JP7230381B2 - Computer system, parameter setting device, method and program - Google Patents

Description

The present disclosure relates to computer systems, parameter setting devices, methods, and programs, and more particularly to computer systems that operate services on servers, and parameter setting devices, methods, and programs used in such computer systems.

Containers used in OS (Operating System) level virtualization technology are known. A container is an application that runs in an isolated user space. The software that implements a container is called a container runtime. As container runtimes, for example, Docker provided by Docker, rkt provided by CoreOS, etc. are known.

In addition to running applications in an isolated user space, container runtimes can attach virtual file systems, virtual networks, etc. to containers, making them appear as if they were a single machine. A file in which a virtual file system used by a container and setting information necessary for executing the container (for example, information for setting a virtual network, etc.) is collectively called a container image. As a related technique, Patent Literature 1 discloses a device for distributing container images.

As another related technique, Patent Literature 2 discloses a system parameter setting support system. The system parameter setting support system described in Patent Literature 2 includes a test device and a system under test. The system under test has a number of configurable parameters. The test equipment sends requests to the system under test to perform the tests. The test includes, for example, a performance test that verifies the operation and performance of the system while applying various loads to the system under test and changing various parameter settings. Tuning is performed while changing multiple parameters during performance testing, and parameters for actual operation are determined.

JP 2018-63629 A WO2013/018376

As the application execution infrastructure of the client-server model shifts to PaaS (Platform as a Service), the application architecture is also being changed to a microservice architecture suitable for operation on the PaaS infrastructure. This microservice architecture is based on the premise that the system is differentiated in units of services, and the differentiated functions are operated on a platform provided using container technology such as Linux (registered trademark) container.

Open Shift and the like have been proposed as orchestration tools for managing containers. By specifying a server on which a container is to be run in advance in the orchestration tool, it is possible to freely start a container on that server and run a service on the container.

In the above related technology, the orchestration tool that manages containers includes a master node, nodes managed by the master node, and a repository that manages images to be deployed on the nodes. A worker who develops a system that conforms to the microservice architecture uses a development environment, divides the system into elements, creates container images for each service, and registers them in a repository. A scheduler in the master node deploys containers on nodes and runs services on them based on conditions defined by itself.

Here, the entity of the node is a server, and the hardware configuration and network configuration may differ for each server. In the related art, a container orchestration tool deploys a container to a node and operates an application on the node after considering the load status and fault tolerance of the node itself. However, when actually running an application, differences occur due to differences in hardware configuration and network configuration, and the current situation is that the optimum solution for operating the application is not considered.

In Patent Document 2, the desired processing performance can be achieved because the parameters of the device under test can be adjusted. However, when deploying a container on a node and running an application, it is necessary to recreate an image that includes setting information in order to change the settings. Since the node to which the image is deployed is allocated at the discretion of the master node, it is difficult to set the application to complete processing in the shortest time according to the node to which the image is deployed.

In view of the above, the present disclosure provides a computer system, a parameter setting device, a method, and a program that can reflect setting changes to a container running on a server without changing the image that is the origin of the container. With the goal.

In order to achieve the above object, the present disclosure provides a management device that is generated from a container image, operates on a server, and holds address information for accessing a container that includes an application section and a framework section; a parameter setting device that accesses the container based on address information and transmits parameter setting information of the framework unit to the container, the framework unit including setting reflecting means, the setting reflecting means comprising: A computer system is provided for changing the parameters of the framework section according to the setting information transmitted from the parameter setting device.

The present disclosure also provides a container generated from a container image, running on a server, including an application unit and a framework unit, and including setting reflecting means for changing parameters according to setting information received by the framework unit. access destination information acquisition means for acquiring the address information from a management device holding address information for access; and setting input means for transmitting.

The present disclosure provides a method for accessing a container generated from a container image, running on a server, including an application part and a framework part, and having a function of changing parameters according to setting information received by the framework part. A parameter setting method is provided for acquiring the address information from a management device holding the address information, accessing the container based on the address information, and transmitting parameter setting information for the framework unit to the container.

