404 stores a threshold value for determining whether or not the change of the fluctuation value is significant, and is set by the administrator in consideration of the service requirement 2200 before shipping the data processing apparatus 140 to the factory. The

The behavior method column 1405 includes security ensuring, data duplication, transfer, data storage, device activation, posture change, sound generation, lighting, measurement, power generation, heat generation / heat removal, and the like. Each column of the behavior method stores a conditional statement for determining whether to execute each process and an action when the condition is satisfied. The behavior method is set by the administrator in consideration of the service requirement 2200 before the data processing apparatus 140 is shipped from the factory.

Securing security is an operation to ensure security, including data lock, encryption, and enhanced authentication.

Data lock indicates that the terminal 170 or another data processing device 140 rejects the reference when requesting the data reference. Thereby, when the data processing apparatus 140 is physically stolen, the risk that the data stored in the data storage unit 385 of the data processing apparatus 140 leaks can be reduced.

Encryption refers to an operation of encrypting information stored in the data storage unit 385 of the data processing device 140 or increasing the level of encryption. As a result, it is possible to reduce the load on the arithmetic processing unit of the data processing device and reduce the processing delay by keeping the encryption with a low processing load during normal times, and the data storage unit of the data processing device 140 even when stolen The risk that the data stored in 385 leaks can be reduced.

“Authentication enhancement” indicates that the authentication level required from the terminal 170 when the terminal 170 requests data reference is increased. As a result, similarly to the effect of encryption, it is possible to reduce the load on the electronic residual processing device during normal operation, reduce the processing delay, and reduce the risk of data leakage during theft.

Data replication is an operation to increase service availability, and includes data replication and deletion. The duplication means that the data processing device 140 duplicates data stored in the external storage device 502 to another external storage device 502 in its own data processing device 140 or is external to another data processing device 140. It indicates that the data is copied to the storage device 502. Deletion refers to an operation of deleting replicated data.

“Transfer” indicates an operation of transferring data received from the terminal 170 or the data processing device 140 to another data processing device 140 for the purpose of data processing proxy or data replication. The transfer includes a transfer destination, a priority, and a route / line type. Each item is the same as the transfer item of the process determination policy information 1300.

Data storage includes storage and deletion. Saving indicates saving the data held by the data processing device 140, and deleting indicates deleting the data.

The device activation indicates that the physical device inside the data processing device 140 is activated or stopped in order to reduce power consumption, and includes activation and deactivation. The start indicates that the physical device of the data processing device is started, and the stop indicates that the physical device is stopped.

The attitude change indicates an operation for the data processing device 140 to change the movement or attitude, and includes movement and rotation. The movement indicates that the data processing device 140 moves forward or backward, and the rotation indicates that the data processing device 140 rotates.

The pronunciation indicates an operation for generating an alarm sound or sound for the data processing device 140 to transmit an alarm to the surroundings or to communicate with an administrator or a user of the data processing device 140.

“Lighting” indicates an operation of lighting a lamp to notify the administrator or user of the data processing device 140 that the data processing device 140 has changed the processing method in accordance with a change in the state of its surrounding environment.

Measurement indicates an operation in which the measurement unit 391 of the data processing device 140 performs measurement using the sensor 511 that is normally stopped in order to grasp the details of the state information of the surrounding environment.

“Power generation” indicates an operation of generating power by operating the power generation device 516 when the remaining amount of the emergency power source 506 of the data processing device 140 decreases or when the supplied power is stopped.

Heat generation / heat removal indicates an operation of generating heat or removing heat in order to keep the internal temperature in an appropriate temperature range when the internal temperature of the data processing device 140 approaches a threshold value indicating an appropriate temperature range.

FIG. 18 is a chart showing an example of processing method information 2600 when the state of the surrounding environment changes. The processing method information 2600 when the state of the surrounding environment changes is managed for each data processing device 140 and manages the method for processing the data received by the data processing device 140. As shown in FIG. 18, the processing method information 2600 when the state of the surrounding environment changes includes a server ID field 2601, a service ID field 2602, a security ensuring field 2603, a data replication field 2604, a transfer field 2605, and a data storage field 2606. Is done.

