JP2012221045A - Information processing device and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allocate processing objects in consideration of failure possibility.SOLUTION: An information processing device relating to an embodiment is used in an information processing system including: a plurality of nodes for executing processing of processing objects; and an information processing device for determining a node on which processing is executed. The information processing device includes: failure possibility calculation means which calculates failure possibilities for each of the plurality of nodes and outputs failure possibility data in which an identifier of the node and the calculated failure possibility are associated with each other; and node allocating means which, when a new processing object is inputted, reads out the failure possibility data and allocates the new processing object to a node with less failure possibility.

Description

  Embodiments described herein relate generally to an information processing apparatus and an information processing program.

  In general, an information processing system including a plurality of information processing apparatuses is known. The plurality of information processing apparatuses are connected to be communicable with each other via a communication network such as a LAN. In order to process a large number of processing targets as the entire information processing system, there is a method of assigning processing to any of a plurality of information processing apparatuses and distributing the processing. In this distribution, the importance of the processing target, the processing load of each information processing apparatus, and the like are taken into consideration.

  Here, in the information processing system, a process is not assigned to a failed information processing apparatus, and a process is assigned only to an operating information processing apparatus.

JP 2008-4046 A

  However, in general decentralization, the importance of the processing target and the processing load of the information processing apparatus are taken into consideration, but the possibility of failure of the hardware of the information processing apparatus itself is not mentioned.

  Accordingly, an object of the present invention is to provide an information processing apparatus and an information processing program that allocate processing targets in consideration of the possibility of failure.

  In order to solve the above-described problem, an information processing apparatus according to an embodiment is used in an information processing system including a plurality of nodes that execute a process to be processed and an information processing apparatus that determines a node that executes the process. . The information processing apparatus calculates a failure possibility for each of a plurality of nodes, outputs a failure possibility calculation unit that associates the node identifier with the calculated failure possibility, and a new process When a target is input, a node assigning unit that reads out failure possibility data and assigns the new processing target to a node with a low possibility of failure is provided.

It is a figure explaining the system configuration | structure of the information processing system which concerns on embodiment. It is a figure explaining the hardware constitutions of the information processing apparatus which concerns on embodiment. It is a figure explaining the functional block of the information processing apparatus which concerns on embodiment. It is a figure explaining an example of data structure and data of sensor threshold value data concerning an embodiment. It is a figure explaining an example of the data structure and data of node position data concerning an embodiment. It is a figure explaining an example of the data structure and data of failure possibility data concerning an embodiment. It is a flowchart explaining the process by the internal failure possibility calculation means which concerns on embodiment. It is a flowchart explaining the process by the external failure possibility calculation means which concerns on embodiment. It is a figure explaining the system configuration | structure of the information processing system which concerns on a modification. It is a figure explaining the functional block of the information processing apparatus which concerns on a modification.

  Next, embodiments will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

(Embodiment)
As shown in FIG. 1, the information processing system 5 according to the embodiment includes an information processing apparatus 1 having a node allocation function for determining a node to execute a process, and a plurality of nodes 2 a and 2 b that execute a process to be processed. 2c, 2d... The information processing apparatus 1 and the nodes 2a, 2b, 2c, and 2d are realized by installing and executing a program that executes a predetermined process in a general computer. The information processing apparatus 1 and the nodes 2a, 2b, 2c, and 2d are connected to each other via a communication network 6 so that they can communicate with each other. The communication network 6 is a network such as a LAN that can communicate with each other.

  Here, the processing target consumes computer resources such as CPU time and storage device, and predetermined processing is executed. The load on the computer that processes the processing target varies depending on the processing content of the processing target.

  In the example illustrated in FIG. 1, a case where the information processing system 5 includes one information processing apparatus 1 having a node allocation function and four nodes 2a, 2b, 2c, and 2d that do not have a node allocation function will be described. Each is not limited to this number. Here, when the nodes 2a, 2b, 2c, and 2d are not particularly distinguished, they may be simply referred to as the node 2.