The present disclosure provides a method for accessing a container generated from a container image, running on a server, including an application part and a framework part, and having a function of changing parameters according to setting information received by the framework part. Acquiring the address information from a management device holding the address information, accessing the container based on the address information, and causing the computer to execute processing for transmitting parameter setting information of the framework unit to the container. Offer a program.

A computer system, a parameter setting device, a method, and a program according to the present disclosure can reflect setting changes to a container running on a server without changing the image that is the origin of the container.

1 is a block diagram that schematically illustrates a computer system of the present disclosure; FIG. 1 is a block diagram showing a computer system according to a first embodiment of the present disclosure; FIG. 4 is a flow chart showing an operation procedure when changing parameters; FIG. 2 is a block diagram showing a computer system according to a second embodiment of the present disclosure; FIG. The figure which shows an example of parameter definition information. 4 is a flow chart showing an operation procedure when parameter definition information is input; 4 is a flowchart showing an operation procedure during parameter adjustment;

An outline of the present disclosure will be described prior to description of the embodiments of the present disclosure. FIG. 1 shows a computer system according to the present disclosure. The computer system 10 has a management device 11 and a parameter setting device 12 . The management device 11 holds address information for accessing the container 30 generated from the container image and operating on the server 20 . The container 30 includes an application section 31 and a framework section 32 .

The parameter setting device 12 accesses the container 30 based on the address information held by the management device 11 . The parameter setting device 12 transmits the setting information of the framework part 32 of the container 30 to the container 30 . The framework section 32 includes a setting reflecting means 33 . The setting reflecting means 33 changes the parameters of the framework section 32 according to the setting information transmitted from the parameter setting device 12 .

In the present disclosure, the parameter setting device 12 transmits setting information to the container 30 using the address information of the container 30 held by the management device 11 . The framework section 32 of the container 30 has a setting reflection means 33 , and the setting reflection means 33 sets parameters in the framework section 32 based on the setting information transmitted from the parameter setting device 12 . By doing so, the parameters of the framework section 32 can be changed without changing the container image that is the origin of the container generation.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. FIG. 2 shows a computer system according to the first embodiment of the present disclosure. The computer system 100 has a master node 101 , a parameter setting device 102 and nodes 103 . The master node 101, parameter setting device 102, and node 103 are configured as server computers, for example. The functions of the master node 101, the parameter setting device 102, and the node 103 can be realized by the processor in the server computer operating according to the program read from the memory. These devices need not necessarily be configured as physically separate devices. Also, each device may be configured using a plurality of physically separated devices.

This embodiment assumes the following environment.
(1) In accordance with macro service architecture, system elements are divided into services, and each service operates on a container.
(2) Container operations are performed using orchestration tools. The orchestration tool defines information for identifying servers (nodes) on which containers operate, and information for accessing services operating on containers.
(3) A container is a Web server or application server of a client-server model having an architecture in which an application part and a framework part can be separated for service execution.

The repository 104 holds container images from which containers are generated. The repository 104 holds a container image 141 of service A, a container image 142 of service B, and a container image 142 of service C, for example.

The master node 101 has a scheduler 111 and management information 112 . The scheduler 111 determines a server to deploy the container image. The scheduler 111 acquires, for example, the container image 141 of the service A from the repository 104 and deploys the acquired container image 141 on the node 103 . The management information 112 includes virtual address information (virtual address) 113 for each container, node information (node information) 114 on which the container operates, and URL (uniform resource locator) (service URL) 115 provided by the service. . A master node 101 corresponds to the management device 11 in FIG.

The node 103 is a server that operates the container 130 deployed by the scheduler 111 . A container 130 provides a specific service. Each service includes an application portion 131 and a framework portion 132 . The application unit 131 is an entity that provides services. The framework unit 132 is a framework for operating applications. Node 103 corresponds to server 20 in FIG. 1, and container 130 corresponds to container 30 in FIG. Also, the application section 131 corresponds to the application section 31 in FIG. 1, and the framework section 132 corresponds to the framework section 32 in FIG.