The server ID column 2601 stores service identifiers. The service ID column 2602 stores service identifiers. The items of the security ensuring column 2603, the data replication column 2604, the transfer column 2605, and the data storage column 2606 are the same as the security assurance, data replication, transfer, and data storage of the processing determination policy information 1400 when the state of the surrounding environment changes, respectively. The value of is stored. The value stored in each column is an action defined in the processing determination policy information 1400 when the state of the surrounding environment changes.

FIG. 19 is a chart showing an example of the server behavior information 2700 when the state of the surrounding environment changes. The server behavior information 2700 at the time of a change in the state of the surrounding environment is managed for each data processing device 140, and manages a method for processing data received by the data processing device 140. As shown in FIG. 19, the server behavior information 2700 at the time of a change in the state of the surrounding environment includes a server ID column 2701, a service ID column 2702, an apparatus activation column 2703, an attitude change column 2704, a sound generation column 2705, a lighting column 2706, and a measurement column. 2707, a power generation column 2708, and a heat generation / heat removal column 2709.

In the server ID column 2701, service identifiers are stored. The service ID column 2702 stores service identifiers. In the columns of the posture change column 2704, the sound generation column 2705, the lighting column 2706, the measurement column 2707, the power generation column 2708, and the heat generation / heat removal column 2709, the apparatus activation of the processing judgment policy information 1400 when the surrounding environment changes state Information similar to posture change, sound generation, lighting, measurement, power generation, heat generation / heat removal is stored. The information stored in each column is an action defined in the processing determination policy information 1400 when the state of the surrounding environment changes.

(2-2) Details of Operation of Data Processing Device FIG. 20 is a sequence diagram showing the operation when the data processing device is installed in the present embodiment. First, a flow of a series of operations when the data processing device 140 is installed will be described, and then a specific example of this operation will be described.

Since step S301 and step S302 are the same processing as step S101 and step S102 of FIG. 13 of the first embodiment, respectively, description thereof will be omitted.

In step S103, the data processing device 140a notifies the management server 150 of the server ID, IP address, and measurable physical quantity of the surrounding environment state information 1000 grasped in step S302, and the surrounding environment state information template 1100, service The requirement 2200, the processing determination policy information 1300, and the processing determination policy information 1400 when the surrounding environment changes are requested. Note that the data processing device 140a may notify the management server 150 of the characteristics and status of the data processing device 140a grasped in the sequence 4020 in addition to the status of the surrounding environment.

Then, the management server 150, the surrounding environment state information template 1100 suitable for the surrounding environment state information 1000 received in step S303, the service requirement 2200, the processing judgment policy information 1300, and the processing judgment policy information when the surrounding environment state changes 1400 is transmitted to the data processing device 140a. In the process determination policy information 1300, the request value and the environment reference value are blank, and a conditional statement and an action are included in each item of application process, processing / conversion, transfer, and storage. Conditional statements and actions are set in advance by the administrator.

In the processing judgment policy information 1400 when the state of the surrounding environment changes, the variation value is blank, the value is stored in the variation threshold, and the conditional statement and action are stored in the behavior method. Conditional statements and actions are set in advance by the administrator. As in the first embodiment, some information of the surrounding environment state information template 1100 may be created by acquiring information from a public WEB site.

Since the process in step S305 is the same as the process in step S105 in FIG. 13 of the first embodiment, a description thereof will be omitted. With the above processing, the operation at the time of installation ends, and the operation shown in FIG. 16 when the terminal 170 of the first embodiment refers to data and the operation of FIG. 15 when the terminal 170 generates data are started. The Hereinafter, an operation when the data processing device 140a detects a change in the state of the surrounding environment will be described.

In step S306, the data processing device 5520 detects a change in the state of the surrounding environment. Specifically, the measurement unit 391 of the data processing device 140a periodically measures a part of the measurable physical quantity of the state information 1000 of the surrounding environment by the sensor 511. In addition, the surrounding environment state generation / determination unit 301 calculates a difference from a part of the measurable physical quantity before a certain time, and uses the difference to change the processing determination policy information 1400 when the surrounding environment changes. Insert into value. The surrounding environment state generation / determination unit 301 detects that the fluctuation value exceeds the fluctuation threshold in any one or more lines. If a change in the state of the surrounding environment is detected, the process proceeds to step S307. If not detected, step S306 is performed again after a predetermined time.

