JP2021193517A - Container management device, container management method and program - Google Patents

Abstract

To provide a container management device, a container management method and a program which exclude the influence of allocation of resources, and are required to obtain the continuity of performance information.SOLUTION: A management device comprises performance information compensation means which compensates performance information related to one or more containers, based on a host computer in which one or more containers operate or resource allocation information indicating resources allocated to a container base.SELECTED DRAWING: Figure 1

Description

The present invention relates to a container management device, a container management method and a program.

Patent Document 1 discloses a container that manages a part of the associated resource and provides it as a virtual resource. Further, Patent Document 1 discloses that the device management unit acquires the utilization rate and the actual performance from each device to be managed and stores them in the resource operation information database. Further, Patent Document 1 discloses that a virtual resource configuration provided to a tenant or an application management server is managed for each container and held in a container management table. Further, in Patent Document 1, in order to compare and evaluate the resource requirements of a plurality of different applications in common in the table, a correction coefficient is set, the actual measured value of each performance index is corrected by the correction coefficient, and the correction thereof is performed. It discloses recording the results.

International Publication No. 2015/049789

In Patent Document 1, in order to optimize resources, performance indexes are collected, corrections are made for each application type using a specific magnification, and the score calculation results are shown as resource performance characteristics. There is.
However, in Patent Document 1, it is not possible to eliminate the influence of resource allocation and obtain continuity of performance information.

Therefore, an object of the present invention is to provide a container management device, a container management method, and a program that solve the above-mentioned problems.

Some aspects of the present invention have been made to solve the above-mentioned problems, and the first aspect of the present invention shows resources allocated to a host computer or a container base in which one or more containers are operated. It is a container management device provided with performance information correction means for correcting performance information regarding the one or more containers based on resource allocation information.

Further, the second aspect of the present invention corrects the performance information regarding the one or more containers based on the resource allocation information indicating the resources allocated to the host computer or the container base in which one or more containers are operated. It is a container management method.

Further, in the third aspect of the present invention, one or more of the computers of the container management device are based on the resource allocation information indicating the resources allocated to the host computer or the container base in which one or more containers are operated. It is a program that functions as a performance information correction means for correcting performance information related to a container.

According to some aspects of the invention, continuity of performance information can be obtained by eliminating the influence of resource allocation.

It is a schematic block diagram of the container management system by 1st Embodiment of this invention. It is a flowchart which shows the processing of the monitoring manager by 1st Embodiment of this invention. It is a conceptual diagram which shows the relationship of the host computer, the container base, and a container by 1st Embodiment of this invention. It is another conceptual diagram which shows the relationship of the host computer, the container base, and a container by 1st Embodiment of this invention. It is a graph which shows an example of the resource allocation information collected by the resource allocation information collection part by 1st Embodiment of this invention. It is a graph which shows an example of the performance information collected by the performance information collecting part by 1st Embodiment of this invention. It is a graph which shows an example of the corrected performance information generated by the performance information correction part by 1st Embodiment of this invention. It is a schematic block diagram of the container management system by 2nd Embodiment of this invention. It is a flowchart which shows the processing of the monitoring manager by 2nd Embodiment of this invention. It is a graph which shows an example of the resource allocation information collected by the resource allocation information collection part by 2nd Embodiment of this invention. It is a graph which shows an example of the performance information which the performance information collecting part by the 2nd Embodiment of this invention collects. It is a graph which shows an example of the corrected performance information generated by the performance information correction part by 2nd Embodiment of this invention. It is a block diagram which shows the structure of the monitoring manager which has the minimum structure. It is a flowchart which shows the process of the monitoring manager which has the minimum configuration.

[First Embodiment]
First, the first embodiment of the present invention will be described.

