JP2023114061A - Management program, management device and management method - Google Patents

Abstract

To effectively and instantly use a resource which is equipped to a scaled-up server after the server is scaled up.SOLUTION: A management device 1 determines the optimum amount of usage of resources for each software executed by a target server 31 on the basis of the predetermined usage rate of resources of each software when the management device 1 receives the identifier of the scaled-up target server 31 and the amount of resources after the scale-up, generates a command to set a parameter to attain the determined amount of usage of resource, and sends the generated comment to the up-scaled target server 31.SELECTED DRAWING: Figure 1

Description

The present invention relates to management programs and the like.

In recent years, a cloud environment has become mainstream as an infrastructure base for system construction. Advantages of cloud environments include flexibility and speed for scaling up to servers.

After scale-up, it is necessary to tune software parameters including an OS (Operating System). For example, software that implements a database (DataBase) has parameters such as the amount of memory used. Unless such parameters are tuned, performance as a database cannot be improved even if the server is scaled up.

As servers scale up, software parameter tuning is often done manually as appropriate.

Here, a technology is disclosed in which a management server calculates the amount of resources necessary for changing the scale of a DB server, and changes the scale according to the calculated amount of resources (see, for example, Patent Document 2).

JP 2012-221273 A JP 2016-206779 A

However, there is a problem that the resources installed in the scaled-up server cannot be effectively used immediately after the server is scaled up.

For example, when a server scales up, software parameter tuning is done manually as appropriate. However, since this is not done at the timing when the server is scaled up, the resources installed in the scaled up server cannot be used effectively immediately.

Also, in the technique in which the management server changes the scale of the DB server, although the resource amount of the DB server is changed, it is not a technique for tuning the optimum software parameters for the resource amount after conversion. Therefore, after the DB server is scaled up, the resources installed in the scaled-up DB server cannot be used effectively immediately.

One aspect of the present invention aims to immediately and effectively utilize the resources installed in the scaled-up server after the server is scaled up.

In one aspect, the management program receives the identifier of the scaled-up server and the resource amount of the resource after the scale-up, and is executed by the server based on the preset resource usage rate for each piece of software. A computer is caused to execute a process of determining an optimum resource usage amount for each piece of software, generating a command in which parameters are set so as to achieve the determined resource usage amount, and transmitting the generated command to the server.

According to one embodiment, the resources in the server can be utilized immediately by scaling up.

FIG. 1 is a block diagram showing the functional configuration of a system including a management device according to an embodiment. FIG. 2 is a diagram illustrating an example of a server information table according to the embodiment; FIG. 3 is a diagram illustrating an example of a resource usage rate table according to the embodiment; FIG. 4 is a diagram illustrating an example of a flowchart of processing of the management device according to the embodiment. FIG. 5 is a diagram illustrating an example of a sequence of management processing according to the embodiment. FIG. 6 is a diagram illustrating an example of a computer that executes a management program;

Embodiments of the management program, the management apparatus, and the management method disclosed in the present application will be described in detail below with reference to the drawings. In addition, this invention is not limited by an Example.

FIG. 1 is a block diagram showing the functional configuration of a system including a management device according to an embodiment. As shown in FIG. 1, system 9 has management device 1 and managed device 3 . The management device 1 manages optimal operation of the managed device 3 . The managed device 3 has a hypervisor 30 and a target server (VM (Virtual Machine)) 31 virtualized on the hypervisor 30 . The target server 31 may be singular or plural. The target server 31 executes software including a guest OS and applications.

When the management device 1 receives the resource amount of the scaled-up target server 31 after the scale-up, the management device 1 determines the resources of the software executed by the target server 31 based on the preset usage rate of the resource for each piece of software. determine the amount of Then, the management device 1 causes the target server 31 to execute a command for setting the parameter so that the determined resource usage amount is obtained.

The management device 1 has a control unit 10 and a storage unit 20 . The control unit 10 has a receiving unit 11 , a determining unit 12 , a generating unit 13 and a transmitting unit 14 . The storage unit 20 has a server information table 21 and a resource usage rate table 22 .

The server information table 21 stores information on the target server 31 to be managed. That is, the server information table 21 stores in advance which process (software) is to be executed for each target server 31 . In addition, the server information table 21 stores, for each process (software), a command template for setting parameters so as to achieve optimum resource usage. An example of the server information table 21 will now be described with reference to FIG.