Then, the data processing device 5520 measures the state of the surrounding environment in detail (S307). Specifically, the measurement unit 391 of the data processing device 140a measures all or a part of the measurable physical quantity of the state information 1000 of the surrounding environment that has not been measured in step S306. Then, the surrounding environment state generation / determination unit 301 calculates a difference from a part of the measurable physical quantity before a certain time, and uses the difference to change the processing determination policy information 1400 when the surrounding environment changes. Insert into value. The surrounding environment state generation / determination unit 301 detects that the fluctuation value exceeds the fluctuation threshold in any one or more lines.

Thus, it is not necessary to measure all the measurable physical quantities by all the sensors 511, and the power consumption can be reduced by setting the measurement cycle of the measurable physical quantities that are not always measured to be long. That is, the data processing device 140 can achieve both accurate determination by detailed measurement of state changes in the surrounding environment and power consumption reduction. If it is necessary for the data processing device 140 to change the processing content promptly, all the measurable physical quantities may be measured in step S306 without executing the processing in step S307.

Then, the data processing device 140a notifies the management server 150 of the change in the state of the surrounding environment detected in steps S305 and S306. Note that step S305 and step S306 may be omitted.

Then, the data processing device 140a generates processing method information 2600 when the environment changes and server behavior information 2700 when the environment changes, which is information for determining the data processing method (S309). Details of the processing in step S309 will be described with reference to FIG.

FIG. 21 is a flowchart for generating processing method information in step S309 of FIG. As shown in FIG. 21, first, the control arbitration unit 302 refers to the service ID having a high processing priority and the processing determination policy information 1400 when the state of the surrounding environment corresponding to the service ID changes. Processing method information 2600 at the time of state change is calculated (S321). Specifically, the control arbitration unit 302 refers to the conditional statement stored in each column of the information behavior method of the process determination policy information 1400 when the state of the surrounding environment changes, and changes the fluctuation value in the row of each evaluation item. It is determined whether the variation threshold satisfies the conditional statement. Then, the control arbitration unit 302 grasps all actions that satisfy the conditional statement.

The control arbitration unit 302 stores its own data processing identifier in the server ID column 2601 of the processing method information 2600 when the state of the surrounding environment changes, and stores the service identifier grasped above in the service ID column 2602. Also, actions for ensuring security, data duplication, transfer, and data storage are added to the security ensuring column 2603, data replication column 2604, transfer column 2605, and data storage column 2606 of the processing method information 2600 when the state of the surrounding environment changes. To do.

Then, the control arbitration unit 302 determines whether the constituent devices of the data processing device 140 are operating or stopped (S322). Specifically, the control arbitration unit 302 stores its own data processing identifier in the server ID column 2701 of the processing method 2700 when the surrounding environment changes, and adds the service identifier grasped in step S321 to the service ID column 2702. , Device start-up, posture change, sound generation, lighting, measurement, power generation, heat generation / heat removal of server behavior information 2700 at the time of state change of surrounding environment, device start-up, posture change, sounding, lighting, measurement, power generation, heat generation -Add heat removal action.

Note that the device activation action directly affects data processing such as data processing, data processing control, data storage, and communication, and the like. Arithmetic processing device 501, external storage device 502, internal storage device 503, communication switching device 504 When the wireless transmission / reception device 507 is stopped, refer to whether or not the server operating status 2300 can be stopped. If each device cannot be stopped, it is determined that the device is not stopped. If the device can be stopped, the service ID indicated in the service that is affected at the time of stop is further grasped, and the service requirement 2200 corresponding to the service ID is referred to. . As a result of referring to the service requirement 2200, even when each device is stopped, it is determined that the device is stopped if the maximum allowable value of the service requirement is satisfied.

In addition, when stopping the device activation of the server behavior information 2700 when the state of the surrounding environment changes, the infrastructure recovery time of the surrounding environment state information 1000 may be described instead of the identifier of the component device to be stopped. In that case, the control arbitration unit 302 calculates an unused surplus power amount (surplus power amount = maximum capacity × (1−usage rate)) from the maximum capacity and usage rate of the emergency power supply in the server internal operation status 2300, The component device to be stopped is selected so that the product of the total power consumption of the component devices to be stopped and the infrastructure recovery time is smaller than the surplus power amount. Thereby, the data processing device 140 can prevent the surplus power of the emergency power supply included in the data processing device 140 from being used up until the supply power is stopped and the power is restored.

