JP5443686B2 - Information processing apparatus, information processing method, and program - Google Patents

Description

  The present invention relates to a technique applicable to autonomous computing that autonomously manages a target computer system.

  A so-called autonomous computing system is known in which a computer manages itself in order to reduce the burden of managing a computer system by humans. In autonomous computing, when a failure or the like occurs in a computer system, an autonomous self failure can be repaired based on a predetermined operation guideline (policy).

  Patent Document 1 discloses an invention in which when an event such as a failure occurs, an appropriate operation is performed in consideration of the operating state of a computer system other than the computer system that detected the event.

JP 2006-92291 A

  However, in the invention disclosed in Patent Document 1, a configuration change process is uniformly performed on an event that has occurred. That is, the situation of the system that provides the service was not considered at all.

  Therefore, an object of the present invention is to make it possible to change the configuration of a computer system in accordance with the status of a system that provides a service.

An information processing apparatus according to the present invention is an information processing apparatus connected via a communication line to a computer system including at least one computer that provides a service, and indicates a state of the computer system that provides the service The monitoring data is acquired, first event information relating to a failure including a change in resource state is generated from the acquired monitoring data, the change in the first event information is compared with the past monitoring data, and the computer Configuration relating to a computer constituting the computer system for providing the service, and event information generating means for generating second event information corresponding to a time series from the past to the future, including prediction contents of future state changes of the system Configuration information acquisition means for acquiring information and providing the service Change in that the policy information acquiring means for acquiring policy information that indicates the operational guidelines of the computer system, the configuration information obtained by the configuration information acquisition unit, wherein the first event information generated by the event information generator Based on the second event information corresponding to the time series from the past to the future, including the predicted contents of the future state change of the computer system . Based on system state information calculating means for calculating system state information relating to the state of the entire computer system required when providing the service corresponding to a time series of time points, based on the system state information and the policy information Request information for changing the configuration of the computer system, and a plurality of future information And having a request information generation means for generating request information when corresponding to a sequence of points.
The information processing method of the present invention is an information processing method by an information processing apparatus connected via a communication line to a computer system comprising at least one computer that provides a service, the computer system providing the service Monitoring data indicating the status of the current state is generated, first event information relating to a failure including a change in the resource state is generated from the acquired monitoring data, and the change in the first event information is compared with the past monitoring data. An event information generating step for generating second event information corresponding to a time series from the past to the future, including prediction contents of future state changes of the computer system, and the computer system for providing the service Configuration information acquisition step for acquiring configuration information about the computer to be executed And flop, and policy information acquiring step of acquiring policy information that indicates the operational guidelines of the computer system for providing the service, the configuration information obtained by the configuration information acquisition step, said generated by the event information generating step By comparing the change in the first event information with the past monitoring data, the second event information corresponding to the time series from the past to the future, including the predicted contents of the future state change of the computer system A system state information calculating step for calculating system state information relating to the state of the entire computer system, which is required when providing the service corresponding to a time series of a plurality of times in the future, and the system state information; The configuration of the computer system is changed based on the policy information. A request information to, characterized in that it comprises a request information generating step of generating a request information corresponding to the time series of the future of the plurality of time points.
The program of the present invention is a program for causing a computer to execute an information processing method by an information processing apparatus connected via a communication line to a computer system including at least one computer that provides the service. Monitoring data indicating a state of the computer system that provides the information, and generating first event information related to a failure including a resource state change from the acquired monitoring data, and the change of the first event information and the past Providing the service with an event information generating step for generating second event information corresponding to a time series from the past to the future, including the predicted contents of future state changes of the computer system by collating with monitoring data A computer constituting the computer system A configuration information acquisition step for acquiring configuration information, a policy information acquisition step for acquiring policy information indicating an operation guideline of the computer system that provides the service, a configuration information obtained by the configuration information acquisition step, By comparing the change in the first event information generated by the event information generation step with the past monitoring data, including the predicted contents of the future state change of the computer system, the time series from the past to the future System state information for calculating system state information relating to the state of the entire computer system required when providing the service corresponding to a time series of a plurality of future points in time based on the corresponding second event information Based on the calculating step, the system state information, and the policy information. Te, a request information for changing the configuration of the computer system, characterized in that to execute a request information generating step of generating a request information corresponding to the time series of the future of the plurality of time points to the computer.