  The information processing system 5 is a cluster system that distributes and processes a large number of processing targets. The information processing apparatus 1 having a node allocation function assigns which node 2a, 2b, 2c, and 2d executes the processing target, and the assigned node 2a, 2b, 2c, and 2d executes the processing target process. To do. Here, when a new processing target is input, the information processing apparatus 1 according to the embodiment is based on the failure possibility of the node 2 together with the performance of the node 2 and the load of the processing target executed by the node 2. The node that executes the processing target is determined. The information processing apparatus 1 may further determine a node that executes the processing target based on the input priority of the processing target.

  The node 2 according to the embodiment is provided with various sensors such as a thermometer and a hygrometer. The node 2 periodically transmits the measurement value of each sensor to the information processing apparatus 1. The sensor installed in the node 2 is, for example, a sensor for measuring the temperature of the node, the humidity of the node, the vibration, the luminous intensity, the outside air temperature, the outside air humidity, and the like.

  As shown in FIG. 2, the information processing apparatus 1 according to the embodiment includes a central processing control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, and an input / output interface 109 via a bus 110. Connected. An input device 104, a display device 105, a communication control device 106, a storage device 107, and a removable disk 108 are connected to the input / output interface 109.

  The central processing control apparatus 101 reads out and executes a boot program for starting up the information processing apparatus 1 from the ROM 102 based on an input signal from the input apparatus 104, and further reads out an operating system stored in the storage apparatus 107. Further, the central processing control device 101 controls various devices based on input signals from the input device 104, the communication control device 106, etc., and reads programs and data stored in the RAM 103, the storage device 107, etc. into the RAM 103. A processing device that loads and implements a series of processing described later, such as data calculation or processing, based on a program command read from the RAM 103.

  The input device 104 includes input devices such as a keyboard and a mouse through which an operator inputs various operations. The input device 104 generates an input signal based on the operation of the operator, and inputs via the input / output interface 109 and the bus 110. It is transmitted to the central processing control apparatus 101. The display device 105 is a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like, and receives an output signal to be displayed on the display device 105 from the central processing control device 101 via the bus 110 and the input / output interface 109. It is a device that displays the processing result of the control device 101 and the like. The communication control device 106 is a device such as a LAN card or a modem, and is a device that connects the information processing device 1 to a communication network such as the Internet or a LAN. Data transmitted / received to / from the communication network via the communication control device 106 is transmitted / received to / from the central processing control device 101 via the input / output interface 109 and the bus 110 as an input signal or an output signal.

  The storage device 107 is a semiconductor storage device or a magnetic disk device, and stores programs and data executed by the central processing control device 101. The removable disk 108 is an optical disk or a flexible disk, and signals read / written by the disk drive are transmitted / received to / from the central processing control apparatus 101 via the input / output interface 109 and the bus 110.

  An information processing program is stored in the storage device 107 of the information processing apparatus 1 according to the embodiment. As illustrated in FIG. 3, the storage device 107 includes a sensor log data storage unit 21, a sensor threshold data storage unit 22, a node position data storage unit 23, a failure possibility data storage unit 24, and a node assignment data storage unit 25. Further, when the information processing program is read and executed by the central processing control device 101 of the information processing apparatus 1, the sensor measurement value receiving means 11, the failure possibility calculating means 12, and the node assignment means 15 are added to the information processing apparatus 1. Implemented.

  The sensor log data storage unit 21 is a storage area in the storage device 107 in which the sensor log data 21a is stored. The sensor log data 21 a is log data of sensor measurement values received from each node of the information processing system 5. The sensor log data 21a is data in which measurement date / time, node identifier, sensor identifier, and measurement value of the sensor are associated. In the sensor log data 21a, sensor measurement values for a predetermined period are accumulated. Further, the sensor log data 21a may hold data of a node identifier, a sensor identifier, and an average value of measured values of the sensor for a certain period. The measured value for a certain period is referred to by an internal failure possibility calculation means 13 described later.