Then, the control arbitration unit 302 determines whether or not the processing of step S321 and step S322 has been performed on all service IDs (S323). If it is determined in step S323 that implementation has been completed for all service IDs, the control arbitration unit 302 ends the process. On the other hand, when it is determined that the implementation has not been completed for all the service IDs, the control arbitration unit 302 repeats the processes after step S321. The details of step S309 in FIG. 20 have been described above.

Referring back to FIG. 20, the data processing device 140a transmits the processing method information 2600 at the time of environment change generated in step S309 to the

data processing devices

140b and 140c (S310).

In step S310, the data processing device 140a may transmit a variation value of the processing determination policy information 1400 when the state information of the surrounding environment changes. By transmitting the fluctuation value, the

data processing devices

140b and 140c can grasp the state change of the surrounding environment of the data processing device 140a, and the data processing method and the server behavior method in consideration of the information of the data processing device 140a. Can be judged.

Then, the

data processing devices

140b and 140c determine whether or not the processing notified in step S310 is possible (S311). The method for determining whether processing is possible in step S311 is the same as step S110 in FIG. 13 of the first embodiment, and a description thereof is omitted. Instead of the processing method information 1900, processing method information 2600 when the state of the surrounding environment changes may be used.

Then, the

data processing devices

140b and 140c transmit the information indicating whether or not the processing request can be handled generated in step S311 to the data processing device 140a (S312).

Note that, in the operations of step S310 and step S312, if all the data processing devices 140 notify each other, the communication amount may increase and the communication line may be compressed. In addition, the processing load on the data processing device 140 may increase and adversely affect other data processing. Therefore, the data processing device 140 may limit the data processing device 140 to which the above information should be notified to a specific data processing device. For example, you may limit to the data processing apparatus described in server ID of the processing method information 2600 at the time of the surrounding environment state change.

Then, the data processing device 140a updates the processing method information 2600 when the state of the surrounding environment changes with reference to the processing availability determination information received in step S312 (S313). The updating method in step S313 is the same as that in step S112 in FIG. 13 of the first embodiment, and a description thereof will be omitted. Further, along with the update of the processing method information 2600, the server behavior information 2700 when the state of the surrounding environment changes may be updated.

Then, the data processing device 140a executes data processing according to the processing method information 2600 updated in step S313 (S314). Further, the server behavior method 2700 is changed with reference to the server behavior information 2700 when the state of the surrounding environment changes.

Then, the data processing device 140a notifies the

data processing device

140b or 140c of the data processing request (S315). The

data processing device

140b or 140c notified of the data processing request in step S315 executes data processing (S316). Specifically, the data processing device 140b or 40c executes the action determined in step S311 to be compatible in the processing method information 2600 at the time of the change in the state of the surrounding environment received in step S315.

The

data processing devices

140b and 140c notify the data processing device 140a of the processing result (S317). Then, the data processing device 140a notifies the management server 150 of processing method information 2600 when the state of the surrounding environment changes (S318).

In the foregoing, the flow of a series of operations when the data processing device is installed in the present embodiment has been described. Next, a specific example of the operation when the state of the surrounding environment changes will be described.

First, when the power supply to the data processing device 140a is stopped due to a power failure or the like, and the data processing device 140a continues to operate with the emergency power source 506, the operation for extending the operable time of the data processing device 140a. explain. At this time, the data processing device 140a stops most of the devices other than the internal communication switching device 504 and requests the other data processing device 140 to perform data processing.

20, it is assumed that the data processing apparatus 140a detects that the fluctuation value is below the fluctuation threshold for the row where the evaluation item is power in step S306 of FIG. In step S308, the data processing device 140a notifies the management server 150 that the power has fallen below the variation threshold.

In step S309, the data processing device 140a determines to stop the application processing performed by the data processing device 140a and transfer the data received from the terminal 170 to the other

data processing device

140b or 140c.

In step S310, the

data processing device

140b or 140c is requested to stop the application processing.