The framework unit 132 includes setting information 133 and a setting reflecting function (setting reflecting means) 134 . The setting information 133 is setting information of a plurality of parameters that can be set in the framework unit 132 . The setting reflection function 134 is provided as one function of the framework, receives a request in a specific URL format, and performs a parameter setting change operation. More specifically, the setting reflection function 134 receives a request including parameter setting information from the parameter setting device 102 and stores the setting information included in the received request in the setting information 133 . The setting reflection function 134 restarts the framework unit 132 after storing the setting information, for example, so that the framework unit 132 operates with parameters according to the setting information newly stored in the setting information 133 . The setting reflecting function 134 corresponds to the setting reflecting means 33 in FIG.

The parameter setting device 102 has an access destination information acquisition unit (access destination information acquisition means) 121 and a setting input unit (setting input means) 122 . The access destination information acquisition unit 121 acquires the virtual address 113 of the container 130 from the master node 101 . The setting input unit 122 transmits setting information stored in the setting information 133 of the framework unit 132 to the container 130 . At this time, the setting input unit 122 generates a request combining the virtual address 113 acquired by the access destination information acquisition unit 121 and the setting information, and transmits the setting information to the container 130 . For example, the user inputs setting information to the setting input unit 122 . A parameter setting device 102 corresponds to the parameter setting device 12 in FIG.

A method (parameter setting method) implemented in the computer system 100 will be described below. FIG. 3 shows the operation procedure when changing the parameters of the framework part 132 of the container 130 . The user specifies, for example, a service for which the setting is to be changed, and inputs parameter setting information to the setting input unit 122 (step A1). The setting input unit 122 calls the access destination information acquisition unit 121, and the access destination information acquisition unit 121 acquires the virtual address 113 held on the master node 101 (step A2).

The setting input unit 122 uses the virtual address 113 acquired in step A2 to construct a URL for parameter setting (step A3). Further, the setting input unit 122 adds the parameter input by the user to the URL for setting, and generates the URL for setting including the parameter after setting change (step A4). In step A4, the setting input unit 122 generates, for example, the following URL format request.
http://{virtual address}/setting?param={parameter name}&data={input data}

The setting input unit 122 transmits the setting URL generated in step A4 to the container 130, and calls the setting reflection function 134 of the framework unit 132 (step A5). The setting reflection function 134 stores the setting information of the parameters included in the setting URL in the setting information 133 (step A6). In step A6, the setting reflection function 134 replaces, for example, the setting value of the parameter indicated by the "parameter name" included in the setting URL with the value of the "input data" included in the setting URL. After storing the setting information, the setting reflection function 134 restarts the framework unit 132 (step A7). After restarting, the framework unit 132 operates according to the setting information newly stored in the setting information 133 .

In this embodiment, the framework part 132 of the container 130 has a setting reflection function 134 . The parameter setting device 102 acquires the virtual address 113, which is virtual address information of the container 130, from the master node 101, and transmits a request including setting information to the container 130. FIG. In this embodiment, setting information can be transmitted from outside the container 130 to the setting reflection function 134 within the container 130 by using a virtual address prepared for each container. By changing the setting information 133 in the framework unit 132 according to the setting information received by the setting reflection function 134, the parameters of the framework unit 132 can be changed.

For example, the node on which a container image is placed is not specified to one node, and a container image may be placed on two different nodes. In that case, even if the parameters of the framework part 132 in the container 130 generated from one container image are optimal for one node, they are not necessarily optimal for the other node. In this embodiment, the settings in the framework part 132 can be changed for each service. can be changed accordingly. Therefore, while using the same container image, each node can execute a service with parameters according to the situation of each node.