  The sensor threshold data storage unit 22 is a storage area in the storage device 107 in which sensor threshold data 22a is stored. The sensor threshold value data 22a is data that is referred to in order to determine whether or not the measured value of each sensor installed in the node is abnormal. The sensor threshold data 22 a is data that is created in advance and stored in the storage device 107.

  The sensor threshold value data 22a is data in which a sensor type and a threshold value are associated with each other, for example, as shown in FIG. The sensor type is a type of sensor installed in the node 2. The threshold value is a range of sensor measurement values indicating that the node 2 is normal. For example, when the sensor type is “temperature (apparatus)” and the measured value of the sensor that measures the temperature of the node 2 itself installed in the node 2 is within the range of “5 ° C.” to “35 ° C.”, the node It can be seen that the temperature of 2 itself is normal.

  The node position data storage unit 23 is a storage area in the storage device 107 in which the node position data 23a is stored. As shown in FIG. 5, the node position data 23a is data in which the identifier of the node 2 is associated with the position information of the node. The position information of the node 2 is, for example, coordinate information in the data center where the node 2 is installed. The node position data 23 a is data that is created in advance and stored in the storage device 107.

  The failure possibility data storage unit 24 is a storage area in the storage device 107 in which failure possibility data 24a is stored. The failure possibility data 24a is data output by the failure possibility calculation means 12 according to the embodiment. The failure possibility data 24a is data in which the identifier of the node 2 is associated with the failure possibility of the node 2 as shown in FIG. In the example illustrated in FIG. 6, it is understood that the node with the node identifier “ND001” has a high possibility of failure. In the example illustrated in FIG. 6, the possibility of failure of a node is described in three stages of “high”, “medium”, and “low”, but is not limited to this notation. For example, it may be expressed by a level such as level 5 or a percentage such as 30%.

  The node allocation data storage unit 25 is a storage area in the storage device 107 in which the node allocation data 25a is stored. The node assignment data 25a is data output by the node assignment unit 15 according to the embodiment. The node assignment data 25a is data in which an identifier of a processing target is associated with an identifier of a node that processes the processing target. The information processing apparatus 1 refers to the node assignment data 25a, inputs information about a processing target to be processed by the node 2 to the node 2, and processes the processing target assigned to the node.

  The sensor measurement value receiving means 11 receives the measurement values obtained from the sensors installed in the plurality of nodes 2 and records them in the sensor log data 21a. Upon receiving the sensor measurement value from the node 2, the sensor measurement receiving unit 11 generates a record in which the measurement date / time, the node identifier, the sensor identifier, and the measurement value of the sensor are associated with each other, and stores the record in the sensor log data 21a.

  In the embodiment, a case where the sensor measurement value is spontaneously received from the node 2 will be described, but the present invention is not limited to this method. For example, when information on a new processing target is input to the information processing apparatus 1 and an allocation process to the processing target node occurs, the information processing apparatus 1 according to the embodiment sends a sensor measurement value to the node 2. The inquiry and sensor measurement value receiving means 11 may receive the sensor measurement value as a response.

  The failure possibility calculation means 12 calculates the failure possibility for each of the plurality of nodes 2, and outputs failure possibility data 24a in which the node identifier is associated with the calculated failure possibility. The failure possibility calculation means 12 calculates the failure possibility for each node 2 by the method described later, and calculates failure possibility data 23a. The failure possibility calculation means 12 includes an internal failure possibility calculation means 13 and an external failure possibility calculation means 14.

  Here, the failure possibility calculation means 12 is (1) When the possibility of internal failure by the internal failure possibility calculation means 13 is the failure possibility of the node 2, (2) External failure possibility calculation means 14 is used as the failure possibility data of the node 2, and (3) the possibility of internal failure by the internal failure possibility calculation means 13 and the external possibility by the external failure possibility calculation means 14 Any of the methods for determining the possibility of failure of the node 2 is considered based on the possibility of static failure. In the case of (3), the failure possibility calculation means 12 calculates, for example, the possibility of internal failure and the possibility of external failure of the node 2, and the higher one is set as the possibility of failure of this node 2. . Specifically, the failure possibility calculation means 12 determines that the failure possibility of the node 2 is “medium” when the internal failure possibility of the node 2 is “medium” and the external failure possibility is “small”. It judges and memorize | stores in the failure possibility data 24a.

