JP6951637B2 - Survey data collection program, survey data collection device and survey data collection method - Google Patents

Description

The present invention relates to a survey data collection program, a survey data collection device, and a survey data collection method.

For example, a business operator that provides a service to a user (hereinafter, also simply referred to as a business operator) constructs and operates a business system (hereinafter, also referred to as an information processing system) for providing the service. Specifically, the business operator constructs a business system in, for example, one or more virtual machines (hereinafter, also referred to as VM: Virtual Machine) generated in a physical machine.

Then, for example, the business operator makes a virtual machine (hereinafter, also referred to as an investigation VM) that synchronizes with a virtual machine (hereinafter, also referred to as an operation VM) in which a business system operates, a physical machine different from the physical machine in which the operation VM is generated. Generate on the machine. As a result, even if a failure occurs in the operation VM or the physical machine in which the operation VM is generated and it becomes difficult to access the operation VM, the operator can access the investigation VM by accessing the investigation VM. It becomes possible to check the status of the operating VM and collect necessary materials (see, for example, Patent Documents 1 to 3).

Japanese Unexamined Patent Publication No. 2016-206705 Japanese Unexamined Patent Publication No. 2006-039763 International Publication No. 2015/145664

When the operation VM and the investigation VM are synchronized, the physical machine in which the operation VM is generated transmits, for example, all the data possessed by the operation VM to the physical machine in which the investigation VM is generated. Then, when the physical machine in which the investigation VM is generated receives data from the physical machine in which the operation VM is generated, for example, a new investigation VM reflecting the received data is generated. That is, the physical machine in which the investigation VM is generated generates a new investigation VM every time data is received from the physical machine in which the operation VM is generated, for example. As a result, the business operator can investigate not only the current operation VM but also the operation VM in the past state by accessing the investigation VM.

However, when the amount of data possessed by the operating VM is enormous, the processing load of each physical machine due to the transmission of the data possessed by the operating VM increases. Therefore, the physical machine in which the operation VM is generated needs to efficiently transmit the data possessed by the operation VM when the operation VM and the investigation VM are synchronized.

Therefore, one aspect is to provide a survey data collection program, a survey data collection device, and a survey data collection method that enable efficient transmission of data necessary for synchronizing virtual machines. And.

According to one aspect of the embodiment, a plurality of monitoring data relating to the first virtual machine in each of the plurality of periods are acquired, and based on the acquired plurality of monitoring data, the operating state of the first virtual machine is determined. The change tendency is calculated, and based on the calculated change tendency, the difference data between the data held by the first virtual machine and the data held by the second virtual machine that synchronizes with the first virtual machine is obtained from the second. When it is determined whether or not to transmit to the virtual machine and it is determined to transmit the difference data, the computer is made to execute the process of instructing the transmission of the difference data.

According to one aspect, it is possible to efficiently transmit the data necessary for synchronizing virtual machines.

FIG. 1 is a diagram showing an overall configuration of the information processing system 10. FIG. 2 is a diagram illustrating a hardware configuration of the management device 1. FIG. 3 is a diagram illustrating a hardware configuration of the information processing device 2. FIG. 4 is a functional block diagram of the management device 1. FIG. 5 is a flowchart illustrating an outline of the survey data collection process according to the first embodiment. FIG. 6 is a diagram illustrating an outline of a survey collection process according to the first embodiment. FIG. 7 is a diagram illustrating an outline of a survey collection process according to the first embodiment. FIG. 8 is a diagram illustrating an outline of a survey collection process according to the first embodiment. FIG. 9 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 10 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 11 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 12 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 13 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 14 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 15 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 16 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 17 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 18 is a flowchart illustrating the details of the survey data collection process according to the first embodiment. FIG. 19 is a diagram illustrating a specific example of the monitoring data 131. FIG. 20 is a diagram illustrating a specific example of the history data 132. FIG. 21 is a diagram illustrating a specific example of the history data 132. FIG. 22 is a diagram illustrating a specific example of the monitoring data 131. FIG. 23 is a diagram illustrating a specific example of the history data 132. FIG. 24 is a diagram illustrating a specific example of the history data 132. FIG. 25 is a diagram illustrating a specific example of the history data 132. FIG. 26 is a diagram illustrating a specific example of the history data 132. FIG. 27 is a flowchart illustrating a survey data collection process according to the second embodiment. FIG. 28 is a diagram illustrating a specific example of the monitoring data 131 according to the second embodiment.

[Information processing system configuration]
FIG. 1 is a diagram showing an overall configuration of the information processing system 10. The information processing system 10 shown in FIG. 1 is, for example, a business system for providing a service to a user. The information processing system 10 shown in FIG. 1 includes a management device 1 for generating a VM3c for investigation, an information processing device 2 for generating an operation VM3a, and a management device 1 and an information processing device via a network such as the Internet. It has 2 and a plurality of business terminals 5 for accessing.

The management device 1 and the information processing device 2 are each composed of one or more physical machines. Each physical machine has a CPU (Central Computing Unit), a memory (DRAM: Dynamic Random Access Memory), and a hard disk (HDD: Hard Disk Drive).

As shown in FIG. 1, the virtualization software 4b of the management device 1 generates one or more investigation VM3c by allocating the physical resources of the management device 1. Further, as shown in FIG. 1, the virtualization software 4a of the information processing device 2 generates one or more operating VM3a by allocating the physical resources of the information processing device 2.

