JP6717208B2 - Data processing system, data processing method and computer program - Google Patents

Description

The present invention relates to a technique for processing data received via a communication network in parallel in appropriate units.

In recent years, various information communication technologies have become widespread, such as speeding up and widening of communication networks, and spread of mobile devices and various sensors. Along with this, the diversification and large scale of data (one or more data sets) to be processed (or accumulated) are rapidly advancing. In the following, one or more data sets are collectively referred to as “data”.

In such a situation, it is expected that the amount of data to be handled will increase even in the service bus, which is a base for linking various services. In this case, such a service bus may be required to meet the needs (requests) of processing data (events) that occur momentarily at high speed (for example, in real time).

In addition, a complex event processing (CEP) system is known as a technology capable of processing a large number of data (events). The CEP system is required to handle data transmitted from various information processing terminals or sensors, and to process received data at high speed. Therefore, a technology capable of distributing or reducing the load related to data processing is required for the CEP system. Technologies related to such a CEP system are disclosed in, for example, the following patent documents.

Patent Literature 1 (International Publication No. 2011/010711) discloses a technique of distributing the load of the dispatcher by reducing the number of rules set in the dispatcher that distributes the event to the processing servers in the event processing system. ..

Japanese Patent Laid-Open No. 2013-114626 discloses a technique for reducing communication between processing devices that form an event processing system. The technique disclosed in Patent Document 2 is a specific query so that the number of communications between the queries is reduced in a situation where a query that processes data that matches a set condition can be arranged in a plurality of processing devices. Are placed in the same device.

Japanese Patent Laid-Open No. 2012-079242 discloses a load of each processing device based on the degree of association between rules arranged in each processing device that configures the event processing system and the load status of each processing device. We will disclose the technology to rearrange the rules so that is below a certain level.

Patent Document 4 (Japanese Patent Laid-Open No. 2006-309701) discloses a technique in an event processing system that controls the distribution of events to each processing server to distribute the load to each processing server. The technique disclosed in Patent Document 4 controls distribution of processing rules to each processing server based on the number of rules set for each processing server, event conditions included in the rules, and the like.

As an example of a system to which the complex event processing is applied, a technique for detecting malicious activity executed in a monitored system by receiving events from a plurality of information sources is disclosed in Patent Document 5 (Japanese Patent Publication No. 2013-2013). No. 533531).

Further, as a technique related to the above-described service bus, for example, the following Patent Document 6 (Japanese Patent Laid-Open No. 2014-153858) is disclosed.

International Publication No. 2011/010711 JP, 2013-114626, A JP, 2012-079242, A JP, 2006-309701, A Special table 2013-533531 gazette JP, 2014-153858, A

In the CEP system as described above, for example, when the format of data to be transmitted to the system is not fixed, it is difficult to uniformly perform processing on the data. In this case, the CEP system may not be able to process the data at high speed.

Further, in order to process data at high speed, it is conceivable that the CEP system parallelizes (distributes) processing related to data. However, it may be difficult to share information about data among processing elements that execute parallel processing (for example, an arithmetic device or an arithmetic process). In this case, if data to be collectively processed by the same processing element is allocated to different processing elements, the data (event) that should have been detected may be overlooked. As a result, the processing related to the data may not be executed properly. Further, when the processing load (overhead) accompanying the sharing of data is large, the processing related to the data may not be sufficiently speeded up.

When the technique disclosed in Patent Document 1 is adopted, even if the number of dispatch rules set for each dispatcher is reduced, the load on a specific dispatcher may not be dispersed depending on the frequency of occurrence of events that conform to such rules. There is a nature.

Further, the technique disclosed in Patent Document 2 is a technique for controlling the arrangement of queries for each processing device by paying attention to the number of communications between queries and the like. Further, the technique disclosed in Patent Document 3 is a technique for controlling the arrangement of rules for each processing device, focusing on the degree of association between rules (the degree of element association). Further, the technique disclosed in Patent Document 4 is a technique for controlling the arrangement of rules on the processing server by paying attention to the number of rules set for each processing server. That is, none of the techniques disclosed in Patent Documents 2 to 4 directly pay attention to the data to be processed. Therefore, when these techniques are adopted, there is a possibility that data that should be processed by the same processing device will be processed by different processing devices.

The present invention has been made in view of the above circumstances. That is, one of the main objects of the present invention is to provide a data processing system or the like capable of processing communication data received via a communication network in parallel in appropriate units.

In order to achieve the above object, a data processing system according to one aspect of the present invention has the following configuration. That is, a data processing system according to one aspect of the present invention includes a receiving unit that receives one or more data sets from a data generation source via a communication network, information indicating conditions regarding the data sets, and the conditions being met. If one or more rules composed of information indicating the processing to be executed for the data set, the judgment processing for judging whether or not the data set received by the receiving means satisfies the above condition is performed in parallel. An executable parallel execution unit and an allocation unit that allocates one or more data sets received by the reception unit in parallel to the determination process according to the communication path of each data set are provided.

A data processing method according to one aspect of the present invention has the following configuration. That is, in the data processing method according to one aspect of the present invention, an information processing device receives one or more data sets from a data generation source via a communication network, and information indicating a condition regarding the data set and the condition. If one or more rules composed of information indicating the process to be executed on the data set when the above condition is satisfied, the received data is subjected to a determination process for determining whether or not the data set meets the above conditions. It has a configuration to execute in parallel according to a communication path of a set.

Further, the same object is achieved by a computer program that realizes a data processing system having the above configuration and a corresponding data processing method by a computer, and a computer-readable recording medium in which the computer program is stored. Is also achieved.

According to the present invention, data received via a communication network can be processed in parallel in appropriate units.

FIG. 1 is a block diagram illustrating a functional configuration of a CEP system and a service bus system according to the first embodiment of the present invention. FIG. 2 is a block diagram illustrating a functional configuration of the CEP system and the service bus system according to the first embodiment of the present invention. FIG. 3 is an explanatory diagram showing a specific example of data transmitted and received in the service bus system according to the first embodiment of the present invention. FIG. 4 is a flowchart illustrating the operation of the service bus system according to the first embodiment of the present invention. FIG. 5 is a flowchart illustrating the operation of the CEP system according to the first embodiment of the present invention. FIG. 6 is a diagram exemplifying the format of rules held by the CEP system according to the first embodiment of the present invention. FIG. 7 is a diagram illustrating a specific example of rules held by the CEP system according to the first embodiment of the present invention. FIG. 8 is an explanatory diagram showing rules processed by each rule matching process and a communication path of data regarding the rules in the CEP system according to the first embodiment of the present invention. FIG. 9 is an explanatory diagram illustrating a specific example of rules held by the CEP system according to the first modification of the first embodiment of the present invention. FIG. 10 is an explanatory diagram showing rules processed by each rule matching process and a communication path of data relating to the rules in the CEP system according to the modified example 1 of the first exemplary embodiment of the present invention. FIG. 11 is a block diagram illustrating a functional configuration of the data processing system according to the second embodiment of the present invention. FIG. 12 is a diagram exemplifying a CEP system (and a data processing system) according to each embodiment of the present invention, or a hardware configuration capable of realizing the constituent elements thereof.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The configurations described in the following embodiments are merely examples, and the technical scope of the present invention is not limited thereto.