  An object of the present invention is to make it possible to change the configuration of a computer system in accordance with the status of a system that provides a service.

  DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments to which the invention is applied will be described in detail with reference to the accompanying drawings.

  FIG. 1 is a block diagram showing a functional configuration of an autonomous computing device according to an embodiment of the present invention. As shown in FIG. 1, the autonomous computing device 100 according to the present embodiment is a computer system that is an autonomous computing environment including servers 1001, storage devices 1002, and network (N / W) devices 1003. And a communication line such as a LAN (Local Area Network), etc., and the status of each device can be monitored via this communication line. The autonomous computing environment is an environment to which the autonomous computing technology in the present embodiment is applied.

  The servers 1001 described above are various servers such as a Web server, an AP server, and a DB server, and the storages 1002 are devices that can record information such as a DB. The network device 1003 is a communication network such as a LAN that connects the servers 1001 and the storage devices 1002.

  The monitoring device 101 appropriately acquires monitoring data from each node of the servers 1001, the storage devices 1002, and the network devices 1003. The following are examples of monitoring contents. From the servers 1001, data indicating CPU utilization, data indicating memory usage, resource usage data such as network flow rate and disk access count, log data indicating processing history of each server, and the like are acquired as monitoring data. In addition, the monitoring apparatus 101 acquires data such as a disk usage amount and a disk cache hit rate from the storages 1002 as monitoring data. Furthermore, the monitoring apparatus 101 acquires log data indicating the flow rate of these communication lines and the presence or absence of communication errors as monitoring data from the network apparatus 1003. In addition, when a failure occurs in each node, the monitoring device 101 acquires the failure occurrence as monitoring data.

  The monitoring apparatus 101 generates event information indicating the state of the autonomous computing environment based on the acquired monitoring data, and stores the event information in the monitoring result database 102.

  In addition, the monitoring apparatus 101 appropriately monitors the configuration of the autonomous computing environment, generates the result as configuration information, and stores it in the policy management database 105.

  The policy management database 105 stores policies in addition to the configuration information described above. A policy is data indicating guidelines regarding the operation of the autonomous computing environment.

  The analysis unit 103 acquires event information stored in the monitoring result database 102, generates event information indicating a transition history of state changes in the autonomous computing environment from the past, and changes in the value of the acquired event information And event history indicating the predicted contents of the future state change of the autonomous computing environment are generated by comparing the change history of the value of the past event information.

  When the event information is input from the analysis unit 103 or the monitoring result database 102, the determination unit 104 acquires configuration information and a policy corresponding to the event information from the policy management database 105, and requests configuration change request information for the autonomous computing environment. Is generated and output to the provisioning device 107.

  The provisioning device 107 performs so-called provisioning such as addition, deletion, and replacement of nodes in response to a configuration change request.

  FIG. 2 is a block diagram illustrating a hardware configuration of the autonomous computing device 100. The CPU 201 comprehensively controls each device and controller connected to the system bus. The ROM 203 or HD 207 stores, for example, a program for the processing shown in FIG. 3 executed by the autonomous computing device 100, such as a BIOS (Basic Input / Output System), which is a control program for the CPU 201, and an operating system program.

  In the example of FIG. 2, the hard disk (HD) 207 is configured to be arranged inside the autonomous computing device 100. However, as another embodiment, a configuration corresponding to the HD 207 is external to the autonomous computing device 100. It is good also as a structure arrange | positioned. For example, the program for performing the processing shown in FIG. 3 according to the present embodiment is recorded on a computer-readable recording medium such as a flexible disk (FD) 206 or a CD-ROM, and is supplied from the recording medium. Alternatively, it may be configured to be supplied via a communication medium such as the Internet.

  The RAM 202 functions as a main memory, work area, and the like for the CPU 201. The CPU 201 implements various operations by loading a program necessary for execution of processing into the RAM 202 and executing the program.