  Each process of the internal failure possibility calculation means 13 and the external failure possibility calculation means 14 will be described.

  The internal failure possibility calculation means 13 calculates a failure possibility due to an internal factor of the node 2. In the embodiment, the internal factor of the node 2 is a node abnormality based on the hardware of the node 2 or the like. For example, when the temperature, humidity, and vibration of the node 2 are not normal values, it is considered that there is a high possibility of failure in the future even if the node 2 is not currently malfunctioning. In addition, it is considered that there is a high possibility of failure in the future even when the node 2 is exposed to bright light such as high light intensity or when the temperature and humidity of the outside air are not normal values. The internal failure possibility calculation means 13 detects a future abnormality based on the hardware of the node 2 from the sensor installed in the node 2 and calculates the failure possibility.

  The internal failure possibility calculation means 13 refers to the sensor threshold value data 22a and corresponds to the degree of divergence between the measured value of any node 2 received by the sensor measurement value receiving means 11 and the threshold value of the sensor threshold value data 22a. Thus, the internal failure possibility of this node 2 is calculated. Here, the internal failure possibility calculation means 13 has a possibility of internal failure according to the degree of deviation from the threshold value of the sensor threshold data 22a for the measured values of all sensor types obtained for any node 2 for a predetermined period. Is preferably calculated.

  With reference to FIG. 7, the internal failure possibility calculation process by the internal failure possibility calculation means 13 will be described.

  First, in step S1, the internal failure possibility calculation means 13 waits for input of sensor measurement values. The sensor measurement values include the measurement values of all the sensors of all the nodes and are recorded in the sensor log data 21a. When the sensor measurement value is input, the internal failure possibility calculation means 13 repeats the processing from step S102 to step S104 for all nodes.

  The process of step S102 and step S103 is repeated for all sensors installed in any node 2. In step S <b> 102, the internal failure possibility calculation means 13 acquires a threshold value indicating a normal value from the sensor threshold data 22 a based on the sensor type for an arbitrary sensor of an arbitrary node 2, and compares it with the received measurement value. Calculate the difference. Furthermore, in step S103, the internal failure possibility calculation means 13 calculates the average value of the difference over a certain period from the present time from the difference calculated in step S102 and the sensor log data 21a. Here, when the average value of the difference for a certain period is not recorded in the sensor log data 21a, for example, from the measurement value newly acquired this time and the measurement value of the past sensor for a certain period such as 1 hour, You may calculate the average value of the difference of a fixed period.

  For an arbitrary node 2, the processes in steps S102 and S103 are repeated for all the sensors installed in the arbitrary node 2. When the processing of step S102 and step S103 is completed for all sensors installed in any node 2, the internal failure possibility calculation means 13 in step S104 calculates the average value of the differences of the sensors calculated in step S103. Is output as the possibility of internal failure of the node 2.

  For example, when the values of all the sensors of any node 2 are within the normal value range, the sum calculated in step S104 is 0, and the internal failure possibility calculation means 13 Output the possibility of mechanical failure as “low”. As this sum increases, the internal failure possibility calculation means 13 sets the internal failure possibility of this arbitrary node 2 to “medium” and “large” and outputs it.

  In the example illustrated in FIG. 7, the case where the evaluation of the difference between the measurement value of each sensor and the threshold value is uniformed has been described. However, the evaluation of the difference may be weighted according to the sensor type, the measurement date, and the like. For example, it is generally known that humidity is likely to change depending on the weather and season. Therefore, the difference of the temperature of 10 ° C. may be weighted so as to largely reflect the possibility of internal failure rather than the difference of 10% humidity.