First, prior to the description of each embodiment of the present invention, the technical background and the like of the present invention will be described in order to facilitate understanding of the present invention.

As described above, for example, a service bus may be used as a technique capable of mutually connecting various services provided via a communication network. The service bus mediates the transmission and reception of messages between a plurality of services and realizes cooperation between the services. Assuming that the number of messages and the amount of data (that is, one or more data sets) handled in the service bus are increased, a technology capable of processing these data and messages at high speed (for example, in real time) is required. .. Therefore, in each of the embodiments of the present invention, a technique for coping with an increasing number of messages and data is realized by introducing (applying) the CEP system to the service bus.

Next, the outline of the CEP system (or CEP device) according to each embodiment will be described. The CEP system described in each of the following embodiments is included in the data processing system (or the data processing device) in each of the embodiments of the present invention. The CEP system holds a rule composed of a processing condition (event condition) for data (event) and an action executed when the processing condition is satisfied. Such a rule may be preset in the CEP system by, for example, the administrator of the CEP system.

When receiving the data, the CEP system determines whether the received data satisfies an event condition that constitutes a certain rule. Then, when the CEP system determines that the event condition forming a certain rule is satisfied, the CEP system executes the action set in the rule. Hereinafter, a process in which the CEP system determines (determines) whether or not the received data satisfies an event condition that constitutes a rule is referred to as a rule matching process. The CEP system executes rule matching processing in parallel (distributed) in order to process the received data (event) at high speed. Such parallel processing may be realized, for example, by executing processing (rule matching processing or the like) in parallel using a plurality of arithmetic devices (or arithmetic processing cores forming the arithmetic devices). Further, such parallel processing may be realized, for example, by processing a plurality of processing elements (for example, processes and threads) in parallel in one or more arithmetic devices. In this case, the parallel processing may include pseudo parallel processing (for example, a method of time-divisionally processing a plurality of processing elements, a method of subdividing the processing and assigning the processing elements to arithmetic units, etc.). In each of the following embodiments, parallelization of the rule matching process will be specifically described.

The CEP system and the service bus system in each of the following embodiments can be realized by using one or more dedicated hardware devices or a general-purpose information processing device. The CEP system in each of the following embodiments includes a CEP device as a single device, and the service bus system includes a service bus device as a single device. A hardware configuration (for example, FIG. 12) capable of realizing the CEP system and the service bus system will be described later.

<First Embodiment>
The configurations of the CEP system and the service bus system according to the first embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram illustrating a functional configuration of a CEP system and a service bus system according to this embodiment.

Referring to FIG. 1, the service bus system 100 according to the first embodiment of the present invention is communicatively connected to a data source A (120A) and a service A (160A).

The data source A (120A) is a device or system that transmits various data (events) to the service bus system 100. The data source A (120A) may be, for example, various information processing terminals or various sensors. The data source A (120A), for example, when some event occurs, transmits a message including data (event) regarding the event to the service bus system 100.

The service A (160A) is a device or system capable of providing various services based on the message transmitted from the service bus system 100. Data generated in the data source A (120A) or data processed based on the data may be transmitted to the service A (160A) via the service bus system 100.

The service bus system 100 transmits a message to the destination of the data based on the data received from the source of the data. The message may include the data received from the transmission source of the data, or may include the data processed based on the received data. The service bus system 100 will be described below.

The service bus system 100 roughly includes a data reception unit A (130A), a data exchange unit 140, a data transmission unit A (150A), and a CEP system 110.

The data receiving unit A (130A) receives the message including the data transmitted from the data source A (120A). The data receiving unit A (130A) may, for example, convert the data transmitted from the data generating source A (120A) into data in a common format and pass the data to the data exchanging unit 140. In this case, the common format may be a format defined by using, for example, XML (Extensible Markup Language). The common format is not limited to XML, and an appropriate data format may be adopted.

The data transmission unit A (150A) transmits a message to the service A (160A). The data transmission unit A160, for example, converts the data in the common format passed from the data exchange unit 140 into a unique data format related to the service A (160A), and sends a message including the converted data to the service A (160A). You may send it.

The data exchange unit 140 transfers data between the data receiving unit A (130A) and the data transmitting unit A (150A). The data transferred via the data exchange unit 140 is used for event processing by the CEP system 110 described later, for example. The data exchange unit 140 may provide (notify) the data transferred via the data exchange unit 140 to the CEP system 110 described later. Alternatively, the data exchange unit 140 may temporarily hold the data transferred via the data exchange unit 140 so that the CEP system 110 described later can refer to the data.

The CEP system 110 is an event processing system that executes various event processes based on the data (event) included in the message transmitted from the data source A (120A). As described above, the CEP system 110 may be configured by a single device, or may be configured as a system in which a plurality of devices are combined. Hereinafter, the CEP system 110 will be described.

The CEP system 110 includes a data acquisition unit 111, a control unit 112, an assignment unit 113, a rule matching unit 114, a rule holding unit 115, and a process execution unit 116. These constituent elements of the CEP system are communicably connected by an appropriate communication method (communication line or the like). Hereinafter, these constituent elements constituting the CEP system 110, which are the main constituent elements in the present embodiment, will be described.

The data acquisition unit 111 reads the data transferred via the data exchange unit 140 and transfers the data to the control unit 112. As described above, the data exchange unit 140 may pass the relevant data to the data acquisition unit 111.

The control unit 112 holds the data received from the data acquisition unit 111 and controls the operations of the rule matching unit 114 and the process execution unit 116. The control unit 112 includes an allocation unit 113. The allocating unit 113 executes the process of allocating the data read by the data acquisition unit 111 to the rule matching unit 114 (in particular, the rule matching process (described later) executed in the rule matching unit 114).

The rule matching unit 114 receives the data from the assigning unit 113, and executes the rule matching process based on the content of the data and the rule (in particular, the event condition) held by the rule holding unit 115. More specifically, the rule matching unit 114 has one or more processing elements (matching processing executing means) capable of executing rule matching processing in parallel. The processing element can execute rule matching processing in parallel on the data received from the allocation unit 113. Hereinafter, such a processing element is referred to as a rule matching process.