  The disk controller 205 controls access to external memories such as the HD 207 and the FD 206. The communication IF controller 204 is connected to the Internet or a LAN, and controls communication with the outside by, for example, TCP / IP.

  The display controller 208 controls image display on the display 209.

  The KB (keyboard) controller 210 receives an operation input from the keyboard (KB) 211 and transmits it to the CPU 201. Although not shown, in addition to the keyboard 211, a pointing device such as a mouse can also be applied to the autonomous computing apparatus according to the present embodiment as a user operation means.

  Also, the monitoring device 101, the analysis unit 103, the determination unit 104, and the provisioning device 107 in FIG. 1 are configured to correspond to a program stored in the HD 207 and loaded into the RAM 202 as necessary, and a CPU 201 that executes the program, for example. is there.

  The policy management database 105 and the monitoring result database 102 in FIG. 1 have a configuration corresponding to a partial storage area in the HD 207, for example. The policy management database 105 and the monitoring result database 102 may be provided outside the autonomous computing device 100.

  FIG. 3 is a flowchart showing an operation flow of the autonomous computing device 100 according to the present embodiment. In FIG. 3, the monitoring device 100 first acquires monitoring data from each node of the autonomous computing environment, and generates event information related to a failure such as a resource state change from the acquired monitoring data (step S301).

  Subsequently, the monitoring apparatus 101 accumulates the generated event information in the monitoring result database 102 (step S302).

  Subsequently, the analysis unit 103 acquires event information from the monitoring result database 102, and generates or acquires event information indicating a transition history of state change of the autonomous computing from the past based on the acquired event information. The event information indicating the predicted contents of the future state change of the autonomous computing environment is generated by collating the change of the value of the event information with the change history of the value of the past monitoring data (step S303). Future state changes are predicted by applying various analysis methods to changes over time in event information from the past to the present. For example, when the current CPU usage rate is 40% and the CPU usage rate has increased by 10% every 30 minutes from the past to the present, the future CPU usage rate is calculated using linear prediction, and the current CPU usage rate is 4 It is predicted that the CPU utilization rate will exceed the threshold value of 80% after a time. Of course, methods other than linear approximation can be used depending on the type of event and the degree of change.

  Subsequently, the determination unit 104 acquires a policy corresponding to the event information output from the analysis unit 103 or the monitoring result database 102 and the current configuration information from the policy management database 105. Then, the determination unit 104 generates a current configuration change request based on the event information, the policy, and the current configuration information (Step S304). Details of the configuration change request generation processing will be described later.

  Subsequently, the provisioning device 107 executes provisioning corresponding to the configuration change request output from the determination unit 104 for the autonomous computing environment (step S305).

  FIG. 4 is a diagram illustrating an example of an autonomous computing environment to be monitored in the present embodiment. Here, Web servers 1 to 4 that are servers 1001, AP servers 1 and 2 and DB servers 1 to 2, and DBs that are storage devices 1002 are connected to each other via a communication line that is a network device 103. Take a computer system as an example.

  FIG. 5 is a diagram showing configuration information when the autonomous computing environment shown in FIG. 4 is a monitoring target. As shown in FIG. 5, the configuration information includes, for example, date and time information, the name of each server (node), service name, role, specification, and status. The date / time information indicates the date / time when the configuration information was generated by the monitoring apparatus 101. The service name indicates the service name of the corresponding computer system. The role indicates the role of the server in the computer system. The status indicates whether or not the server is in an operating state. The above-described configuration information is an example for carrying out this embodiment. For example, instead of managing whether or not the corresponding server is operating by status, managing the server, service, role, specification, etc. with blank items manages that the corresponding server is not in operation. Of course it is good.

  FIG. 6 is a diagram conceptually illustrating a configuration of event information acquired by the determination unit 104. Therefore, it is actually expressed in a programming language so that the computer can understand it. The same applies to other diagrams relating to the structure of event information.