  The external failure possibility calculation means 14 calculates the possibility of failure due to an external factor of the node 2. In the embodiment, the external factors of the node 2 are abnormalities outside the node 2 such as fire, flooding, lack of air conditioning, solar radiation, wind and snow. Such external factors are considered to have different levels of damage depending on the location of the node. For example, even in a plurality of nodes installed in the same room, there are positions that are easily damaged by external factors and positions that are not easily received. Therefore, it is considered that a node installed near a failure due to an external factor is likely to fail later due to the same external factor.

  Therefore, when any of the plurality of nodes 2 fails due to an external factor, the external failure possibility calculation means 14 refers to the node position data 23a and determines the distance between the failed node and an arbitrary node. In response, the possibility of external failure of the node is calculated. When the identifier of the node that has failed due to an external factor is input, the failure possibility calculation means 14 acquires the position information of the node from the node position data 23a, and at the same time, Calculate the distance. The possibility of external failure calculation means 14 outputs the possibility of external failure of a node having a small distance as “high” and the possibility of external failure of a node having a large distance as “low”.

  With reference to FIG. 8, the external failure possibility calculation process by the external failure possibility calculation means 14 will be described.

  In step S201, the external failure possibility calculation means 14 waits for information on the failed node to be input. Here, the failed node is a node that has failed due to an external factor among the plurality of nodes 2 of the information processing system 5. The failure node information is, for example, an identifier of the failure node. The information on the failed node may be input from a management terminal (not shown) via the communication network 6, or may be input from the input device 104 of the information processing apparatus 1. When the information on the failed node is input, the external failure possibility calculating means 14 acquires the location information on the failed node from the node location data 23a.

  When the location information of the failed node is acquired, the external failure possibility calculating means 14 repeats Step S202 and Step S203 for nodes other than the failed node.

  First, in step S202, the external failure possibility calculation means 14 acquires position information of an arbitrary node 2 that is not a failure node from the node position data 23a. Further, the external failure possibility calculation means 14 calculates the distance between this arbitrary node 2 and the failure node based on the location information of the failure node acquired in step S201.

  Further, in step S203, the external failure possibility calculation means 14 calculates the external failure possibility from the distance calculated in step S202. For example, when the possibility of external failure is output in three stages of “high”, “medium”, and “low”, a threshold of distance applied in three stages is set in advance. This threshold is preferably set according to the scale of the communication processing system 5 or the like. The external failure possibility calculation means 14 determines which stage is applicable from the distance calculated in step S202, and outputs the external failure possibility.

  Here, a case has been described in which the failure possibility calculation means 12 outputs the failure possibility data 24a every time a sensor measurement value is received or every time failure node information is input. This is an example. It is. For example, the failure possibility calculation means 12 may calculate the failure possibility data 24a asynchronously with reception of sensor measurement values or input of failure node information. The failure possibility calculation means 12 may calculate the failure possibility data 24a each time new processing target information is input to the information processing apparatus 1 and allocation processing to the processing target node occurs. .

  When a new processing target is input, the node allocation unit 15 reads out the failure possibility data 24a and allocates the new processing target to a node having a low possibility of failure.

Here, the node allocating unit 15 holds information on the load of each node 2 and information on a new load to be processed. For example, when the node 2a has the lowest possibility of failure, the load on the node 2a is 80%, and the load on the new processing target is 30%, this node cannot process this new processing target. Therefore, the node allocation means 15 tries to allocate to the next node with the lowest possibility of failure. The node allocation unit 15 determines a node to process a new processing target according to the load of each node in order from the low possibility of failure of the node, and causes the determined node to process the new processing target. Various methods of node allocation by the node allocation unit 15 can be considered.

  For example, there is a method of assigning nodes according to the importance of a new processing target. When the importance of the processing target is also given as the new processing target information, the node allocating unit 15 sets the new processing target to the node having a low possibility of failure when the input importance of the new processing target is high. And a new processing target may be assigned to a node having a high possibility of failure. For example, it is generally known that the degree of importance of a processing target is low for a processing target that does not cause a problem even if data is lost, such as streaming distribution, and that the update of a master table is high. Therefore, by assigning a processing target with a low importance level to a node with a high possibility of failure and assigning a processing target with a high importance level to a node with a low possibility of failure, a node that is still operating even if it has a high possibility of failure. The processing target can be stably processed in the entire information processing system 5 while being effectively used.