FIG. 2 is a diagram illustrating an example of a server information table according to the embodiment; As shown in FIG. 2, the server information table 21 associates and stores host names, resource types, process names, command types, and commands. A host name is a name that uniquely identifies the target server 31 . The resource type indicates the type of system resource to be scaled up. Examples of resource types include memory and CPU (Central Processing Unit). The process name is the name of the process (software) executed on the target server 31 . The process name may be singular or plural. The command type indicates the type of command to be set in the parameters so as to optimize resource usage. The command is a template of a command to be executed according to the command type, which is a command for setting parameters so as to achieve the optimum resource usage. Examples of command types include SQL and bash (Bourne Again Shell).

As an example, when the host name is "Server01", the resource type is "memory", the process name is "process1", the command type is "SQL", and the command is "ALTER SYSTEM SET MEMORY_TARGET=xxx (unit) SCOPE=SPFILE". ” is remembered. The optimum memory usage is substituted for "xxx" in the command. A corresponding unit is substituted for "(unit)". The optimum memory usage is calculated by the generator 13, which will be described later.

In the server information table 21 shown in FIG. 2, information corresponding to one process name is set for the host name and resource type. Information corresponding to multiple process names is set. Also, information corresponding to one host name is set, but when there are a plurality of target servers 31, information corresponding to a plurality of host names is set.

Returning to FIG. 1, the resource usage rate table 22 stores information on the usage rates of system resources. That is, the resource usage rate table 22 stores in advance the optimal usage rate of system resources for each process (software). An example of the resource usage rate table 22 will now be described with reference to FIG.

FIG. 3 is a diagram illustrating an example of a resource usage rate table according to the embodiment; As shown in FIG. 3, the resource usage rate table 22 stores process names, resource types, conditions, and usage rates in association with each other. The process name is the name of the process (software) executed on the target server 31 . The resource type indicates the type of resource to be scaled up. The condition and usage rate indicate the optimal usage rate according to the resource type-related conditions.

As an example, when the process name is "process1", "memory" is stored as the resource type, "mounted memory amount" ≥ 0 GB and "mounted memory amount" < 16 GB" as the condition, and "30%" as the usage rate. are doing.

Returning to FIG. 1, the receiving unit 11 receives the scale-up information of the target server 31 that has been scaled up. The scale-up information includes the host name of the scaled-up target server 31 and the amount of system resources after scale-up. For example, the receiving unit 11 receives scale-up information about the scaled-up target server 31 from the hypervisor 30 of the managed device 3 .

Based on the server information table 21 and the resource usage rate table 22 , the determination unit 12 determines the optimum resource usage for each process (software) executed by the scaled-up target server 31 . For example, the determining unit 12 acquires the host name and the process name and command corresponding to the resource type of the scaled-up resource from the server information table 21 . Then, the determining unit 12 acquires conditions and usage rates corresponding to the acquired process name and the resource type of the scaled-up resource from the resource usage rate table 22 . Then, the determination unit 12 calculates the resource usage of the process (software) indicated by the process name from the resource amount of the resource after the scale-up, using the acquired conditions and usage rate. Then, the determination unit 12 determines the calculated resource usage amount as the optimal resource usage amount of the process (software) executed by the scaled-up target server 31 . As an example, when the scaled-up target server 31 “Server01” has a memory capacity of “4 GB” after scaling up, the process name “process1” executed on the target server 31 is optimally used. The amount is determined as "1.2 GB" (=4 GB x 0.3) (see Figure 3).

The generation unit 13 generates a command to be set as a parameter so as to achieve the resource usage amount determined by the determination unit 12 . For example, the generation unit 13 substitutes the determined resource usage amount for the command acquired together with the process name from the server information table 21 to generate a command to be set as a parameter. As an example, when the scaled-up resource of the scaled-up target server 31 "Server01" is "memory", the command corresponding to the process name "process1" executed on the target server 31 is as follows: generated in That is, such a command would be "ALTER SYSTEM SET MEMORY_TARGET=1.2GB SCOPE=SPFILE".

The transmitter 14 transmits the command generated by the generator 13 . For example, the transmission unit 14 transmits to the hypervisor 30 of the managed device 3 a command for setting parameters of a process (software) executed by the scaled-up target server 31 . After that, when the hypervisor 30 of the managed device 3 receives the command, it uses the function of the hypervisor 30 to transmit the received command to the scaled-up target server 31 . The target server 31 that has received the command executes the command and sets the parameters of the process (software).