  FIG. 6 shows three examples of event information. The event information includes date / time information, occurrence location, and contents. The date / time information is information related to the date / time when the monitoring device 101 acquired the monitoring data, or information indicating the date / time when an event predicted by the analysis unit 103 can occur. The occurrence location is information indicating the location where the monitoring device 101 has acquired the monitoring data. The content is information indicating a failure occurrence or resource state change indicated by monitoring data acquired by the monitoring apparatus 101, or information indicating a failure occurrence or resource state change predicted as a result of analysis by the analysis unit 103. Here, as the content of the event information 1, “the current CPU usage rate is 50%” is shown. In addition, as the contents of the event information 2, “the current CPU usage rate is 30%” is shown. The event information 1-2 is generated by the monitoring apparatus 101 and acquired by the determination unit 104. The event information 3 is generated as event information indicating prediction of a future state change by the analysis unit 103, and is acquired by the determination unit 104. As the contents of the event information 3, “CPU usage rate after 30 minutes is 70%, CPU usage rate after 60 minutes is 90%, and CPU usage rate after 90 minutes is 110%” is shown. This content is the predicted content of the CPU usage rate after 30 to 90 minutes generated based on the event information in the analysis unit 103.

  FIG. 7 is a diagram conceptually showing a policy configuration that can correspond to the event information shown in FIG. Here, policies 1 to 3 related to the service A and the AP server where the event information 1 to 3 occurs are listed.

  The policy includes application points and rules. The application location is information indicating a location to which the policy is applied. The rule is information indicating a rule that is the application content of the policy. As shown in FIG. 7, it is indicated that the application point of the policy is an AP server of the computer system that provides the service A. The policy rule indicates that “the CPU usage rate per node is operated at 60% or less”. Note that a node is a term that refers to an individual device belonging to any of the servers 1001, the storage devices 1002, and the network devices 1003. In FIG. 7, the rules are expressed in a document for explanation, but in actuality, they are described in the if / then format or the like often used in computer programming languages so that the computer can judge the rules. The same applies to the other diagrams related to policy configuration.

  When the event information shown in FIG. 6 is acquired, the determination unit 104 acquires the current configuration information shown in FIG. 5 corresponding to the autonomous computing environment from the policy management database 105 in addition to the policy shown in FIG. .

  A policy selection method in the determination unit 104 will be described. For example, when the event information 1 is acquired by the determination unit 104, the determination unit 104 includes a rule that includes rules corresponding to the content of the event information 1 (current CPU usage rate 50%), that is, the CPU usage rate of the AP server. In addition, a policy including a rule corresponding to the place where the event information 1 occurs (service A, AP server) is selected. The determination unit 104 selects the policy shown in FIG. 7, for example, which has contents relating to the CPU usage rate of the AP server and uses the location where the event information 1 is generated as the application location of the rule. The selected policy and the current configuration A configuration change request is generated based on the information. The same applies to event information 2 or event information 3.

  Note that although the CPU utilization rate is described here as an example, it is needless to say that the present invention can also be applied to a resource utilization rate such as a memory.

  FIG. 11 is a diagram conceptually illustrating the configuration of the configuration change request generated by the determination unit 104. As shown in FIG. 11, the configuration change request includes a target, a time limit, and contents. The object indicates an object for which a configuration change is requested by the configuration change request. The term is a term for realizing the contents of the configuration change request. The content is the content of the configuration change requested for the target. Although conceptually shown in FIG. 11 for explanation, it is actually expressed in a programming language so that the computer can understand it. The same applies to other drawings relating to the configuration change request.

  Next, a method for generating a configuration change request in the determination unit 104 will be described. First, the determination unit 104 acquires current configuration information, and selects a policy as described above. Next, the determination unit 104 applies the acquired current configuration information and policy to the formula for calculating the load amount required for the entire system for the operation of the service A shown in FIG. Calculate the load. Specifically, it will be described later with reference to FIG. In this example, the CPU performance ratio and CPU utilization of the AP server are used as the load amount, but other values such as the access amount to the service A may be used. The CPU performance ratio is an index representing the performance of the CPU, and is calculated using values such as a clock frequency and a benchmark test result.