The rule matching process may be realized, for example, as a software program (computer program) executed in the CEP system 110 (eg, the rule matching unit 114). Further, the rule matching process may be realized by using, for example, an arithmetic device in which an appropriate processing method is incorporated. In the present embodiment, for example, when the service bus system 100 is activated or when the CEP system 110 is activated, the control unit 112 may activate the required number of rule matching processes.

The rule holding unit 115 holds a rule created in advance. The rule holding unit 115 may hold a list of such rules. The rule holding unit 115 can provide the held rule in response to a request from the rule matching unit 114.

The process execution unit 116 is called by the control unit 112 and executes the process (action) set in the rule based on the matching result of the rule matching unit 114.

In the configuration illustrated in FIG. 1 described above, for convenience of explanation, only one data generation source (data generation source A (120A) in FIG. 1) and service (service A (160A) in FIG. 1) are provided. The case where it exists is shown as a specific example. On the other hand, in the present embodiment, as illustrated in FIG. 2, a plurality of data generation sources and a plurality of services exist, and a plurality of data reception units and data transmission units corresponding thereto also exist. The data source and the number of services may be appropriately determined. The service bus system 100 can provide a data receiving unit and a data transmitting unit corresponding to the number of data sources and the number of services, respectively.

Next, the data handled by the service bus system 100 and the CEP system 110 will be described.

The format of data transmitted from each data generation source (for example, 120A to 120C in FIG. 2) to the data receiving unit (for example, 130A to 130C in FIG. 2) is various. Each data receiving unit converts the data received from the data generation source into a common format (for example, XML or the like). As a result, the data transferred via the data exchange unit 140 becomes the data in the common format. As a result, in the service bus system 100 and the CEP system 110, the format of each data (or the message including the data) is standardized. Therefore, in the service bus system 100 and the CEP system 110, it becomes easy to uniformly perform processing on each data.

Additional information used for transmission (communication) in the service bus system 100 is added to each data. The additional information may be added by the data receiving unit 130. As a result, the data exchange unit 140 transmits (passes) a message including information associated with various elements as illustrated in FIG. More specifically, as illustrated in FIG. 3, the message transmitted in the service bus system 100 includes a reception date/time 301, a transmission source 302, a transmission destination 303, and a data body 304. The reception date and time 301 is information that can specify the date and time when the data included in the message was received. The sender 302 is information that can identify the sender of the message. The destination 303 is information that can identify the destination of the message. The data body 304 is information representing the data itself received from the data source. In the specific example illustrated in FIG. 3, the transmission source 302 and the transmission destination 303 respectively have information for identifying the data receiving unit and the data transmitting unit in the service bus system 100 registered therein. For example, the transmission source 302 may be set with information capable of specifying the data generation source, and the transmission destination 303 may be set with information capable of specifying the service.

Next, the rules in this embodiment will be described with reference to FIGS. 6 and 7. The rule held by the rule holding unit 115 is composed of a set (combination) of event conditions and actions, as illustrated in FIG. 6, for example. A plurality of event conditions and actions may be set for a certain rule.

When all the conditions set in the event condition that configure a certain rule are satisfied, the action corresponding to the event condition is executed. Specifically, when the rule matching unit 114 (particularly, the rule matching process) determines that all the event conditions forming a certain rule are satisfied, the process executing unit 116 executes an action corresponding to the event condition. ..

For example, in the “rule A” illustrated in FIG. 6, three conditions (“event A1” to “event A3”) are set as event conditions, and “action A1” is set as an action. In this case, when the rule matching process in the rule matching unit 114 determines that “event A1” to “event A3” have been established, the process execution unit 116 executes “action A1”.

FIG. 7 is a diagram showing a specific example of the rule in this embodiment. The specific example shown in FIG. 7 represents rules (rule A and rule B) in which, when the data illustrated in FIG. 3 is transmitted in the data exchange unit 140, the collation process for the data is executed. As in the specific example shown in FIG. 7, conditions relating to the content of data obtained from the data exchange unit 140, the transmission source, the transmission destination, the date and time, etc. are set in the event condition. In the action, processing such as data transmission processing and operation operation for the service bus is set. The event conditions and actions that make up the rule may be described in an appropriate format that allows machine processing.

Next, operations of the service bus system 100 and the CEP system 110 according to the present embodiment configured as described above will be described.

First, the flow of data (message) regarding the service bus system 100 will be described with reference to the flowchart illustrated in FIG. FIG. 4 is a flowchart showing a process regarding the flow of data between the data source A (120A) and the service A (160A).

Whenever an event occurs in the data source A (120A), the data source A (120A) transmits data (event) related to the event to the data receiving unit A (130A) (step S401).

The data receiving unit A (130A) receives the data (step S402).

The data receiving unit A (130A) converts the received data into a common format such as XML and passes the converted data to the data exchange unit 140 (step S403).

The data exchange section 140 passes the data passed from the data receiving section A (130A) to the data transmitting section A (150A) (step S404). At this time, the data exchange unit 140 may notify the data acquisition unit 111 of the data, as described later, or temporarily retain the data so that the data acquisition unit 111 can read the data. Good. It should be noted that the data exchange section 140 may perform some kind of processing on the data received from the data receiving section A (130A).

When the data transmission unit A (150A) receives the data from the data exchange unit 140, it converts the data from a common data format such as XML into a unique data format for each service (for example, the service A (160A)). Then, the data transmission unit A (150A) transmits the data to the service A (160A) (step S405).

Next, data processing in the CEP system 110 will be described using the flowchart illustrated in FIG.

First, the data acquisition unit 111 reads the data transferred via the data exchange unit 140 (step S501).

The data acquisition unit 111 passes the read data to the control unit 112 (step S502). At this time, the control unit 112 may pass the data passed from the data acquisition unit 111 to the assignment unit 113.

The allocation unit 113 in the control unit 112 determines the allocation destination of the data based on the content of the received data (step S503). At this time, the assigning unit 113 determines a process for executing the matching process of the rule regarding the data from the rule matching processes executed in parallel by the rule matching unit 114. The allocation unit 113 passes (allocates) data to the corresponding rule matching process.

More specifically, the allocation unit 113 confirms the communication path of the data passed from the data acquisition unit 111. When the data is represented in a common format as illustrated in FIG. 3, for example, the allocation unit 113 confirms the information of the transmission source 302 and the transmission destination 303 as the communication path of the data. Then, the allocation unit 113 allocates the data to the rule matching unit process specified based on the communication path of the data.

In the rule matching process in the rule matching unit 114, the rule matching process is performed on the data received from the control unit 112 (specifically, the assigning unit 113) (step S504). The rule matching process confirms whether or not the content of the data received from the assigning unit 113 corresponds to any of the rules stored in the rule holding unit 115. More specifically, the rule matching process may, for example, check the content of the data received from the control unit 112 and check whether the data satisfies the event condition set in each rule.