As a result, the managed device 3 can effectively utilize the resources mounted on the scaled-up target server 31 after the target server 31 is scaled up.

[Flowchart of processing of management device]
Here, a flowchart of processing performed by the management device 1 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of a flowchart of processing of the management device according to the embodiment. As shown in FIG. 4, the receiving unit 11 determines whether or not the scale-up information of the target server 31 has been received (step S11). The scale-up information here includes the host name of the scaled-up target server 31 and the amount of resources after the scale-up. When it is determined that the scale-up information of the target server 31 has not been received (step S11; No), the receiving unit 11 repeats the determination process until the information is received.

On the other hand, if it is determined that the scale-up information of the target server 31 has been received (step S11; Yes), the determination unit 12 acquires the name of the process being executed on the target server 31 from the server information table 21 (step S12 ). For example, the determining unit 12 acquires the host name and the process name corresponding to the resource type of the scaled-up resource from the server information table 21 .

Then, the determination unit 12 refers to the resource usage rate table 22 and calculates the resource usage to be set for the process indicated by the acquired process name (step S13). For example, the determining unit 12 acquires conditions and usage rates corresponding to the acquired process name and the resource type of the scaled-up resource from the resource usage rate table 22 . Then, the determination unit 12 uses the acquired conditions and usage rate to calculate the optimum resource usage amount used by the process indicated by the process name from the resource amount of the resource after the scale-up.

Then, the generation unit 13 generates a command to be executed by the target server 31 using the calculated resource usage amount and the server information table 21 (step S14). For example, the generation unit 13 substitutes the calculated resource usage amount for the command acquired from the server information table 21 together with the process name to generate a command to be set as a parameter.

Then, the transmission unit 14 notifies the generated command to the hypervisor 30 of the managed device 3 (step S15).

[Management processing sequence]
Here, a sequence of management processing performed by the system 9 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of a sequence of management processing according to the embodiment. Note that the server information table 21 will be described as having the contents shown in FIG. Also, the resource usage rate table 22 will be described as having the contents shown in FIG.

For example, assume that the memory capacity of the host name "Server01" is scaled up to "4 GB" in the target server 31 (S21). Then, the hypervisor 30 of the managed device 3 detects the scale-up of the host name "Server01" (S22). Then, the hypervisor 30 notifies the management apparatus 1 of scale-up information including the host name of "Server01" and the amount of memory after scale-up of "4 GB" (S23).

The management device 1 that has received the notification of the scale-up information from the hypervisor 30 retrieves the process name "process1" of the process that is being executed using the memory on the target server 31 indicated by the host name "Server01" from the server information table 21. Acquire (S24). Then, the management device 1 calculates the memory usage to be set for the process indicated by the process name "process1" from the resource usage rate table 22 as "4 (GB) x 0.3 = 1.2 GB" (S25). . Here, from the resource usage rate table 22, the management device 1 determines that "mounted memory capacity"≧0 GB and "mounted memory capacity"<16 GB" as the conditions corresponding to the process name "process1" and the resource type "memory". Get "30%" as the rate. The amount of memory "4 GB" after scaling up matches the acquired condition. Therefore, the management device 1 uses the scaled-up memory amount “4 GB” and the acquired usage rate “30%” to set the memory usage amount “1.2 GB” to the process indicated by the process name “process1”. to calculate

Then, the management device 1 generates a command to be executed by the target server 31 indicated by the host name "Server01" from the memory usage and the server information table 21 (S26). Here, "ALTER SYSTEM SET MEMORY_TARGET=xxx (unit) SCOPE=SPFILE" is acquired as a command. The management device 1 substitutes "1.2 GB" for "xxx (unit)" and generates the command "ALTER SYSTEM SET MEMORY_TARGET=1.2 GB SCOPE=SPFILE".

The management device 1 then notifies the hypervisor 30 of the managed device 3 of the generated command (S27).

The hypervisor 30 that has received the notification of the command from the management device 1 transmits the notified command to the host name "Server01" using the function of the hypervisor 30 (S28). The target server 31 whose host name is "Server01" executes the command sent from the hypervisor 30 (S29). When the target server 31 executes the command, the parameter of the process indicated by the process name "process1" executed by the target server 31 is set from "P_mem=1.0 GB" to "P_mem=1.2 GB", for example. . This allows the target server 31 to optimally use the scaled-up resources after scaling up. In other words, the managed device 3 can effectively utilize the resources installed in the scaled-up target server 31 after the target server 31 is scaled up.