Next, a second embodiment of the present disclosure will be described. FIG. 4 shows a computer system according to a second embodiment of the present disclosure. In this embodiment, in addition to the access destination information acquisition unit 121 and the setting input unit 122, the parameter setting device 102a includes a parameter definition information storage unit 151, a parameter setting analysis unit 152, a setting injection unit 153, a setting storage unit 154, a measurement It has a result reception unit 155 , a derivation unit 156 and an application execution unit 157 .

The present embodiment differs from the first embodiment in that the parameter setting device 102a adjusts setting information of parameters set in the framework unit 132. FIG. The master node 101 and node 103 may be the same as those described in the first embodiment. Note that the repository 104 (see FIG. 2) is not shown in FIG.

The parameter definition information storage unit (parameter definition information storage means) 151 stores parameter definition information (parameter definition information) of the framework unit 132 . The parameter definition information storage unit 151 stores parameter definition information for parameters to be adjusted in parameter adjustment. FIG. 5 shows an example of parameter definition information. The parameter definition information includes pairs of parameter names and input data. Parameter definition information is input by a user, for example. In the parameter definition information, data ranges and the like are defined by regular expressions, for example.

A parameter setting analysis unit (parameter setting analysis means) 152 analyzes the parameter definition information stored in the parameter definition information storage unit 151, and calculates the parameter name and the data range of the parameter. The setting injection unit (setting injection means) 153 transmits information on the parameter name and the data range of the parameter calculated by the parameter setting analysis unit 152 to the setting storage unit (setting storage means) 154 . The setting storage unit 154 stores the parameter name and the parameter data range transmitted from the setting injection unit 153 as candidates for setting information to be set in the framework unit 132 .

An application execution unit (application execution means) 157 transmits a request to a service provided by the container 130 to execute an application. At this time, the application execution unit 157 accesses the service provided by the container 130 based on the service URL 115 held in the master node 101 . The application execution unit 157 measures the processing performance index of the container 130 when executing the application. The application execution unit 157 measures, for example, the execution processing time of an application as a processing performance index.

A derivation unit (parameter derivation means) 156 derives parameter setting information for the framework unit 132 . For example, Bayesian optimization is used to derive the setting information. In deriving the setting information, the derivation unit 156 transmits the setting information within the data range stored in the setting storage unit 154 to the setting reflecting function of the framework unit 132 through the setting input unit 122 . After transmitting the setting information, the derivation unit 156 calls the application execution unit 157 to execute the application in the container 130 .

The measurement result reception unit (measurement result reception means) 155 receives from the application execution unit 157 the processing performance index measured during execution of the application. The measurement result reception unit 155 notifies the derivation unit 156 of the received processing performance index. The derivation unit 156 derives the setting information with the best processing performance index, for example, the shortest execution processing time, by performing Bayesian optimization, for example. Derivation unit 156 transmits the derived setting information to the setting reflection function of framework unit 132 through setting input unit 122 .

The operation procedure will be described below. FIG. 6 shows an operation procedure when parameter definition information is input. The user sets parameter definitions in the parameter definition information storage unit 151 (step B1). In step B1, the user sets, for example, parameter names of parameters that can affect the operation of the node 103, their ranges, and the like.

The parameter setting analysis unit 152 analyzes the input data (see FIG. 5) registered in the parameter definition information storage unit 151, and derives possible input values for setting values (step B2). The setting injection unit 153 stores the possible input values derived in step B2 in the setting storage unit 154 (step B3). At this stage, the preparation for parameter adjustment is completed.

FIG. 7 shows the operation procedure during parameter adjustment. After the container image is placed on the node 103, the user can instruct parameter adjustment at any timing. When the user instructs parameter adjustment, the access destination information acquisition unit 121 acquires the management information 112 from the master node 101 (step C1). The access destination information acquisition unit 121 acquires the virtual address 113, the node information 114, and the service URL 115 in step C1. The setting input unit 122 constructs a service access destination URL and a parameter setting URL by combining the management information acquired in step C1 (step C2).