If there is no rule applied to the data received from the control unit 112 (NO in step S505), the rule matching process does not perform further processing. In this case, the process returns to step S501, and the data acquisition unit 111 processes the next data.

When there is a rule applied to the data received from the control unit 112 (YES in step S505), the rule matching unit 114 (rule matching process) notifies the control unit 112 of the result of the rule matching process. Yes (step S506). More specifically, when the rule matching process determines that a certain data satisfies the event condition for a specific rule, the rule matching unit 114 may notify the control unit 112 of the determination result. When a plurality of event conditions are set for a certain rule, the rule matching unit 114 may notify the control unit 112 of the determination result when all the event conditions are satisfied. In addition, the rule matching unit 114 may notify the determination result to the control unit 112 when some event conditions are satisfied. The rule matching unit 114 may hold, for each rule, information indicating whether or not the event condition set in the rule is satisfied, as an intermediate state.

Next, the control unit 112 calls the process execution unit 116 so as to execute the process (action) set in the rule (step S507).

The process execution unit 116 executes the process (action) set in the rule according to the instruction from the control unit 112 (step S508).

The processes illustrated in steps S504 to S506 in the above-described flowchart are processed in parallel by the rule matching unit 114 by one or more rule matching processes. That is, the CEP system 110 (particularly the control unit 112) speeds up (distributes) the process by parallelizing the rule matching process in the rule matching unit 114. Hereinafter, parallel processing in the rule matching unit 114 will be described.

As described above, when the rule matching process executes the rule matching process, it is determined whether or not the event condition forming each rule is satisfied. In this case, the assigning unit 113 assigns to the rule matching process data (hereinafter, referred to as “data regarding success or failure of event condition”) used when determining whether or not the event condition is satisfied. It is assumed that the assigning unit 113 assigns data to be collectively processed when determining the success or failure of an event condition forming a rule to each rule matching process. In this case, each rule matching process can efficiently execute the rule matching process for the rule. This is because this allows a plurality of rule matching processes to individually execute the rule matching process using the assigned data. That is, the rule matching process is executed in parallel by the plurality of rule matching processes.

The assigning unit 113 reads the rule held in the rule holding unit 115 and analyzes the content (in particular, the event condition of each rule). This rule analysis process may be performed when the control unit 112 is activated. In the event condition, a condition regarding data that is the target of the rule matching process is set. The event condition includes information that can determine the communication path through which the data flows (is transmitted). The allocating unit 113 analyzes the event condition to confirm the data communication path used when determining whether or not the event condition is satisfied. With this, when the rule matching process executes the rule matching process, the assigning unit 113 can determine the data that should be collectively processed according to the communication path of the data.

The rule matching process will be described using the specific example shown in FIG. 7. For example, referring to the event condition of rule A (701 in FIG. 7), both the event A1 and the event A2 are conditions related to the data transmitted from the data receiving unit A (130A) to the data transmitting unit A (150A). From this, the rule matching process can execute the rule matching process related to the rule A if the data flowing (transmitted) through the path from the data receiving unit A (130A) to the data transmitting unit A (150A) can be acquired.

Similarly, rule B (702 in FIG. 7) is a condition regarding data flowing through the path from the data receiving unit B to the data transmitting unit B. As a result, the rule matching process can execute the rule matching process for the rule B if the data flowing through the path from the data receiving unit B to the data transmitting unit B can be acquired.

In the specific example illustrated in FIG. 7, rules other than the rule A and the rule B are not set. From this, the control unit 112 (allocation unit 113) can determine that the rule matching process is not performed on the data flowing through the other communication paths.

Therefore, as illustrated in FIG. 8, the control unit 112 prepares a rule matching process 1 that performs a rule matching process regarding rule A and a rule matching process 2 that performs a rule matching process regarding rule B. That is, the control unit 112 (specifically, the assignment unit 113) prepares a rule matching process that processes each rule based on the analysis result of the event condition that configures each rule. In this case, the control unit 112 (assignment unit 113) may prepare (generate) two rule matching processes, or the rule matching unit 114 may prepare (generate) two rule matching processes.

More specifically, the allocating unit 113 prepares a rule matching process for processing each rule based on the communication path of the data regarding the success or failure of the event condition that constitutes each rule. In this case, each rule matching process may be able to execute the matching process for each rule held in the rule holding unit 115. Further, one rule matching process may be able to execute the rule matching process regarding a plurality of rules. Note that a predetermined number of rule matching processes may be prepared in advance, for example, when the CEP system 110 is activated.

Since the number of rules to be processed by one rule matching process is substantially reduced by the above processing, each rule matching process can perform matching processing at high speed. For example, in the specific examples illustrated in FIGS. 7 and 8, the rule matching process 1 and the rule matching process 2 may each execute the matching process for one rule. In this case, each rule matching process halves the number of rules to be processed as compared with the case of processing both rule A and rule B.

For example, the assigning unit 113 may explicitly specify a rule for which each rule matching process should perform matching processing for the prepared rule matching process. Further, the allocation unit 113 may substantially specify the rule to be executed by the rule matching process by controlling the data to be passed (allocated) to each rule matching process.

In the specific example shown in FIG. 7 and FIG. 8, the assigning unit 113, for example, processes the data transmitted from the data receiving unit A (130A) to the data transmitting unit A (150A) with a specific rule matching process (for example, rule matching). It may be passed to process 1). Accordingly, the assigning unit 113 can substantially control the rule matching process so that the rule matching process regarding the rule A is executed. Similarly, the allocating unit 113 may pass the data transmitted from the data receiving unit B to the data transmitting unit B to another rule matching process (for example, the rule matching process 2). As a result, the assigning unit 113 can substantially control the other rule matching process so as to execute the rule matching process regarding the rule B.

Next, the process in which the allocation unit 113 allocates the data passed from the data acquisition unit 111 will be described in detail. The allocation unit 113 allocates the data to the rule matching process based on the communication path of the data passed from the data acquisition unit 111 (step S503). In other words, the allocation unit 113 allocates the data regarding the success or failure of the event condition to the rule matching process according to the communication path of the data.

More specifically, the allocating unit 113 analyzes the above-mentioned rule to confirm the data communication path used when determining the success or failure of the event condition forming the rule. Then, when the data is passed from the data acquisition unit 111, the allocation unit 113 compares the communication route of the passed data with the communication route of the data set in the event condition. If the comparison results are equal, the allocating unit 113 passes (allocates) the data passed from the data acquisition unit 111 to the rule matching process associated with the rule configured by the event condition. It should be noted that, as a result of the comparison, the allocating unit 113 also performs the same processing as above even when the data communication path set in the event condition forming a certain rule includes the data communication path passed from the data acquisition unit 111. Good as

Through the processing described above, the assigning unit 113 can cause a certain rule matching process to execute the rule matching process for a specific rule. Further, in the rule matching process, the data matching process is executed just enough.