FIG. 1 is a schematic configuration diagram of a container management system 100a according to the first embodiment of the present invention. The container management system 100a includes a host computer 10a and a monitoring manager 20a (also referred to as a container management device).
The host computer 10a and the monitoring manager 20a are connected to each other by a wired or wireless network. Although FIG. 1 shows a case where one host computer 10a is used, there may be a plurality of host computers.

The host computer 10a includes a container base 11, a performance information collection unit 13, a performance information storage unit 14, a resource allocation information collection unit 15a, and a resource allocation information storage unit 16a.
The container base 11 controls the container 12 processed by the host computer 10a. The container 12 is a collection of libraries and applications necessary for setting a logical partition and operating an application on the host computer 10a, and is used like a pseudo individual server. It is something that can be done.
Although only one container 12 is shown in FIG. 1, there may be a plurality of containers 12. The container base 11 can control a plurality of containers.

The performance information collecting unit 13 collects performance information regarding the container 12. Here, the container 12 collects information on the load of a CPU (Central Processing Unit) (also referred to as a central processing unit) that processes the container 12 as performance information.
The performance information storage unit 14 is a storage device such as an HDD (Hard Disk Drive), and stores various information related to the container 12 such as the performance information collected by the performance information collection unit 13.

The resource allocation information collection unit 15a collects resource allocation information, which is information on the resources allocated to the container 12, from the container base 11. Here, the resource allocation information collecting unit 15a collects information on the number of CPUs used in the processing of the container 12 as resource allocation information.
The resource allocation information storage unit 16a is a storage device such as an HDD, and stores the resource allocation information collected by the resource allocation information collection unit 15a.

On the other hand, the monitoring manager 20a includes a performance information acquisition unit 21, a performance information correction unit 22a (also referred to as a performance information correction means), a performance information display unit 23 (also referred to as a performance information display means), and an administrator dialogue unit 24.
The performance information acquisition unit 21 reads out the performance information stored in the performance information storage unit 14 of the host computer 10a and outputs it to the performance information correction unit 22a.

The performance information correction unit 22a reads out the resource allocation information stored in the resource allocation information storage unit 16a of the host computer 10a based on the correction instruction input from the administrator dialogue unit 24. The performance information correction unit 22a corrects the performance information read from the performance information storage unit 14 by using the resource allocation information read from the resource allocation information storage unit 16a, and the corrected performance information is transmitted to the performance information display unit 23. Output.

The performance information display unit 23 is a display device such as a display, and displays the corrected performance information output from the performance information correction unit 22a as a graph.
The administrator dialogue unit 24 is an input device such as a keyboard, and based on the operation of the container management system 100a, the performance information correction unit 22a acquires a correction instruction regarding whether or not to correct the performance information, and the correction instruction thereof. Is output to the performance information correction unit 22a.

FIG. 2 is a flowchart showing the processing of the monitoring manager 20a according to the first embodiment of the present invention.
First, the performance information acquisition unit 21 acquires the performance information regarding the container 12 by reading the performance information stored in the performance information storage unit 14 (step S11).

Next, the administrator dialogue unit 24 determines whether or not to correct the performance information based on whether or not the performance information correction unit 22a has received the correction instruction instructing the correction of the performance information. (Step S12). The correction instruction from the administrator includes information on whether or not the performance information correction unit 22a corrects the performance information, and if correction is performed, the correction period for correction (for example, time t0 to tun (n is n). Contains information about (integer)).
If it is determined that the performance information is not corrected (No in step S12), the process of step S15, which will be described later, is performed.

On the other hand, when it is determined that the performance information is to be corrected (Yes in step S12), the performance information correction unit 22a reads the resource allocation information in the correction period from the resource allocation information storage unit 16a, so that the container board 11 As the resource allocation information of the above, information on the number of host computers 10a used for processing the container 12 is acquired (step S13).

Next, the performance information correction unit 22a corrects the performance information acquired by the performance information acquisition unit 21 by using the resource allocation information read from the resource allocation information storage unit 16a (step S14). For example, the performance information correction unit 22a performs so that the performance information at the end of the period before the correction of the performance information is started and the performance information at the beginning of the period for correcting the performance information match. Increase or decrease the value of performance information during the period of information correction.