The derivation unit 156 performs Bayesian optimization using the setting value and possible input values of the setting value as arguments, and derives the setting value to be investigated (step C3). The derivation unit 156 notifies the setting input unit 122 of the derived setting values. The setting input unit 122 uses the setting URL constructed in step C2 to transmit the setting value derived in step C3 to the setting reflecting function 134 of the framework unit 132 (step C4). In step C4, the setting input unit 122 assigns the setting value derived in step C3 to the setting URL constructed in step C2, and transmits the setting URL to which the setting value is assigned to the setting reflection function 134. do.

The setting reflection function 134 stores the setting information of the parameter included in the setting URL in the setting information 133 (step C5). After storing the setting information, the setting reflection function 134 restarts the framework unit 132 (step C6). After restarting, the framework unit 132 operates according to the setting information newly stored in the setting information 133 . Steps C5 and C6 may be similar to steps A6 and A7 in FIG.

After restarting the framework unit 132, the application execution unit 157 causes the container 130 to execute the service (application) (step C7). At step C7, the application execution unit 157 causes the container 130 to execute the application using the access destination URL of the service constructed at step C2. The application execution unit 157 measures the processing performance index of the container 130 (node 103) (step C8). The application execution unit 157 measures, for example, the execution processing time of the application in step C8.

The application executing unit 157 transmits the processing performance index measured in step C8 to the measurement result receiving unit 155. FIG. The measurement result reception unit 155 notifies the derivation unit 156 of the received processing performance index. The derivation unit 156 performs Bayesian optimization based on the setting value and the processing performance index to derive a new setting value (step C9).

The derivation unit 156 determines whether or not the set value derived in step C9 is the same as the previous set value (step C10). If it is determined in step C10 that the derived setting value is different from the previous setting value, the process returns to step C4, and the new setting value is sent to the setting reflecting function 134 of the framework unit 132 through the setting input unit 122. sent. The processing from step C4 to step C10 is repeated until it is determined that the newly derived set value is the same as the previous set value at step C10.

If the derivation unit 156 determines in step C10 that the set value is the same as the previous time, the derivation unit 156 ends the Bayesian optimization, and determines whether or not the parameter adjustment has been completed for all nodes subject to parameter adjustment ( Step C11). If it is determined in step C11 that there remains a node for which parameter adjustment is to be performed, the process returns to step C3, and the derivation unit 156 performs Bayesian optimization on one node for which parameter adjustment has not been performed. If it is determined in step C11 that parameter adjustment has been completed for all nodes, the process ends.

In this embodiment, the derivation unit 156 derives setting information to be set in the framework unit 132 within the scope of the parameter definition information. In this embodiment, for example, the derivation unit 156 derives the setting information that provides the best processing performance index, so that the application completes the processing in the shortest time according to the status of the container and node where the service is deployed. can automatically derive configuration information for Therefore, in this embodiment, the processing performance can be improved without the need for system developers or the like to investigate the services deployed in the nodes and change the setting information.

In each of the above embodiments, the program can be stored and supplied to the computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media such as flexible disks, magnetic tapes, or hard disks, magneto-optical recording media such as magneto-optical discs, compact discs (CDs), or digital versatile disks (DVDs). and semiconductor memory such as mask ROM (read only memory), PROM (programmable ROM), EPROM (erasable PROM), flash ROM, or RAM (random access memory). The program may also be delivered to the computer using various types of transitory computer readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can deliver the program to the computer via wired channels, such as wires and optical fibers, or wireless channels.

Although the embodiments of the present disclosure have been described in detail above, the present disclosure is not limited to the above-described embodiments, and changes and modifications can be made to the above-described embodiments without departing from the scope of the present disclosure. are also included in the present disclosure.

For example, some or all of the above-described embodiments may be described in the following supplementary remarks, but are not limited to the following.