Here, it is assumed that one rule is assigned to a plurality of rule matching processes. In such a situation, multiple rule matching processes may simultaneously (or almost simultaneously) determine the success or failure of event conditions for the same rule. In this case, actions may be duplicated and executed. In order to avoid such a situation, the control unit 112 (assignment unit 113) may prepare a rule matching process so that the same rule is not assigned to a plurality of rule matching processes in duplicate. Further, the control unit 112 (assignment unit 113) may perform control so that rule matching processing regarding the same rule is not allocated to different rule matching processes.

Next, the effect of the CEP system 110 according to this embodiment will be described.

The CEP system 110 according to the present embodiment configured as described above can parallelize the rule matching processing. Further, the CEP system 110 can appropriately determine the data to be allocated to the processing element that executes the rule matching process (for example, the rule matching process in the rule matching unit 114), and can speed up the process while maintaining the accuracy of the rule matching process. Is. The reason is that the CEP system 110 analyzes the content of the set rule (for example, an event condition) and the data communication path in the service bus system 100, so that the processing elements that execute the rule matching process collectively. This is because the data to be processed can be determined. This avoids a situation in which data to be collectively processed is distributed and allocated to a plurality of processing elements. From this, each processing element can execute the rule matching processing independently of the other processing elements. That is, since there is no overhead for sharing data between the processing elements, each processing element can efficiently execute the rule matching process. Further, as described above, since the number of rules to be processed by each processing element (the number of rules assigned to each processing element) is reduced, each processing element can execute rule matching processing at high speed. Further, according to this embodiment, data used for a certain rule matching process is not distributed and assigned to different processing elements. That is, the rule matching process regarding the same rule is not duplicated in different processing elements. Therefore, the CEP system 110 can speed up the processing while maintaining the accuracy of the rule matching processing.

In the CEP system 110 configured as described above, since the format of input data is made common, uniform data processing is possible. The reason is that when the CEP system 110 is introduced (applied) to the service bus system 100, data in a common data format flowing on the service bus is input to the CEP system 110.

As described above, according to the CEP system 110 in this embodiment, the communication data is processed in parallel in appropriate units based on the information about the data received via the communication network (for example, the information about the communication path of the data). It is possible.

<Modification 1 of the first embodiment>
Next, a first modified example (hereinafter referred to as a modified example 1) of the above-described first embodiment of the present invention will be described. The system configuration itself of the first modification may be the same as that of the first embodiment, and the operation is different as described below. Therefore, detailed description of the system configuration of the first modification is omitted.

The allocation unit 113 in the first modification differs from the first embodiment in the processing configuration for allocating data to each rule matching process so that the same data is redundantly processed in a plurality of rule matching processes as necessary. To do. Hereinafter, the difference will be mainly described with reference to specific examples illustrated in FIGS. 9 and 10.

FIG. 9 is a diagram showing a specific example of a rule different from that in FIG. In the specific example shown in FIG. 9, four rules A to D are set in the rule holding unit 115. The event conditions forming the rules A, B, and D include conditions regarding data flowing through the communication path from the data receiving unit A to the data transmitting unit A. In addition, the event condition forming the rule C includes a condition regarding data flowing through the path from the data receiving unit A to all the data transmitting units. As a result, in the rule matching process relating to any of the rules A to D, it is necessary to acquire the data flowing through the communication path from the data receiving unit A to the data transmitting unit A. In other words, in this case, the data flowing through the communication path from the data receiving unit A to the data transmitting unit A is matched with all the rules.

In such a situation, when the assigning unit 113 executes, for example, the same process as the rule illustrated in FIG. 7 in the first embodiment, the rule matching process for all rules is executed in one rule matching process. There is a possibility that it will end up. In this case, there is a problem that parallelization of rule matching processing does not function effectively. More specifically, in the specific example illustrated in FIG. 7, the rule A and the rule B have different communication paths for data regarding the success or failure of the event condition. Therefore, the assigning unit 113 can pass the data transmitted on each communication path to different rule matching processes. As a result, each rule matching process can separately (in parallel) execute the rule matching process concerning the rule A or the rule B.

On the other hand, in the specific example illustrated in FIG. 9, the data flowing through the communication path from the data receiving unit A to the data transmitting unit A is commonly used for the rule matching process regarding all the rules. Therefore, the allocation unit 113 needs to pass the data to all rule matching processes. When the data flowing through the communication path from the data receiving unit A to the data transmitting unit A is passed from the allocating unit 113, each rule matching process determines whether or not the event conditions forming the rules A to D are satisfied. May be executed. In this case, as a result, the processing in each rule matching process is duplicated, and thus the parallelization of the rule matching process may not function effectively.

On the other hand, in the allocating unit 113 according to the first modification, parallelization of rule matching processing is effective even in a situation in which certain data is commonly used in a plurality of rule matching processing (eg, FIG. 9). Adjust the allocation of data for each rule matching process to work. More specifically, the assigning unit 113 in the first modification allows a plurality of rule matching processes to duplicately process specific data. Hereinafter, the operation of the allocation unit 113 in the first modification will be described using a specific example shown in FIG.

In the specific example shown in FIG. 9, handling of data flowing through the communication path from the data receiving unit A to the data transmitting unit A becomes a problem. Therefore, the assigning unit 113 according to the first modification allows a plurality of rule matching processes to process the data flowing through the communication path in an overlapping manner. When such duplication processing is allowed, as illustrated in FIG. 10, rules for which rule matching processing is executed for each rule matching process and communication paths of data used in the rule matching processing are arranged.

More specifically, in the rule matching process regarding the rule A, "data transmitted from the data receiving unit A to the data transmitting unit A" and "data transmitted from the data receiving unit B to all data transmitting units". Is used.

In the rule matching process regarding the rule B, “data transmitted from the data receiving unit A to the data transmitting unit A” is used.

In the rule matching process regarding rule C, "data transmitted from data receiving unit B to data transmitting unit B" and "data transmitted from data receiving unit A to all data transmitting units" are used.

In the rule matching process regarding the rule D, “data transmitted from the data receiving unit A to the data transmitting unit A” is used.

From this, the rule collating process regarding the rule A and the rule B is performed by "data transmitted from the data receiving unit A to the data transmitting unit A" and "data transmitted from the data receiving unit B to all data transmitting units". It is feasible if there is ". These data are the logical sum of the data required for the rule matching process for each rule (rule A, rule B).