[Effect of Example]
According to the above embodiment, when receiving the identifier of the scaled-up target server 31 and the resource amount of the resource after the scale-up, the management device 1 determines the target The optimal resource usage amount is determined for each piece of software executed on the server 31 . Then, the management device 1 generates a command for setting the parameter so that the determined resource usage amount is obtained. The management device 1 then transmits the generated command to the scaled-up target server 31 . According to such a configuration, the management device 1 can immediately and effectively utilize resources in the target server 31 due to scale-up.

Further, according to the above-described embodiment, the management device 1 determines the optimum resource usage amount for each piece of software executed on the target server 31 based on the resource usage rate corresponding to the resource-related conditions for each piece of software. . According to such a configuration, the management device 1 can optimize the resources used by the software executed within the target server 31 even if the resources within the target server 31 are scaled up.

Further, according to the above embodiment, the management device 1 receives the host name of the target server 31 and the resource amount after the scale-up from the hypervisor 30 that has detected the target server 31, which is a scaled-up virtual machine. . The management device 1 then transmits the generated command to the target server 31 via the hypervisor 30 . According to such a configuration, the management device 1 can effectively utilize the resources in the virtual machine by scaling up.

[others]
In the above embodiment, the case where the management device 1 generates a command for the scaled-up target server 31 so as to optimize the resource usage of the software executed on the target server 31 has been described. . However, the management device 1 is not limited to this, and may generate a command targeting the scaled-down target server 31 so as to optimize the resource usage of the software executed on the target server 31. can be Even in such a case, the management device 1 can immediately and effectively utilize resources in the target server 31 due to scale-down.

In the above-described embodiment, the management apparatus 1 calculates the amount of resources used by the software executed by the target server 31 in the operating environment in which the target server 31 , which is a virtual machine, operates on the hypervisor 30 . The case of optimizing is explained. However, the management device 1 is not limited to this, and may be a case of optimizing the amount of resources used by the software executed by the target server 31 for the target server 31 in the cloud environment. Even in such a case, the management device 1 can immediately and effectively utilize resources in the target server 31 due to scale-out and scale-down.

Further, in the above embodiment, the case where the management device 1 is an information processing device different from the managed device 3 having the target server 31 to be scaled up has been described. However, the information processing apparatus may have multiple target servers 31 on the hypervisor 30 and one of the multiple servers 31 may have the function of the management apparatus 1 .

Further, in the above embodiment, each component of the illustrated management apparatus 1 does not necessarily have to be physically configured as illustrated. That is, the specific aspects of the distribution and integration of the management device 1 are not limited to those illustrated, and all or part of them can be functionally or physically distributed in arbitrary units according to various loads and usage conditions. • Can be integrated and configured. For example, the determination unit 12 and the generation unit 13 may be integrated into one functional unit. Alternatively, the storage unit 20 may be connected via a network as an external device of the management device 1 .

Moreover, various processes described in the above embodiments can be realized by executing a prepared program on a computer such as a personal computer or a work station. Therefore, an example of a computer that executes a management program that implements the same functions as those of the management apparatus 1 shown in FIG. 1 will be described below. FIG. 6 is a diagram illustrating an example of a computer that executes a management program;

As shown in FIG. 6, the computer 200 has a CPU (Central Processing Unit) 203 that executes various arithmetic processes, an input device 215 that receives data input from the user, and a display device 209 . The computer 200 also has a drive device 213 that reads programs and the like from a storage medium, and a communication I/F (Interface) 217 that exchanges data with other computers via a network. The computer 200 also has a memory 201 that temporarily stores various information and a HDD (Hard Disk Drive) 205 . The memory 201 , CPU 203 , HDD 205 , display device 209 , drive device 213 , input device 215 and communication I/F 217 are connected via a bus 219 .

The drive device 213 is a device for the removable disk 211, for example. HDD 205 stores a management program 205a and management processing related information 205b. A communication I/F 217 serves as an interface between the network and the inside of the apparatus, and controls input/output of data from other computers. For the communication I/F 217, for example, a modem, a LAN adapter, or the like can be adopted.

A display device 209 is a display device that displays data such as a cursor, an icon, a toolbox, documents, images, and functional information. The display device 209 can employ, for example, a liquid crystal display or an organic EL (Electroluminescence) display.