Next, the performance information display unit 23 presents the corrected performance information to the administrator of the container management system 100a by displaying the performance information corrected by the performance information correction unit 22a in a graph (step S15). ..

3A and 3B are conceptual diagrams showing the relationship between the host computer 10a, the container base 11, and the container 12 according to the first embodiment of the present invention.
In FIGS. 3A and 3B, a case where the host computer 10a (FIG. 1) includes the host computer 10-1 and the host computer 10-2 will be described.
When the container 12 moves between host computers 10-1 and 10-2 having different performances, or when the CPU allocation that can be used by the container 12 changes, the CPU resources available on the container 12 change.

FIG. 3A shows a case where one container 12 is processed by a host computer 10-1 that operates using four CPUs under the control of the container base 11.
FIG. 3B shows a case where one container 12 is processed by a host computer 10-2 that operates using two CPUs under the control of the container base 11.
By switching between the state of FIG. 3A and the state of FIG. 3B, the container board 11 controls whether one container 12 processes the host computer 10-1 or the host computer 10-2.

FIG. 4A is a graph showing an example of resource allocation information collected by the resource allocation information collecting unit 15a according to the first embodiment of the present invention. The graph data shown in FIG. 4A is acquired by the performance information correction unit 22a in step S13 of the flowchart of FIG.
In FIG. 4A, the horizontal axis indicates time, and the vertical axis indicates the number of CPUs used for processing the container 12 indicating resource allocation information.

Specifically, FIG. 4A shows that the container 12 is processed by the host computer 10-1 that operates using four CPUs during the period from time t0 to t1. Further, in FIG. 4A, it is shown that the container 12 is processed by the host computer 10-2 operated by using two CPUs during the period t1 to t2. Further, in FIG. 4A, it is shown that the container 12 is processed by the host computer 10-1 operated by using four CPUs during the period after the time t2.
That is, in FIG. 4A, the number of CPUs that process the container 12 is reduced from four to two at the time t1. Therefore, in the container 12, the processing of the container 12 is performed during the time t1 to t2. The resources used for the operation are reduced by a certain amount.

FIG. 4B is a graph showing an example of performance information collected by the performance information collecting unit 13 according to the first embodiment of the present invention. The graph data shown in FIG. 4B is acquired by the performance information acquisition unit 21 in step S11 of the flowchart of FIG.
Here, the case where the performance information is the load of the CPU when processing the container 12 will be described.
In FIG. 4B, the horizontal axis represents time, and the vertical axis represents the load per CPU when processing the container 12.

As described with reference to FIG. 4A, the container 12 is processed by the host computer 10-1 using four CPUs during the period from time t0 to t1, but the container 12 has two containers 12 during the period from time t1 to t2. It is processed by the host computer 10-2 using the CPU. FIG. 4B shows a case where the load per CPU increases and exceeds the monitoring threshold value V1 because the number of usable CPUs decreases during the period t1 to t2.

FIG. 4C is a graph showing an example of corrected performance information generated by the performance information correction unit 22a according to the first embodiment of the present invention. The graph data shown in FIG. 4C is displayed by the performance information display unit 23 in step S15 of the flowchart of FIG.
In FIG. 4C, the horizontal axis represents time, and the vertical axis represents the corrected load per CPU when processing the container 12.

Compared with FIG. 4B, in FIG. 4C, the performance information correction unit 22a performs the performance information at the last time point of the period (time t0 to t1) before the start of the correction of the performance information, and the period for correcting the performance information. The value of the performance information in the period for correcting the performance information is reduced by a predetermined ratio in the vertical axis direction of FIG. 4C so that the performance information at the first time point (time t1 to t2) matches. .. In FIG. 4C, the load per CPU does not exceed the monitoring threshold value V1 even during the period t1 to t2.