Furthermore, the rule matching process regarding the rule C and the rule D is performed by "data transmitted from the data receiving unit A to all data transmitting units" and "data transmitted from the data receiving unit B to the data transmitting unit B". If there is, it is feasible. These data are the logical sum of the data required for the rule matching process for each rule (rule C, rule D).

The assigning unit 113 in Modification 1 obtains the analysis result as described above, for example, by analyzing the rule (in particular, the event condition) illustrated in FIG. 9. The assigning unit 113 prepares two rule matching processes as illustrated in FIG. 10 based on the analysis result. In this case, the allocation unit 113 passes the data necessary for the rule matching process regarding the rule A and the rule B to the rule matching process 1 (1001 in FIG. 10). Further, the allocation unit 113 passes the data necessary for the rule matching process regarding the rules C and D to the rule matching process 2 (1002 in FIG. 10). That is, the "data transmitted from the data receiving unit A to the data transmitting unit A" is passed to the above two rule matching processes and processed in duplicate in each of them.

By such processing, the assigning unit 113 performs the rule matching process 1 (1001 in FIG. 10) that processes the rules A and B, and the rule matching process 2 (1002 in FIG. 10) that processes the rules C and D. It is possible to parallelize processing. As a result, the number of rules per process is reduced to 2 with respect to the total number of rules of 4, so that each rule matching process can be processed at high speed.

As described above, the assigning unit 113 according to the first modification converts the data commonly used in the rule matching process regarding a plurality of rules (hereinafter sometimes referred to as first data) to the matching process regarding those rules. It is passed to all rule matching processing processes that execute. In addition, the assigning unit 113 in the first modification passes the data used only for the rule matching processing regarding a certain specific rule (hereinafter, may be referred to as second data) only to the specific rule matching processing process.

The allocation unit 113 in the first modification controls the allocation of the first data and the second data to each rule matching process, thereby substantially designating the rule to be executed by each rule matching process. It is possible. As a result, the rule matching processes can execute the rule matching processes for different rules in parallel.

Here, if the allocating unit 113 allows endlessly duplicated data to be processed, it is assumed that the same number of rule matching processes as the number of rules will be prepared, and resource usage efficiency will decrease. Therefore, the maximum number of rule matching processes that can be prepared by the allocating unit 113 may be determined in advance, and the number of processes may not be created (prepared) beyond that number. The specific example illustrated in FIG. 10 corresponds to a specific example in which the maximum number of processes is “2”.

The CEP system 110 according to the first modified example configured as described above, when a certain data is used for a plurality of rule matching processes, passes (assigns) the data to a plurality of rule matching processes in an overlapping manner. As a result, the CEP system 110 according to the first modification can substantially control the rules assigned to the rule matching processes, and the rule matching processes execute the rule matching processing regarding the assigned rules in parallel. It is possible. Further, the CEP system 110 according to the present modification 1 has the same configuration as that of the first embodiment described above, and therefore has the same effect as that of the first embodiment described above.

<Other Modifications of First Embodiment>
As a modified example of the first embodiment, the following configurations are also included in the embodiment of the present invention.

First, in the first embodiment, the rule matching process is executed in the rule matching unit 114 that constitutes the CEP system 110. That is, in the first embodiment, the rule matching process is executed in, for example, the device configuring the rule matching unit 114 (or the device configuring the CEP system 110 or the service bus system 100). Without being limited to the above, the rule matching process may be executed by distributed processing using a plurality of devices. In this case, the multiple devices that perform the rule matching process may be located outside of the service bus system 100.

Further, in the first embodiment, as a specific example, one-way data transmitted from a data generation source (for example, data generation source A (120A)) to a service (for example, service A (160A)) is illustrated. Has been done. Without being limited to the above, each of the above-described embodiments and modifications can be applied to the case where bidirectional data is processed by configuring the data receiving unit and the data transmitting unit as data transmitting/receiving units.

<Second Embodiment>
Next, a data processing system according to the second embodiment of the present invention will be described. The data processing system in the present embodiment corresponds to, for example, the CEP system 110 in each of the above-described embodiments and its modifications.

The data processing system according to the present embodiment may be configured as a data processing device using one hardware device or may be configured as a system using a plurality of hardware devices, as in the above embodiments. Good. The hardware device may be a physical device or a virtual device realized by using a well-known virtualization platform.

Next, the configuration of the data processing system in this embodiment will be described with reference to FIG. FIG. 11 is a block diagram illustrating a functional configuration of the data processing system 1100 according to the second embodiment of the present invention.

As illustrated in FIG. 11, the data processing system 1100 according to this embodiment includes a reception unit 1101, a parallel execution unit 1102, and an allocation unit 1103. These constituent elements of the data processing system 1100 are communicatively connected to each other using an appropriate communication method. Hereinafter, each component will be described.

The reception unit 1101 (reception means) receives data from a data generation source (not shown) via a communication network. The source of such data may be, for example, various information processing terminals, sensors, or the like. Further, such data may be notified as an event representing various events that have occurred in the source of the data. The receiving unit 1101 may be the same as the data receiving unit (for example, the data receiving unit A (130A)) in each of the above-described embodiments. In addition, a service bus may be provided by the service bus system 100 described in each of the above embodiments using the communication network.

The parallel execution unit 1102 (parallel execution unit) executes in parallel a determination process for determining whether or not the data received by the reception unit 1101 satisfies a rule (particularly, a condition forming a rule described later). The rule is composed of, for example, information indicating a condition regarding the received data and information indicating a process executed on the data when the condition is satisfied. The parallel execution unit 1102 may be the same as the rule matching unit 114 in each of the above embodiments. Further, the determination process executed in parallel in the parallel execution unit 1102 may be the same as the rule verification process executed in parallel by a plurality of rule verification processes in each of the above embodiments.

The allocating unit 1103 (allocating unit) allocates (sets) one or more data received by the receiving unit 1101 in parallel to the determination process executed by the parallel executing unit 1102 according to the communication path of each data. ). The assigning unit 1103 may be the same as the assigning unit 113 in each of the above embodiments.

The data processing system 1100 configured as described above is capable of executing in parallel a process of determining whether or not the received data satisfies a rule (particularly, a condition forming the rule). As a result, the data processing system 1100 can speed up the determination process. Further, in the data processing system 1100, the data used in the determination processing is appropriately assigned to the determination processing executed in parallel. This is because the data processing system can allocate the data to be collectively processed in each determination process to each determination process based on the communication path of the received data.

As described above, according to the data processing system 1100 of the present embodiment, based on the information regarding the data received via the communication network (for example, the information regarding the communication route of the data), the communication data are parallelized in appropriate units. It can be processed.

<Structure of hardware and software program (computer program)>
Hereinafter, a hardware configuration capable of realizing each of the above-described embodiments will be described.