The CPU 203 reads the management program 205a, develops it in the memory 201, and executes it as a process. Such a process corresponds to each functional unit of the management device 1. FIG. The management processing related information 205b includes, for example, the server information table 21 and the resource usage rate table 22. FIG. For example, the removable disk 211 stores information such as the management program 205a.

Note that the management program 205a does not necessarily have to be stored in the HDD 205 from the beginning. For example, the program is stored in a “portable physical medium” such as a flexible disk (FD), CD-ROM, DVD disk, magneto-optical disk, IC card, etc. inserted into the computer 200 . Then, the computer 200 may read and execute the management program 205a from these.

The following notes are further disclosed with respect to the embodiments including the above examples.

(Appendix 1) Receive the identifier of the scaled-up server and the resource amount of the resource after the scale-up,
Determining an optimum resource usage amount for each piece of software executed on the server based on a preset resource usage rate for each piece of software,
Generate a command to set parameters to the determined resource usage,
A management program that causes a computer to execute a process of sending a generated command to the server.

(Appendix 2) The determining process is characterized by determining the optimum resource usage amount for each piece of software executed on the server based on the resource usage rate according to the resource-related conditions for each piece of software. A management program according to Appendix 1.

(Appendix 3) The receiving process receives the host name of the virtual machine and the resource amount of the resource after scale-up from the hypervisor that has detected the server that is the scaled-up virtual machine,
The management program according to appendix 1, wherein the sending process sends the command to the virtual machine via the hypervisor.

(Appendix 4) a receiving unit that receives the identifier of the scaled-up server and the resource amount of the resource after the scale-up;
a determination unit that determines an optimum resource usage for each piece of software executed by the server based on a preset resource usage rate for each piece of software;
a generation unit that generates a command for setting a parameter to the resource usage amount determined by the determination unit;
a transmission unit that transmits the command generated by the generation unit to the server;
A management device characterized by having:

(Appendix 5) Receive the identifier of the scaled-up server and the resource amount of the resource after the scale-up,
Determining an optimum resource usage amount for each piece of software executed on the server based on a preset resource usage rate for each piece of software,
Generate a command to set the parameter so that the determined resource usage amount will be used),
send the generated command to the server)
A management method in which processing is performed by a computer.

(Appendix 6) Detecting a virtual machine scaled up by a hypervisor,
receiving the host name of the virtual machine and the resource amount of the resource after scale-up from the hypervisor;
Determining an optimal resource usage amount for each piece of software executed in the virtual machine based on a preset resource usage rate for each piece of software,
Generate a command to set parameters to the determined resource usage,
sending the command to the virtual machine through the hypervisor;
A management method in which a computer executes a process of executing the command by the virtual machine.

1 management device 3 managed device 9 system 10 control unit 11 reception unit 12 determination unit 13 generation unit 14 transmission unit 20 storage unit 21 server information table 22 resource usage table 30 hypervisor 31 target server

Claims (5)

Receive the identifier of the scaled-up server and the resource amount of the resource after scale-up,
Determining an optimum resource usage amount for each piece of software executed on the server based on a preset resource usage rate for each piece of software,
Generate a command to set parameters to the determined resource usage,
A management program that causes a computer to execute a process of sending a generated command to the server. 2. The determining process determines an optimum resource usage amount for each piece of software executed by the server based on a resource usage rate corresponding to a resource-related condition for each piece of software. Management program as described. The receiving process receives the host name of the virtual machine and the resource amount of the resource after scale-up from the hypervisor that has detected the server that is the scaled-up virtual machine,
2. The management program according to claim 1, wherein the sending process sends the command to the virtual machine via the hypervisor. a receiver that receives the identifier of the scaled-up server and the resource amount of the resource after the scale-up;
a determination unit that determines an optimum resource usage for each piece of software executed by the server based on a preset resource usage rate for each piece of software;
a generation unit that generates a command for setting a parameter to the resource usage amount determined by the determination unit;
a transmission unit that transmits the command generated by the generation unit to the server;
A management device characterized by having: Receive the identifier of the scaled-up server and the resource amount of the resource after scale-up,
Determining an optimum resource usage amount for each piece of software executed on the server based on a preset resource usage rate for each piece of software,
Generate a command to set parameters to the determined resource usage,
A management method in which a computer executes a process of sending a generated command to the server.

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