  The load amount calculation process required for the entire system to operate the service A will be specifically described with reference to FIG. For example, when the determination unit 104 recognizes that there are two servers that provide the service A from the acquired current configuration information and acquires the event information 1 to 3 shown in FIG. CPU utilization before 30 minutes, current CPU utilization is 50%, CPU utilization after 30 minutes is 70%, CPU utilization after 60 minutes is 90%, CPU utilization after 90 minutes is 110% Therefore, as shown in FIG. 9, the total of the CPU performance ratio × CPU usage rate for two units is calculated. Here, the case where both the AP servers 1 and 2 have a CPU performance ratio of 1 is exemplified, but it is needless to say that the present invention is not limited to this.

  Next, the system configuration required to satisfy the policy in the operation of the service A based on the load amount of the entire system for the operation of the service A at each time and the selected policy calculated by such processing. Is calculated. Specifically, from the policy shown in FIG. 7 acquired by the determination unit 104 “operating with a CPU usage rate of 60% or less per unit”, the current load amount, the load amount after 30 minutes, the load amount after 60 minutes Divide the load amount after 90 minutes by the load amount (60%) that can be processed by one unit. When the determination unit 104 performs this process, the number of servers currently required, the number of servers required after 30 minutes, the number of servers required after 60 minutes, and the number of servers required after 90 minutes are required to satisfy the policy and operate the service A. Calculate the number of servers. In addition, when it is not divisible, the operation may be performed with the raised value as the required number of servers.

  FIG. 10 is a diagram illustrating a method for calculating the necessary number of servers by the determination unit 104. As shown in FIG. 10, the required number of servers is obtained by dividing the load amount of the entire computer system required for providing the service A by the CPU utilization rate per one 60% indicated in the policy. Is calculated. The number of servers required at present is calculated as 2, the number of servers required after 30 minutes is 3, the number of servers required after 60 minutes is calculated, and the number of servers required after 90 minutes is calculated as 4.

  FIG. 11 shows a configuration change request generated by the determination unit 104 performing the above-described processing. For example, the configuration change request 1 in FIG. 11 is “to be configured by 2 units by 10:00 on October 11, 2007”, and the configuration change request 2 is by “configuration by 3 units by 10:30 on 2007/10/11”. The configuration change request describing the number of servers necessary for providing the service A satisfying the policy shown in FIG. 7 according to the current or calculated future load amount, such as Is generated.

  FIG. 12 is a graph showing the relationship between time and load amount based on the values calculated in FIG. By deriving the relationship between time and the load on the service, it is possible to calculate the required number of servers according to sudden load fluctuations and the number of servers that make up the service providing system. It is possible to generate a configuration change request according to the status of the system to be executed.

  The provisioning device 107 changes the configuration of the autonomous computing environment according to the configuration change request output by the determination unit 104.

  As described above, in the present embodiment, in order to provide services by satisfying preset operation rules, information on what system configuration should be generated by the time is autonomously generated and realized. The system configuration can be changed.

  Needless to say, the event information may be converted into CBE (Common Base Event) data, which is one of the standard formats, in implementing the present invention.

It is a block diagram which shows the functional structure of the autonomous computing apparatus which concerns on embodiment of this invention. It is a block diagram which shows the hardware constitutions of an autonomous computing device. It is a flowchart which shows the flow of operation | movement of the autonomous computing apparatus which concerns on this embodiment. It is a figure which shows an example of the autonomous computing environment made into the monitoring object in this embodiment. FIG. 5 is a diagram illustrating configuration information when the autonomous computing environment illustrated in FIG. 4 is a monitoring target. It is a figure which shows notionally the structure of the event information which a judgment part acquires. It is a figure which shows notionally the structure of the policy which may correspond to the event information shown in FIG. It is a figure which shows the type | formula which calculates the load amount which the whole system requires for operation | movement of the service A. FIG. It is a figure for demonstrating concretely the calculation process of the load amount which the system as a whole requires for operation of the service A. It is a figure which shows the calculation method of the required number of servers by the judgment part. It is a figure which shows an example of the structure change request | requirement which a judgment part produces | generates. FIG. 10 is a graph showing the relationship between time and load amount based on the values calculated in FIG. 9.