In the following description, the CEP system (or data processing system) (110, 1100) described in each of the above embodiments will be simply referred to as "data processing system". Also, each component of the data processing system is simply referred to as "component of the data processing system".

The data processing system described in each of the above embodiments may be configured by one or a plurality of dedicated hardware devices. In that case, each component shown in each of the above drawings may be realized as hardware in which a part or all is integrated (an integrated circuit in which a processing logic is mounted).

For example, when the data processing system is realized by hardware, the constituent elements of the data processing system may be implemented by an SoC (System on a Chip) or the like, which is an integrated circuit capable of providing each function. In this case, for example, the data held by the components of the data processing system may be stored in a RAM (Random Access Memory) area or a flash memory area integrated as the SoC.

Further, in this case, a well-known communication bus may be adopted as a communication line connecting each component of the data processing system. Further, the communication line connecting each component is not limited to the bus connection, and each component may be connected peer-to-peer. When the data processing system is configured by a plurality of hardware devices, the respective hardware devices may be communicably connected by an appropriate communication method (wired, wireless, or a combination thereof).

The data processing system described above may be configured by general-purpose hardware as illustrated in FIG. 12 and various software programs (computer programs) executed by the hardware. In this case, the data processing system may be configured with a suitable number of hardware devices and software programs.

The arithmetic device 1201 in FIG. 12 is an arithmetic processing device such as a general-purpose CPU (Central Processing Unit) or a microprocessor. The arithmetic device 1201 may read various software programs stored in a nonvolatile storage device 1203, which will be described later, into the storage device 1202, and execute processing in accordance with the software programs. For example, the components of the data processing system in each of the above embodiments can be realized as a software program executed by the arithmetic device 1201.

The storage device 1202 is a memory device such as a RAM that can be referred to by the arithmetic device 1201 and stores software programs and various data. The storage device 1202 may be a volatile memory device.

The non-volatile storage device 1203 is a non-volatile storage device such as a magnetic disk drive or a semiconductor storage device using a flash memory. The non-volatile storage device 1203 can store various software programs, data, and the like.

The network interface 1206 is an interface device that connects to a communication network, and may be, for example, a wired or wireless LAN (Local Area Network) connection interface device.

The drive device 1204 is, for example, a device that processes reading and writing of data on a recording medium 1205 described later.

The recording medium 1205 is various recording media capable of recording data, such as an optical disc, a magneto-optical disc, and a semiconductor flash memory.

The input/output interface 1207 is a device that controls input/output with an external device.

The data processing system according to the present invention described in each of the above-described embodiments as an example supplies a software program capable of realizing the functions described in the above-described embodiments to the hardware device illustrated in FIG. 12, for example. It may be realized by More specifically, the present invention may be realized by, for example, the arithmetic device 1201 executing a software program supplied to such a device. In this case, an operating system running on the hardware device, middleware such as database management software, network software, or the like may execute a part of each processing.

In this case, the rule matching process executed by the rule matching unit 114 can be realized as a software program such as a process, thread, task, etc. that can be processed in parallel by the computing device 1201.

In each of the above-described embodiments, each unit illustrated in each of the drawings (for example, FIGS. 1, 2, and 11) is a software (function) unit of a software program executed by the hardware described above. It can be implemented as a module. However, the division of each software module illustrated in these drawings is a configuration for convenience of description, and various configurations can be assumed when mounting.

For example, when the above units are implemented as software modules, these software modules may be stored in the non-volatile storage device 1203. Then, the arithmetic device 1201 may read these software modules into the storage device 1202 when executing the respective processes.

Further, between these software modules, various data may be mutually transmitted by an appropriate method such as shared memory or interprocess communication. With such a configuration, these software modules can be communicably connected to each other.

Further, each of the above software programs may be recorded in the recording medium 1205. In this case, the respective software programs may be configured to be stored in the nonvolatile storage device 1203 through the drive device 1204 at the shipping stage or the operating stage of the communication device or the like.

In the above case, the method of supplying various software programs to the data processing system is to install the software in the device by using an appropriate jig at the manufacturing stage before shipment or the maintenance stage after shipment. The method of doing may be adopted. In addition, as a method of supplying various software programs, a general procedure may be adopted at present, such as a method of downloading from the outside through a communication line such as the Internet.

Then, in such a case, the present invention can be considered to be configured by a code that constitutes the software program or a computer-readable recording medium in which the code is recorded. In this case, the recording medium is not limited to a medium independent of the hardware device, but includes a storage medium in which a software program transmitted via a LAN, the Internet, etc. is downloaded and stored or temporarily stored.

Further, the data processing system described above, or the constituent elements of the data processing system, includes a virtualized environment in which the hardware device illustrated in FIG. 12 is virtualized, and various software programs (computers executed in the virtualized environment.・Program) and In this case, the components of the hardware device illustrated in FIG. 12 are provided as virtual devices in the virtualization environment. In this case as well, the present invention can be implemented with the same configuration as that when the hardware device illustrated in FIG. 12 is configured as a physical device.

The present invention has been described above as an example applied to the exemplary embodiment described above. However, the technical scope of the present invention is not limited to the scope described in each of the above-described embodiments. It is obvious to those skilled in the art that various modifications and improvements can be added to the embodiment. In such a case, new embodiments with such changes or improvements may be included in the technical scope of the present invention. Furthermore, each of the above-described embodiments or an embodiment in which a new embodiment with such changes or improvements is combined is also included in the technical scope of the present invention. And this is clear from the matters described in the claims. That is, the present invention can apply various aspects that can be understood by those skilled in the art within the scope of the present invention.

This application claims the priority on the basis of Japanese application Japanese Patent Application No. 2015-021862 for which it applied on February 6, 2015, and takes in those the indications of all here.

100 Service Bus System 110 CEP System 111 Data Acquisition Unit 112 Control Unit 113 Assignment Unit 114 Rule Matching Unit 115 Rule Holding Unit 116 Process Execution Unit 120A Data Source A
130A Data receiving section A
140 data exchange unit 150A data transmission unit A
160A Service A
1100 Data Processing Device 1101 Reception Unit 1102 Parallel Execution Unit 1103 Allocation Unit 1201 Arithmetic Device 1202 Storage Device 1203 Nonvolatile Storage Device 1204 Drive Device 1205 Recording Medium 1206 Network Interface 1207 Input/Output Interface

Claims (5)