When the data processing apparatus 140a receives a notification from the other data processing apparatus 140 that processing is possible in step S312, the data processing apparatus 140a stops application processing and starts transfer in step S314. In addition, the arithmetic processing unit 501, the external storage unit 502, the internal storage unit 503, the sensor 511, the speaker 513, and the driving unit 514 of the data processing unit 140a are stopped within a range that is not affected. The presence / absence of the influence is determined from whether or not the server internal operation status 2300 can be stopped, the influence data processing unit at the time of stop, and the influence service at the time of stop.

By referring to the power consumption of the device to be stopped, it is possible to grasp the time during which the data processing device 140a can continue processing based on the amount of power stored in the emergency power source 506. As a result, the data processing device 140a can select the component device to be operated according to the continuable time. In addition, the management server 150, the terminal 170, and the

data processing device

140b or 140c can be notified before it cannot be continued.

By the above operation, when the power supplied to the data processing device 140a is stopped, the other data processing device 140 performs the data processing performed by the data processing device 140a. Then, by stopping the components inside the data processing device 140a, the data processing device 140a can continue to operate for a long time with the limited emergency power source 506.

Next, an operation for minimizing the amount of data that flows out and the amount of data that is lost when the data processing device 140a is stolen will be described. When the data processing device 140 a detects an unexpected movement, the data processing device 140 a rejects data reference from the terminal 170 and transfers received data to another data processing device 140. Further, it requests the other data processing device 140 to stop the transfer of data to the data processing device 140a.

In step S306, it is assumed that the data processing device 140a detects that the fluctuation value exceeds the fluctuation threshold for the row whose evaluation item is the position.

In step S307, the data processing device 140a additionally measures the speed, posture, figure / obstacle, volume, pitch, and vibration, and determines whether these fluctuation values exceed the fluctuation threshold. Here, the fluctuation threshold values of speed, posture, volume, pitch, and vibration are values for determining whether or not there are changes in the state of the surrounding environment at a plurality of locations that have been conventionally installed during normal operation. A human figure / obstacle is determined by image processing to determine whether it is a human figure or obstacle photographed during normal operation. If it is not a human figure or obstacle photographed during normal operation, it is determined that the fluctuation value has been exceeded. For example, if the number of items exceeding the variation threshold is equal to or greater than a certain number, it is determined that the data processing device 140a has been stolen, and the process proceeds to step S308. On the other hand, if it is determined that the data processing device 140a is not stolen, the process returns to step S306.

In step S308, the data processing device 140a notifies the management server 150 that the data processing device 140a has been stolen. In step S309, the data processing device 140a rejects the data reference from the terminal 170 and transfers the received data to the other data processing device 140. Furthermore, the data processing device 140a determines whether another data processing device 140 is requested to stop data transfer to the data processing device 140a.

In step S310, the data processing device 140a requests the

data processing device

140b or 140c to perform data processing performed by the data processing device 140a. In addition, a request for stopping transmission / transfer of data to the data processing device 140a is transmitted.

In step S312, when the data processing device 140a receives a notification from the

data processing device

140b or 140c that processing is possible, the processing method when the state of the surrounding environment changes is changed in step S313, and processing is performed in step S318. The management server 150 is notified of the method change.

In the following, the subsequent operations of the terminal 170 referring to the data and the operation when generating the data will be described.

First, the operation when the terminal 170 generates data will be described. In step S202 of FIG. 15, the terminal 170a transmits the data generated in step S201 to the data processing device 140a.

In step S203, the data processing device 140a transfers the received data to the

data processing device

140b or 140c. In step S205, the

data processing device

140b or 140c performs the data processing of the data processing device 140a.

The

data processing device

140b or 140c normally notifies the processing result to the data processing device 140a in step S206, but has received a request to stop transmission / transfer of data to the data processing device 140a in step S310. In step S208, the processing completion notification is directly notified to the terminal 170 without transmitting the processing result to the data processing device 140a. At that time, since the terminal 170 is transmitting data to the IP address of the data processing device 140a, the communication path switching unit 370 of the

data processing device

140b or 140c sets the transmission source IP address of the processing completion notification to the data processing device. The IP address is changed to 140a and transmitted.

Next, the operation when the terminal 170 refers to data will be described. In step S211 of FIG. 16, the terminal 170a transmits a data request to the data processing device 140a.

In step S212, the data processing device 140a does not refer to the data and proceeds to step S231, and transfers the received data request to the data processing device 140b.