  In addition, there is a method of determining allocation of resources consumed or supplied by a processing target by a bid method. In this method, the bid price is adjusted such that the bid price for the resource supplied by the processing target whose CPU consumption is smaller than the other processing target is larger than that of the other processing target. Furthermore, based on the adjusted bid price, a node that processes the processing target is determined.

  As described above, various methods can be considered for the node allocation processing by the node allocation means 15. Here, by further considering the possibility of failure according to the embodiment in the conventional method, a more stable operation of the information processing system 5 is expected.

(Modification)
The information processing system 5 according to the embodiment has been described with respect to the case where the information processing system 5 includes the plurality of nodes 2 that execute the process to be processed and the information processing apparatus 1 that determines the node that executes the process. In a modified example, an information processing system 5a including a plurality of information processing devices 3 that execute a process to be processed and determine a node to execute the process will be described.

  As shown in FIG. 9, the information processing system 5a according to the modification includes information processing apparatuses 3a, 3b, 3c, 3d, and 3e having a plurality of node allocation functions. Here, when the information processing devices 3a, 3b, 3c, 3d, and 3e are not particularly distinguished, they may be simply referred to as the information processing device 3.

  With reference to FIG. 10, an information processing apparatus 3 according to a modification will be described. The information processing apparatus 3 according to the modification is different from the information processing apparatus 1 according to the embodiment described with reference to FIG. When a new processing target is input, the node assignment unit 15a according to the modification reads the failure possibility data 24a and assigns the new processing target to the information processing apparatus 3 with a low possibility of failure. The node assignment unit 15a assigns a processing target to any of the information processing apparatuses 3a, 3b, 3c, 3d, and 3e of the information processing system 5a according to the modification.

  Compared to the information processing apparatus 1 according to the embodiment described with reference to FIG. 3, the information processing apparatus 3 according to the modified example further includes a processing data storage unit 26 and a central processing control apparatus 101. Is different in that the processing execution means 16 is mounted.

  The processing data storage unit 26 is a storage area in which processing data 26 a is stored in the storage device 107. The processing data 26 a is data that is referred to or updated in the processing target process input to the information processing apparatus 3. The processing data 26a may be stored in the storage device 107 of the information processing device 3, or may be stored in a storage device such as a database server connected via the communication control device 106.

  The process execution unit 16 is a unit that processes a process target input to the information processing apparatus 3. The process execution means 16 refers to or updates the process data 26a and executes a predetermined process. Here, as long as there is a resource of the information processing apparatus 3, the process execution unit 16 may process a plurality of processing targets. The process execution unit 16 may process the processing target allocated by the node allocation unit 15a of the information processing apparatus 3 itself, or may process the processing target allocated by another information processing apparatus of the information processing system 5a. There is also.

  In this way, the processing target may be further processed at the node to which the processing target is assigned. Further, in the modified example, a case has been described in which all computers of the information processing system 5a allocate nodes to be processed and process the assigned processing targets, but the present invention is not limited to this form. For example, the computer that processes the node assignment may be limited to only a node having a low possibility of failure.

  The information processing apparatus according to at least one embodiment described above can assign a processing target in consideration of the possibility of failure.

  Although several embodiments have been described, these embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1, 3 Information processing apparatus 2 Node 5 Information processing system 6 Communication network 11 Sensor measured value receiving means 12 Failure possibility calculation means 13 Internal failure possibility calculation means 14 External failure possibility calculation means 15 Node allocation means 16 Process data Storage unit 21 Sensor log data storage unit 22 Sensor threshold data storage unit 23 Node position data storage unit 24 Failure possibility data storage unit 25 Node allocation data storage unit 26 Process execution means 101 Central processing control device 102 ROM
103 RAM
104 Input Device 105 Display Device 106 Communication Control Device 107 Storage Device 108 Removable Disk 109 Input / Output Interface 110 Bus