Receiving means for receiving one or more data sets from a data source via a communication network;
For one or more rules including information indicating a condition regarding the data set and information indicating a process executed for the data set when the condition is satisfied, the data set received by the receiving unit satisfies the condition. Parallel execution means capable of executing the determination process in parallel to determine whether or not to satisfy,
Allocation means for allocating one or more of the data sets received by the reception means in parallel to the determination processing according to a communication path of each of the data sets ,
The information indicating the condition includes information indicating a communication path regarding the data set used when determining whether or not the condition is satisfied,
The assigning means, for each of the one or more rules, a communication path represented by the information representing the communication path included in the information representing the condition forming the rule, and the data set received by the receiving means. Is determined based on the result of comparison with the communication path through which the data set received by the receiving means is assigned,
The assigning means is
As a result of the comparison, a communication path represented by information representing the communication path included in the information representing the condition forming the specific rule, and a communication path through which the data set received by the receiving unit flows If they are equal, or
As a result of the comparison, the communication path represented by the information representing the communication path included in the information representing the condition forming the specific rule includes a communication path through which the data set received by the receiving unit flows. If
Assigning the data set received by the receiving means to the determination process relating to the specific rule,
A service bus capable of transmitting and receiving messages is formed using the communication network,
Further comprising one or more transmitting means for transmitting a message to a message destination via the service bus,
The receiving unit receives a message including the data set from a message transmission source that is a generation source of the data via the service bus,
The transmitting means transmits a message according to the processing executed on the data set based on the rule to the message destination,
The assigning means is
The communication path of the data set is specified based on the information indicating the receiving means and the information indicating the transmitting means, which is included in the information indicating the communication path, or
Included in the information indicating the communication path, the communication path of the data set is specified based on the information indicating the message transmission source and the information indicating the message transmission destination,
The parallel execution unit includes at least one collation process execution unit capable of executing the determination process relating to at least one of the rules, and executes the collation process execution units in parallel,
The allocating means allocates the data sets included in the message in parallel to the collation processing executing means according to a communication path of each of the data sets identified based on the message,
The receiving means converts the message received from the message transmission source into a common format including at least information capable of specifying a communication path of a data set included in the message,
The transmission means converts a message to be transmitted to the message destination from the common format to a unique format according to the destination of each message, and transmits the converted message to each of the messages. Data processing system to send first . The assigning unit duplicates the first data set, which is the data set commonly used in the determination process regarding the plurality of rules, with the matching process execution unit that executes the determination process regarding the plurality of rules, respectively. The data processing system according to claim 1 , wherein The assigning unit performs the matching process for executing the determination process regarding the individual rule, with respect to the second data set that is the data set used only for the determination process regarding the individual rule among the plurality of rules. Assigned only to execution means,
The matching process executing means, said rule using said first data set, according to claim 2 for performing the determination processing for a plurality of said rules including at least said rule, the use of the second data set Data processing system. The information processing device
The receiving means receives one or more data sets from the source of the data via the communication network,
Determining information representative of the condition relating to the data set for one or more rules including information indicating a process in which the conditions are performed on the data set when a condition is satisfied, whether the data set satisfies the condition run the determination process in parallel,
Assigning the received one or more data sets in parallel to the determination process according to the communication path of each data set,
The information indicating the condition includes information indicating a communication path regarding the data set used when determining whether or not the condition is satisfied,
The information processing device,
The result of comparing, for each of the one or more rules, the communication path represented by the information representing the communication path included in the information representing the condition forming the rule with the communication path through which the received data set flows. Determining the decision process to which the received data set is assigned,
As a result of the comparison, if the communication path represented by the information representing the communication path included in the information representing the condition configuring the specific rule and the communication path through which the received data set flows are the same, or Or
As a result of the comparison, when the communication path represented by the information representing the communication path included in the information representing the condition configuring the specific rule includes a communication path through which the received data set flows,
Assigning the received data set to the decision process for the particular rule.
A service bus capable of transmitting and receiving messages is formed using the communication network,
The information processing device,
Sending a message to a message destination via the service bus by one or more sending means,
Receiving a message including the data set from a message source that is a source of the data via the service bus;
Sending a message according to the processing performed on the data set based on the rule to the message destination,
The communication path of the data set is specified based on the information indicating the receiving means and the information indicating the transmitting means, which is included in the information indicating the communication path, or
Included in the information indicating the communication path, the communication path of the data set is specified based on the information indicating the message transmission source and the information indicating the message transmission destination,
Performing one or more of the determination processes relating to at least one or more of the rules in parallel,
The data set included in the message is allocated in parallel to the determination processing according to the communication path of each of the data sets identified based on the message,
Converting a message received from the message source into a common format including at least information capable of specifying a communication path of a data set included in the message,
Data for converting a message to be transmitted to the message destination from the common format to a unique format according to the destination of each of the messages, and transmitting the converted message to the destination of each of the messages Processing method. A receiving process for receiving one or more data sets from a data source via a communication network,
Determining information representative of the condition relating to the data set for one or more rules including information indicating a process in which the conditions are performed on the data set when a condition is satisfied, whether the data set satisfies the condition a parallel execution process that executes the determination processing in parallel,
An allocation process that allocates one or more data sets received by the reception process in parallel to the determination process according to a communication path of each data set;
And causing the computer to execute , the information representing the condition includes information representing a communication path relating to the data set used in determining whether or not the condition is satisfied,
The assigning process includes, for each of the one or more rules, a communication route represented by information indicating the communication route included in the information indicating the condition forming the rule, and the data set received in the receiving process. Based on the result of comparison with the communication path through which the determination process to which the data set received in the reception process is assigned is determined,
The allocation process is
As a result of the comparison, a communication path represented by information representing the communication path included in the information representing the condition forming the specific rule, and a communication path through which the data set received in the reception process flows. If they are equal, or
As a result of the comparison, the communication path represented by the information representing the communication path included in the information representing the condition forming the specific rule includes a communication path through which the data set received in the reception process flows. If
Assigning the data set received in the reception process to the determination process relating to the specific rule,
A service bus capable of transmitting and receiving messages is formed using the communication network,
Causing the computer to further execute one or more transmission processes for transmitting a message to a message destination via the service bus,
The reception processing receives a message including the data set from a message transmission source that is a generation source of the data via the service bus,
The transmission process transmits a message according to the process executed on the data set based on the rule to the message destination,
The allocation process is
The communication path of the data set is specified based on information indicating the reception processing and information indicating the transmission processing, which is included in the information indicating the communication path, or
Included in the information indicating the communication path, the communication path of the data set is specified based on the information indicating the message transmission source and the information indicating the message transmission destination,
The parallel execution process includes one or more collation process execution processes capable of executing the determination process relating to at least one of the rules, and executes the collation process execution processes in parallel,
The allocation process allocates the data set included in the message in parallel to the collation process execution process according to a communication path of each data set identified based on the message,
The reception processing converts a message received from the message transmission source into a common format including at least information capable of specifying a communication path of a data set included in the message,
The transmission process, the message to be transmitted to the message destination is converted from the common format to a unique format corresponding to the destination of each message, and the converted message is transmitted to each of the message destinations. Computer program to send to .

Images