As shown in FIGS. 3A and 3B, when the number of CPUs used for the processing of the container 12 is changed, the processing performed on the container 12 does not change, but the detected CPU load increases. (See time t1 to t2 in FIG. 4B). Since such a change in the CPU load is a change based on the allocation of the CPU of the host computer, it is not necessary to present the increase in the CPU load during the periods t1 to t2 to the administrator of the container management system 100a as an obstacle.

Since the conventional container management device cannot grasp the performance information based on the change in the number of CPUs used for the processing of the container 12, the processing of the container 12 changes in the container management system 100a as a whole. Even if it does not occur, as shown in FIG. 4B, the load of the CPU exceeds the monitoring threshold value V1, so that the administrator may erroneously recognize that the container management system 100a has a failure.

In the first embodiment of the present invention, as the performance information regarding the container 12, the graph as shown in FIG. 4C is presented to the administrator instead of the graph as shown in FIG. 4B. It is possible to prevent erroneous recognition, and it is possible to accurately determine whether or not a failure has occurred in the container management system 100a as a whole.

[Second Embodiment]
Next, a second embodiment of the present invention will be described.
The parts in which the configuration of the second embodiment is the same as the configuration of the first embodiment are designated by the same reference numerals, and the description thereof will be omitted.
In the second embodiment, a case where a graph of the CPU load of the container is displayed when the container is duplicated due to the scale-out of the container environment will be described.

FIG. 5 is a schematic configuration diagram of the container management system 100b according to the second embodiment of the present invention. The container management system 100b includes a host computer 10b and a monitoring manager 20b (also referred to as a container management device).

The host computer 10a according to the first embodiment includes a resource allocation information collection unit 15a and a resource allocation information storage unit 16a (see FIG. 1), whereas the host computer 10b according to the second embodiment has a resource allocation information collection unit 15b. , A resource allocation information storage unit 16b is provided.

The resource allocation information collection unit 15b collects resource allocation information, which is information on the resources allocated to the container 12, from the container base 11. Here, the resource allocation information collecting unit 15b collects information on the number of containers 12 processed by the container base 11 as resource allocation information.
The resource allocation information storage unit 16b is a storage device such as an HDD, and stores the resource allocation information collected by the resource allocation information collection unit 15b.

The monitoring manager 20a according to the first embodiment includes a performance information correction unit 22a (see FIG. 1), whereas the monitoring manager 20b according to the second embodiment includes a performance information correction unit 22b (also referred to as a performance information correction means). Be prepared.
The performance information correction unit 22b reads out the resource allocation information stored in the resource allocation information storage unit 16b of the host computer 10b based on the correction instruction input from the administrator dialogue unit 24. The performance information correction unit 22b corrects the performance information read from the performance information storage unit 14 by using the resource allocation information read from the resource allocation information storage unit 16b, and the corrected performance information is sent to the performance information display unit 23. Output.

FIG. 6 is a flowchart showing the processing of the monitoring manager 20b according to the second embodiment of the present invention.
First, the performance information acquisition unit 21 acquires the performance information regarding the container 12 by reading the performance information stored in the performance information storage unit 14 (step S21).

Next, the administrator dialogue unit 24 determines whether or not to correct the performance information based on whether or not the performance information correction unit 22b has received the correction instruction instructing the correction of the performance information. (Step S22). The correction instruction from the administrator includes information on whether or not the performance information correction unit 22b corrects the performance information, and if correction is performed, the correction period for correction (for example, time t0 to tun (n is n). Contains information about (integer)).
If it is determined that the performance information is not corrected (No in step S22), the process of step S25, which will be described later, is performed.

On the other hand, when it is determined that the performance information is to be corrected (Yes in step S22), the performance information correction unit 22b reads the resource allocation information in the correction period from the resource allocation information storage unit 16b, so that the container board 11 As the resource allocation information of, the information regarding the number of containers 12 processed by the container base 11 is acquired (step S23).