Explanation of symbols

100: Autonomous computing device 101: Monitoring device 102: Monitoring result database 103: Analysis unit 104: Determination unit 105: Policy management database 107: Provisioning device 1001: Servers 1002: Storages 1003: Network devices

Claims (5)

An information processing apparatus connected via a communication line to a computer system composed of at least one computer providing a service,
The monitoring data indicating the state of the computer system that provides the service is acquired, first event information relating to a failure including a resource state change is generated from the acquired monitoring data, and the change in the first event information and the past Event information generating means for generating second event information corresponding to a time series applied from the past to the future, including the predicted contents of future state changes of the computer system.
Configuration information acquisition means for acquiring configuration information about a computer constituting the computer system that provides the service;
Policy information acquisition means for acquiring policy information indicating an operation guideline of the computer system providing the service;
By comparing the configuration information obtained by the configuration information acquisition unit, the change in the first event information generated by the event information generation unit with the past monitoring data, the future state change of the computer system The computer required for providing the service corresponding to the time series at a plurality of times in the future based on the second event information corresponding to the time series applied from the past to the future including the predicted contents of System state information calculating means for calculating system state information related to the state of the entire system;
Request information generation means for generating request information corresponding to a time series of a plurality of future time points, which is request information for changing the configuration of the computer system based on the system state information and the policy information; An information processing apparatus comprising: The system state information calculation means collates the change in the first event information generated by the event information generation means with the past monitoring data, and includes prediction contents of future state change of the computer system. By calculating the sum of the number of computers constituting the computer system indicated by the configuration information acquired by the configuration information acquisition unit for the second event information corresponding to the time series from the past to the future, The information processing apparatus according to claim 1, wherein information related to a state of the entire computer system required when providing the service corresponding to a series is calculated. The request information generating means, the information about the state of the entire computer system to divide the value shown in the policy information, according to claim 1 or 2, characterized in that to generate the required information on the basis of the result Information processing device. An information processing method by an information processing apparatus connected via a communication line to a computer system comprising at least one computer providing a service,
The monitoring data indicating the state of the computer system that provides the service is acquired, first event information relating to a failure including a resource state change is generated from the acquired monitoring data, and the change in the first event information and the past Event information generation step of generating second event information corresponding to a time series applied from the past to the future, including the predicted contents of the future state change of the computer system.
A configuration information acquisition step of acquiring configuration information about a computer constituting the computer system that provides the service;
A policy information acquisition step of acquiring policy information indicating an operation guideline of the computer system providing the service;
By comparing the configuration information obtained in the configuration information acquisition step with the change in the first event information generated in the event information generation step and the past monitoring data, a future state change of the computer system The computer required for providing the service corresponding to the time series at a plurality of times in the future based on the second event information corresponding to the time series applied from the past to the future including the predicted contents of A system state information calculating step for calculating system state information relating to the state of the entire system;
A request information generation step for generating request information corresponding to a time series of a plurality of times in the future, which is request information for changing the configuration of the computer system based on the system state information and the policy information; An information processing method comprising: A program for causing a computer to execute an information processing method by an information processing apparatus connected via a communication line to a computer system including at least one computer providing a service,
The monitoring data indicating the state of the computer system that provides the service is acquired, first event information relating to a failure including a resource state change is generated from the acquired monitoring data, and the change in the first event information and the past Event information generation step of generating second event information corresponding to a time series applied from the past to the future, including the predicted contents of the future state change of the computer system.
A configuration information acquisition step of acquiring configuration information about a computer constituting the computer system that provides the service;
A policy information acquisition step of acquiring policy information indicating an operation guideline of the computer system providing the service;
By comparing the configuration information obtained in the configuration information acquisition step with the change in the first event information generated in the event information generation step and the past monitoring data, a future state change of the computer system The computer required for providing the service corresponding to the time series at a plurality of times in the future based on the second event information corresponding to the time series applied from the past to the future including the predicted contents of A system state information calculating step for calculating system state information relating to the state of the entire system;
A request information generation step for generating request information corresponding to a time series of a plurality of times in the future, which is request information for changing the configuration of the computer system based on the system state information and the policy information; A program that causes a computer to execute.

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