In step S214, the data processing device 140b performs data processing. When the data processing device 140b does not hold the requested data, the data processing device 140c requests the data. Further, when the data processing device 140b also does not hold data, the data processing device 140a may be requested to receive data and receive data from the data processing device 140a. Alternatively, the terminal 170a may be notified that the data cannot be referred to without requesting data to the data processing device 140a. Since the data processing device 140b has received a request to stop transmission / transfer of data to the data processing device 140a in step S310, the data processing device 140b transmits the processing result directly to the terminal 170a without transmitting it to the data processing device 140a. At that time, since the terminal 170a is transmitting data to the IP address of the data processing device 140a, the communication path switching unit 370 of the data processing device 140b sets the transmission source IP address of the processing completion notification to the IP of the data processing device 140a. Change to address and send. The change of the IP address is the same as the operation at the time of data generation.

As described above, when the data processing device 140 a detects an unexpected movement, the data reference from the terminal 170 is rejected and the received data is transferred to another data processing device 140. Furthermore, when the data processing device 140a is stolen by sending a request to the other data processing device 140 to stop the transfer of data to the data processing device 140a, the amount of data that will be leaked and the amount of data that will be lost. It is possible to keep it to a minimum.

(2-3) Effects of this Embodiment As described above, according to this embodiment, status information of the surrounding environment where the data processing device 140 is installed is generated, and each data is transmitted between the data processing devices 140. By notifying the status information of the peripheral environment of the processing device and / or the request for processing contents, the data of each data processing device is considered in consideration of the peripheral environment of the plurality of data processing devices and the change thereof. Determine processing contents and storage location. Accordingly, it is possible to perform appropriate data processing and data storage in a data processing apparatus suitable for each data.

DESCRIPTION OF SYMBOLS 130 Network 140 Data processing apparatus 150 Management server 160 Access point 170 Terminal 300 Data processing control part 301 Peripheral environment state production | generation judgment part 302 Control arbitration part 303 Communication control part 304 Execution base control part 305 Terminal control part 306 Storage control part 307 Service Characteristic generation / determination unit 350 Control data storage unit 351 Ambient environment state information storage unit 352 Communication characteristic information storage unit 353 Terminal characteristic information storage unit 354 Service characteristic information storage unit 355 Server characteristic information storage unit 370 Communication path switching unit 380 Data processing 385 Data storage unit 391 Measurement unit