Next, the performance information correction unit 22b corrects the performance information acquired by the performance information acquisition unit 21 by using the resource allocation information read from the resource allocation information storage unit 16b (step S24). For example, the performance information correction unit 22b performs so that the performance information at the end of the period before the correction of the performance information is started and the performance information at the beginning of the period for correcting the performance information match. Increase or decrease the value of performance information during the period of information correction.
Next, the performance information display unit 23 presents the corrected performance information to the administrator of the container management system 100b by displaying the performance information corrected by the performance information correction unit 22b in a graph (step S25). ..

FIG. 7A is a graph showing an example of resource allocation information collected by the resource allocation information collecting unit 15b according to the second embodiment of the present invention. The graph data shown in FIG. 7A is acquired by the performance information correction unit 22b in step S23 of the flowchart of FIG.
In FIG. 7A, the horizontal axis shows time, and the vertical axis shows the number of containers 12 processed by the container base 11 showing resource allocation information.

Specifically, in FIG. 7A, it is shown that the container base 11 is processing one container 12 during the period from time t0 to t3. Further, in FIG. 7A, it is shown that the container base 11 is processing the two containers 12 during the period from time t3 to t4. Further, in FIG. 7A, it is shown that the container base 11 processes one container 12 during the period after the time t4.

FIG. 7B is a graph showing an example of performance information collected by the performance information collecting unit 13 according to the second embodiment of the present invention. The graph data shown in FIG. 7B is acquired by the performance information acquisition unit 21 in step S21 of the flowchart of FIG.
Here, the case where the performance information is the load of the CPU when processing the container 12 will be described.
In FIG. 7B, the horizontal axis represents time, and the vertical axis represents the load of the CPU when processing the container 12.

As described with reference to FIG. 7A, the container base 11 processes one container 12 during the period from time t0 to t3, while the container base 11 processes two containers 12 during the period from time t3 to t4. .. FIG. 7B shows a case where the load of the CPU per container decreases because the number of containers 12 to be processed increases during the period from time t3 to t4.

FIG. 7C is a graph showing an example of corrected performance information generated by the performance information correction unit 22b according to the second embodiment of the present invention. The graph data shown in FIG. 7C is displayed by the performance information display unit 23 in step S25 of the flowchart of FIG.
In FIG. 7C, the horizontal axis represents time, and the vertical axis represents the corrected load of the CPU when processing the container 12.

Compared with FIG. 7B, in FIG. 7C, the performance information correction unit 22b performs the performance information at the last time point of the period (time t0 to t3) before starting the correction of the performance information, and the period for correcting the performance information. The value of the performance information in the period for correcting the performance information is increased by a predetermined ratio in the vertical axis direction of FIG. 7C so that the performance information at the first time point (time t3 to t4) matches. ..

As shown in FIGS. 7A and 7B, when the number of containers 12 processed by the container base 11 is changed, the number of CPUs processing the container 12 does not change, but the detected CPU load is It will decrease (see time t3 to t4 in FIG. 7B). Since such a change in the CPU load is based on a change in the number of containers to be processed, it becomes a problem if the value of the CPU load during this period t3 to t4 is presented to the administrator of the container management system 100b as having no problem. Sometimes.

In the conventional container management device, performance information cannot be grasped based on the change in the number of containers 12 to be processed. Therefore, management is performed when the load of the CPU that processes one container does not change. There is a risk that a person may mistakenly recognize that a problem has not occurred in the container management system 100b.

In the second embodiment of the present invention, as the performance information regarding the container 12, the graph as shown in FIG. 7C is presented to the administrator instead of the graph as shown in FIG. 7B. It is possible to prevent erroneous recognition, and it is possible to accurately determine whether or not a failure has occurred in the container management system 100b as a whole.