[Appendix 1]
a management device that is generated from a container image, operates on a server, and holds address information for accessing a container that includes an application section and a framework section;
a parameter setting device that accesses the container based on the address information and transmits parameter setting information of the framework unit to the container;
A computer system in which the framework unit includes setting reflecting means, and the setting reflecting unit changes the parameters of the framework unit according to the setting information transmitted from the parameter setting device.

[Appendix 2]
The parameter setting device includes access destination information acquisition means for acquiring the address information from the management device; A computer system according to appendix 1, comprising a transmission setting input means.

[Appendix 3]
3. The computer system according to appendix 1 or 2, wherein the setting reflecting means saves the setting information transmitted from the parameter setting device in the framework section and restarts the framework section.

[Appendix 4]
The management device further holds information for accessing services provided by the container,
The parameter setting device includes application execution means for executing a service provided by the container based on information for accessing the service and measuring a processing performance index of the service; 4. The computer system according to any one of Appendices 1 to 3, further comprising parameter deriving means for deriving setting information to be set in the container.

[Appendix 5]
The parameter setting device includes parameter information storage means for storing parameter definition information defining the data range of the setting information;
further comprising parameter setting analysis means for calculating candidates for the setting information based on the parameter definition information;
5. The computer system according to appendix 4, wherein the parameter derivation means derives the setting information from the setting information candidates calculated by the parameter setting analysis means.

[Appendix 6]
6. The computer system according to appendix 4 or 5, wherein the parameter deriving means derives setting information that optimizes the processing performance index.

[Appendix 7]
7. The computer system according to any one of Appendices 1 to 6, wherein the management device has a scheduler that determines a server that runs the container.

[Appendix 8]
8. The computer system of clause 7, wherein the scheduler obtains the container image from a repository and deploys the container image to the determined server.

[Appendix 9]
Address information for accessing a container generated from a container image, operating on a server, including an application section and a framework section, and including setting reflecting means for changing parameters according to setting information received by the framework section. access destination information acquiring means for acquiring the address information from the management device holding the
A parameter setting device comprising setting input means for accessing the container based on the address information and transmitting setting information for parameters of the framework unit to the container.

[Appendix 10]
The parameter setting device according to appendix 9, wherein the setting input means receives the setting information, generates a request combining the received setting information and the address information, and transmits the request to the container.

[Appendix 11]
The access destination information acquiring means further acquires information for accessing the service provided by the container from the management device,
The parameter setting device further comprises application execution means for executing a service provided by the container based on the information for accessing the service and measuring a processing performance index of the service; and parameter deriving means for deriving setting information to be set in the container.

[Appendix 12]
parameter information storage means for storing parameter definition information defining the data range of the setting information;
further comprising parameter setting analysis means for calculating candidates for the setting information based on the parameter definition information;
12. The parameter setting device according to appendix 11, wherein the parameter derivation means derives the setting information from the setting information candidates calculated by the parameter setting analysis means.

[Appendix 13]
13. The parameter setting device according to appendix 11 or 12, wherein the parameter deriving means derives setting information that maximizes the processing performance index.

[Appendix 14]
Holds address information for accessing a container generated from a container image, running on a server, including an application part and a framework part, and having a function of changing parameters according to the setting information received by the framework part. acquire the address information from the management device that
A parameter setting method for accessing the container based on the address information and transmitting parameter setting information for the framework unit to the container.

[Appendix 15]
further obtaining information for accessing services provided by the container from the management device;
executing a service provided by the container based on the information for accessing the service;
measuring a performance index of the service;
15. The parameter setting method according to appendix 14, wherein setting information to be set in the container is derived based on the processing performance index.

[Appendix 16]
Further, calculating candidates for the setting information based on parameter definition information defining a data range of the setting information,
16. The parameter setting method according to appendix 15, wherein, in deriving the setting information, the setting information is derived from the calculated candidates for the setting information.

[Appendix 17]
17. The parameter setting method according to appendix 15 or 16, wherein the derivation of the setting information derives the setting information that maximizes the processing performance index.