Claims

An information processing system in which a terminal used by a user and a plurality of data processing devices that execute predetermined processing in response to a request from the terminal are connected via a network,
The data processing device includes:
A control unit that executes predetermined processing in response to the request;
A storage unit for storing an execution result of the predetermined process;
A measurement unit for measuring the state of the surrounding environment where the data processing device is installed;
With
The controller is
Based on the state of the surrounding environment measured by the measurement unit, determine whether to execute the predetermined process according to the request or whether to store the execution result of the predetermined process in the storage unit,
When it is impossible to execute a part or all of the predetermined process or when it is impossible to store all or a part of the execution result in the storage unit, another data processing apparatus is configured to execute the predetermined process. An information processing system, wherein all or part of the information is executed or all or part of the execution result is stored.
The control unit of the data processing device includes:
Based on the change in the state of the surrounding environment measured by the measurement unit, the processing method of the predetermined process according to the request is changed, or the storage location of the execution result of the predetermined process is changed. The information processing system according to claim 1, wherein:
The storage unit of the data processing device stores a state template corresponding to the state of the surrounding environment,
The controller is
From the state of the surrounding environment measured by the measuring unit and the state template, obtain non-measurement information of the surrounding environment that is not measured by the measuring unit,
Based on the state of the surrounding environment and non-measurement information on the surrounding environment, it is determined whether or not to execute a predetermined process in response to the request or whether or not to store the execution result of the predetermined process in the storage unit. The information processing system according to claim 2.
The control unit of the data processing device includes:
When the execution of a part or all of the predetermined process is impossible, or when all or a part of the execution result cannot be stored in the storage unit, the other data processing apparatus is provided with the predetermined process. A request to execute all or part of the process, and a request to store all or part of the execution result,
The information processing system according to claim 3, wherein the other data processing apparatus notified of the request returns to the data processing apparatus whether or not a predetermined process according to the request can be executed.
The control unit of the data processing device includes:
Estimating changes in the state of the surrounding environment,
When it is impossible to execute part or all of the predetermined process, or when it is impossible to store all or part of the execution result in the storage unit,
A request to cause the other data processing device to execute all or part of the predetermined processing and a request to store all or part of the execution result at a time when a change in the state of the surrounding environment is estimated. Notify
5. The information processing system according to claim 4, wherein the other data processing apparatus notified of the request returns to the data processing apparatus whether or not to execute a predetermined process according to the request.
The measurement unit of the data processing device measures a part of the state of the surrounding environment,
The control unit estimates state information of other surrounding environment from a part of the state of the surrounding environment measured by the measuring unit,
The determination as to whether or not to execute a predetermined process according to the request or whether or not to store the execution result of the predetermined process in the storage unit is made based on the estimated state information of the surrounding environment. 5. The information processing system according to 5.
The control unit of the data processing device includes:
When a voltage drop of the data processing device is measured by the measurement unit,
7. The apparatus according to claim 6, wherein a part of the device other than the communication switching device inside the data processing device is powered off, and the request from the terminal is transferred to the other data processing device by the communication switching device. Information processing system described in 1.
The control unit of the data processing device includes:
When the average power failure time of the installation area of the data processing device is measured by the measurement unit,
Determining a degeneration level indicating which device in the data processing apparatus is to be powered off, and causing another data processing apparatus to execute all or part of the predetermined processing based on the degeneration level, The information processing system according to claim 7, wherein all or part of the execution result is stored.
The control unit of the data processing device includes:
When movement of the data processing device is detected by the measurement unit,
The information processing system according to claim 8, wherein data received from the terminal or data stored in the storage unit is transferred to the other data processing device.
The control unit of the data processing device includes:
When the non-measurement information of the surrounding environment includes information on loss or theft risk of the data processing device,
The information processing system according to claim 9, wherein data received from the terminal is transferred to the other data processing device, and data transfer from the other data processing device is stopped.
A data processing device connected via a network to a terminal used by a user and a plurality of data processing devices that execute predetermined processing in response to a request from the terminal;
A control unit that executes predetermined processing in response to the request;
A storage unit for storing an execution result of the predetermined process;
A measurement unit for measuring the state of the surrounding environment where the data processing device is installed;
With
The controller is
Based on the state of the surrounding environment measured by the measurement unit, determine whether to execute the predetermined process according to the request or whether to store the execution result of the predetermined process in the storage unit,
When it is impossible to execute a part or all of the predetermined process or when it is impossible to store all or a part of the execution result in the storage unit, another data processing apparatus is configured to execute the predetermined process. A data processing apparatus, wherein all or part of the data is executed or all or part of the execution result is stored.
The controller is
Based on a change in the state of the surrounding environment measured by the measurement unit, the processing method of the predetermined process according to the request is changed, or the storage location of the execution result of the predetermined process is changed. The data processing apparatus according to claim 11, wherein:
The storage unit stores a state template corresponding to the state of the surrounding environment,
The controller is
From the state of the surrounding environment measured by the measuring unit and the state template, obtain non-measurement information of the surrounding environment that is not measured by the measuring unit,
Based on the state of the surrounding environment and non-measurement information on the surrounding environment, it is determined whether or not to execute a predetermined process in response to the request or whether or not to store the execution result of the predetermined process in the storage unit. The data processing apparatus according to claim 11.
The controller is
When the execution of a part or all of the predetermined process is impossible, or when all or a part of the execution result cannot be stored in the storage unit, the other data processing apparatus is provided with the predetermined process. A request to execute all or part of the process, and a request to store all or part of the execution result,
The data processing apparatus according to claim 11, wherein the other data processing apparatus notified of the request returns to the data processing apparatus whether or not a predetermined process according to the request is executable.
The controller is
Estimating changes in the state of the surrounding environment,
When it is impossible to execute part or all of the predetermined process, or when it is impossible to store all or part of the execution result in the storage unit,
A request to cause the other data processing device to execute all or part of the predetermined processing and a request to store all or part of the execution result at a time when a change in the state of the surrounding environment is estimated. Notify
The data processing apparatus according to claim 11, wherein the other data processing apparatus notified of the request returns to the data processing apparatus whether or not a predetermined process according to the request is executable.