In the first and second embodiments described above, the case where the load information measured when the container 12 is processed by the CPU is used as the performance information has been described, but the present invention is not limited to this, and other matters. Performance information of may be used.

Further, in the first and second embodiments described above, the case where the number of CPUs and the number of containers 12 are used as the resource allocation information has been described, but the present invention is not limited to this, and the CPU clock is used as the resource allocation information. You may use the information of.
Further, in the first and second embodiments described above, the case where one resource allocation information (the number of CPUs or the number of containers) is used has been described, but a plurality of resource allocation information may be used at the same time. ..

Next, the monitoring manager 20c (also referred to as a container management device) having the minimum configuration will be described.

FIG. 8 is a block diagram showing the configuration of the monitoring manager 20c having the minimum configuration. The monitoring manager 20c includes a performance information correction unit 22c (also referred to as a performance information correction means).

FIG. 9 is a flowchart showing the processing of the monitoring manager 20c having the minimum configuration.
The performance information correction unit 22c included in the monitoring manager 20c is performance information about one or more containers based on the resource allocation information indicating the resources allocated to the host computer in which one or more containers are operated or the container infrastructure. Is corrected (step S31).

A program for realizing the functions of each part in FIGS. 1, 5, and 8 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. May be processed for each part.

The term "computer system" as used herein includes hardware such as an OS (Operating System) and peripheral devices. The "computer-readable recording medium" is a flexible disk, a magneto-optical disk, a portable medium such as a ROM (Read Only Memory), a CD (Compact Disk) -ROM, or a storage of an HDD built in a computer system. It refers to a device. Further, the "computer-readable recording medium" is a volatile memory (RAM (Random Access) inside a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. It also includes those that hold the program for a certain period of time, such as Memory)).

Some aspects of the present invention can be applied to container management devices, container management methods and programs that need to obtain continuity of performance information by eliminating the influence of resource allocation.

10a, 10b, 10-1, 10-2 ... Host computer,
11 ... Container base,
12 ... Container 12,
13 ... Performance Information Collection Department,
14 ... Performance information storage unit,
15a, 15b ... Resource allocation information collection department,
16a, 16b ... Resource allocation information storage unit,
20a, 20b, 20c ... Monitoring manager,
21 ... Performance information acquisition department,
22a, 22b, 22c ... Performance information correction unit,
23 ... Performance information display unit,
24 ... Administrator Dialogue Department,
100a, 100b ... Container management system

Claims (10)

A container management device comprising a performance information correction means for correcting performance information regarding the one or more containers based on resource allocation information indicating resources allocated to a host computer or a container base on which one or more containers operate. The container management device according to claim 1, wherein the performance information correction means uses the number of central processing units of the host computer as the resource allocation information. The container management device according to claim 2, wherein the performance information correction means corrects the performance information so that the performance information before and after the change is continuous when the number of central processing units of the host computer changes. .. The container management device according to claim 2, wherein the performance information correction means uses the load value of the central processing unit that processes the one or a plurality of containers as the performance information. The container management device according to claim 1, wherein the performance information correction means uses the number of the one or a plurality of containers as the resource allocation information. The container management device according to claim 5, wherein the performance information correction means corrects the performance information so that when the number of the one or a plurality of containers changes, the performance information before and after the change is continuous. The container management device according to claim 2, wherein the performance information correction means uses the load value of the central processing unit that processes the one or a plurality of containers as the performance information. The container management device according to any one of claims 1 to 7, further comprising a performance information display means for displaying the performance information corrected by the performance information correction means as a graph. A container management method that corrects performance information about one or more containers based on resource allocation information indicating resources allocated to a host computer or container infrastructure on which one or more containers operate. The computer of the container management device,
A program that functions as a performance information correction means for correcting performance information related to the one or more containers based on resource allocation information indicating resources allocated to a host computer or a container base in which one or more containers operate.

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