Claims (8)

An information processing apparatus used in an information processing system comprising a plurality of nodes that execute a process to be processed and an information processing apparatus that determines a node that executes the process,
A failure possibility calculating means for calculating a failure possibility for each of the plurality of nodes, and outputting failure possibility data in which the identifier of the node and the calculated failure possibility are associated;
When a new processing target is input, node allocation means for reading the failure possibility data and allocating the new processing target to the node having a low possibility of failure;
An information processing apparatus comprising: Sensor measurement value receiving means for receiving measurement values obtained from sensors installed in the plurality of nodes and recording the sensor log data,
The failure possibility calculation means includes an internal failure possibility calculation means,
The internal failure possibility calculation means refers to sensor threshold value data including a threshold value indicating a normal value of the sensor, and obtains a measurement value of an arbitrary node received by the sensor measurement value reception means, and the threshold value. The information processing apparatus according to claim 1, wherein a failure possibility of the arbitrary node is calculated according to the degree of divergence. The failure possibility calculation means includes an external failure possibility calculation means,
When any of the plurality of nodes fails due to an external factor, the external failure possibility calculation means refers to node position data including position information of the plurality of nodes, and arbitrarily selects the failed node. The information processing apparatus according to claim 1, wherein a failure possibility of the arbitrary node is calculated according to a distance from the node. Sensor measurement value receiving means for receiving measurement values obtained from sensors installed in the plurality of nodes and recording the sensor log data,
The failure possibility calculation means includes an internal failure possibility calculation means and an external failure possibility calculation means,
The internal failure possibility calculation means refers to sensor threshold value data including a threshold value indicating a normal value of the sensor, and obtains a measurement value of an arbitrary node received by the sensor measurement value reception means, and the threshold value. Depending on the degree of divergence, calculate the possibility of internal failure of the arbitrary node,
When any of the plurality of nodes fails due to an external factor, the external failure possibility calculation means refers to node position data including position information of the plurality of nodes, and arbitrarily selects the failed node. The possibility of external failure of any given node is calculated according to the distance from the node,
The failure possibility calculation means calculates the failure possibility of the arbitrary node based on the internal failure possibility and the external failure possibility of the arbitrary node. Information processing device. The node assigning unit assigns the new processing target to a node having a low possibility of failure when the importance of the input new processing target is high, and the failure possibility is high when the importance is low. The information processing apparatus according to any one of claims 1 to 4, wherein the new processing target is assigned to a node. An information processing apparatus used for an information processing system including a plurality of information processing apparatuses that execute a process to be processed and determine a node that executes the process,
A failure possibility calculating means for calculating a failure possibility for each of the plurality of nodes, and outputting failure possibility data in which the identifier of the node and the calculated failure possibility are associated;
When a new processing target is input, node allocation means for reading the failure possibility data and allocating the new processing target to the information processing apparatus having a low possibility of failure;
An information processing apparatus comprising: a process execution unit that executes a process to be processed assigned to the information processing apparatus. An information processing program used for an information processing apparatus of an information processing system comprising a plurality of nodes that execute a process to be processed and an information processing apparatus that determines a node that executes the process,
Computer
A failure possibility calculating means for calculating a failure possibility for each of the plurality of nodes, and outputting failure possibility data in which the identifier of the node and the calculated failure possibility are associated;
An information processing program for reading out the failure possibility data when a new process target is input and causing the node to be assigned with the new process target to a node with a low possibility of failure. An information processing program used for an information processing apparatus of an information processing system that includes a plurality of information processing apparatuses that execute a process to be processed and determine a node that executes the process,
Computer
A failure possibility calculating means for calculating a failure possibility for each of the plurality of nodes, and outputting failure possibility data in which the identifier of the node and the calculated failure possibility are associated;
When a new processing target is input, node allocation means for reading the failure possibility data and allocating the new processing target to the information processing apparatus having a low possibility of failure;
An information processing program for functioning as a process execution unit that executes a process to be processed assigned to the information processing apparatus.

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