[Appendix 18]
Holds address information for accessing a container generated from a container image, running on a server, including an application part and a framework part, and having a function of changing parameters according to the setting information received by the framework part. acquire the address information from the management device that
A program that causes a computer to execute processing for accessing the container based on the address information and transmitting parameter setting information for the framework unit to the container.

10: Computer system 11: Management device 12: Parameter setting device 20: Server 30: Container 31: Application part 32: Framework part 33: Setting reflecting means 100: Computer system 101: Master node 102: Parameter setting device 103: Node 104 : repository 111: scheduler 112: management information 113: virtual address 114: node information 115: service URL
121: Access destination information acquisition unit 122: Setting input unit 130: Container 131: Application unit 132: Framework unit 133: Setting information 134: Setting reflection function 151: Parameter definition information storage unit 152: Parameter setting analysis unit 153: Setting injection Unit 154: Setting storage unit 155: Measurement result reception unit 156: Derivation unit 157: Application execution unit

Claims (9)

a management device that is generated from a container image, operates on a server, and holds address information for accessing a container that includes an application section and a framework section;
a parameter setting device that accesses the container based on the address information and transmits parameter setting information of the framework unit to the container;
The framework unit includes setting reflecting means, the setting reflecting unit changes parameters of the framework unit according to setting information transmitted from the parameter setting device,
The management device further holds information for accessing services provided by the container,
The parameter setting device includes application execution means for executing a service provided by the container based on information for accessing the service and measuring a processing performance index of the service; and parameter derivation means for deriving setting information to be set in the container . The parameter setting device includes access destination information acquisition means for acquiring the address information from the management device; 2. A computer system as claimed in claim 1, including means for inputting settings for transmission. 3. The computer system according to claim 1, wherein said setting reflecting means saves the setting information transmitted from said parameter setting device in said framework section and restarts said framework section. The parameter setting device includes parameter information storage means for storing parameter definition information defining the data range of the setting information;
further comprising parameter setting analysis means for calculating candidates for the setting information based on the parameter definition information;
4. The computer system according to any one of claims 1 to 3, wherein said parameter derivation means derives said setting information from said setting information candidates calculated by said parameter setting analysis means. 5. The computer system according to any one of claims 1 to 4, wherein said parameter deriving means derives setting information that optimizes said processing performance index. 6. The computer system according to any one of claims 1 to 5 , wherein said management device has a scheduler that determines a server that operates said container. Address information for accessing a container generated from a container image, operating on a server, including an application section and a framework section, and including setting reflecting means for changing parameters according to setting information received by the framework section. and access destination information acquisition means for acquiring the address information from a management device holding information for accessing the service provided by the container ;
setting input means for accessing the container based on the address information and transmitting setting information for parameters of the framework unit to the container ;
application execution means for executing a service provided by the container based on information for accessing the service and measuring a processing performance index of the service;
A parameter setting device comprising parameter derivation means for deriving setting information to be set in the container based on the processing performance index . Address information for accessing a container generated from a container image, running on a server, including an application section and a framework section, and having a function of changing parameters according to setting information received by the framework section ; acquiring the address information from a management device that holds information for accessing services provided by the container ;
accessing the container based on the address information, and transmitting parameter setting information of the framework unit to the container;
executing a service provided by the container based on the information for accessing the service, measuring a processing performance index of the service;
A parameter setting method for deriving setting information to be set in the container based on the processing performance index . Address information for accessing a container generated from a container image, running on a server, including an application section and a framework section, and having a function of changing parameters according to setting information received by the framework section ; acquiring the address information from a management device that holds information for accessing services provided by the container ;
accessing the container based on the address information, and transmitting parameter setting information of the framework unit to the container;
executing a service provided by the container based on the information for accessing the service, measuring a processing performance index of the service;
A program that causes a computer to execute processing for deriving setting information to be set in the container based on the processing performance index .

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