Then, the management device 1 and the information processing device 2 synchronize the operation VM3a and the investigation VM3c at a predetermined timing. Specifically, for example, each time the information processing device 2 transmits data held by the operation VM3a, the management device 1 generates a new investigation VM3c in the management device 1 and transmits the data from the information processing device 2. Reflect the data. As a result, by accessing the investigation VM3c, the management device 1 can investigate not only the current operation VM3a but also the operation VM3a in the past state.

However, when the amount of data possessed by the operating VM3a is enormous, the processing load of the information processing device 2 due to the transmission of data to the management device 1 and the processing load of the management device 1 due to the generation of a new investigation VM3c increase. do. Therefore, the business operator needs to efficiently transmit data for synchronizing the operation VM3a and the survey VM3c.

Therefore, the management device 1 in the present embodiment acquires a plurality of monitoring data related to the operation VM3a in each of the plurality of periods from the operation VM3a (hereinafter, also referred to as the first virtual machine 3a). Then, the management device 1 calculates the change tendency of the operating state of the operation VM3a based on the acquired plurality of monitoring data.

After that, the management device 1 transmits the difference data between the data held by the operation VM3a and the data held by the survey VM3c (hereinafter, also referred to as the second virtual machine 3c) to the survey VM3c based on the calculated change tendency. Determine whether or not to do so. Then, when the management device 1 determines that the difference data is to be transmitted, the management device 1 instructs the investigation VM3c to transmit the difference data.

That is, when the management device 1 synchronizes the operation VM3a with the investigation VM3c, the management device 1 transmits the data possessed by the operation VM3a to the investigation VM3c to the virtualization software 4a of the information processing device 2. Instruct to send only non-existent data (difference data). Further, in this case, the management device 1 instructs the transmission of the difference data to the investigation VM3c only when the change tendency calculated based on the monitoring data acquired from the operation VM3a satisfies a predetermined condition.

As a result, the management device 1 can suppress the amount of data transmitted by the operation VM3a to the storage area of the investigation VM3c and the frequency of data transmission. Therefore, the management device 1 can reduce the processing load of the information processing device 2 due to the transmission of data to the storage area of the investigation VM3c.

The virtualization software 4a has, for example, a storage area accessible to the investigation VM3c (hereinafter, also simply referred to as a storage area of the investigation VM3c) when receiving an instruction to transmit the difference data from the management device 1. And send the difference data. Then, the management device 1 generates, for example, a survey VM3c that reflects at least a part of the difference data stored in the storage area of the survey VM3c in response to receiving an instruction from the business operator. The operation VM3a corresponding to a predetermined generation and the investigation VM3c are synchronized.

As a result, the management device 1 can suppress the number of survey VM3c generated at the same time. Therefore, the management device 1 can reduce the processing load of the management device 1 due to the generation of the investigation VM3c.

[Hardware configuration of information processing system]
Next, the hardware configuration of the information processing system 10 will be described. FIG. 2 is a diagram illustrating a hardware configuration of the management device 1. Further, FIG. 3 is a diagram illustrating a hardware configuration of the information processing device 2.

As shown in FIG. 2, the management device 1 includes a CPU 101 which is a processor, a memory 102, an external interface (I / O unit) 103, a storage medium (storage) 104, and a display device 105 which displays various information. Has. The parts are connected to each other via the bus 106.

The storage medium 104 stores a program 110 in a program storage area (not shown) in the storage medium 104 for performing a process of collecting data related to the operation VM3a (hereinafter, also referred to as a survey data collection process). The storage medium 104 may be, for example, an HDD.

Further, the storage medium 104 has, for example, an information storage area 130 (hereinafter, also referred to as a storage unit 130) for storing information used when performing a survey data collection process. The storage area of the investigation VM3c corresponds to, for example, the information storage area 130.

The CPU 101 executes the program 110 loaded from the storage medium 104 into the memory 102 to perform the investigation data collection process.

The external interface 103 communicates with the information processing device 2 and the business terminal 5.

Then, as shown in FIG. 3, the information processing device 2 displays a processor 201, a memory 202, an external interface (I / O unit) 203, a storage medium (storage) 204, and various information. It has a device 205. The parts are connected to each other via the bus 206.

The storage medium 204 stores a program 210 for performing various processes in a program storage area (not shown) in the storage medium 204. The storage medium 204 may be, for example, an HDD.

Further, the storage medium 204 has, for example, an information storage area 230 (hereinafter, also referred to as a storage unit 230) for storing information used when performing a survey data collection process.

The CPU 201 executes the program 210 loaded from the storage medium 204 into the memory 202 to perform the investigation data collection process.

The external interface 203 communicates with the management device 1 and the business terminal 5.

[Software configuration of information processing system]
Next, the software configuration of the information processing system 10 will be described. FIG. 4 is a functional block diagram of the management device 1.

As shown in FIG. 4, the management device 1 has a VM generation instruction unit 111, a monitoring data acquisition unit 112, and a change tendency due to the organic cooperation between the hardware such as the CPU 101 and the memory 102 and the program 110. Various functions including a calculation unit 113, a transmission determination unit 114, a transmission instruction unit 115, and an information storage unit 116 are realized.

Further, as shown in FIG. 4, the monitoring data 131, the history data 132, and the difference data 133 are stored in the information storage area 130 described with reference to FIG.

The VM generation instruction unit 111 instructs the virtualization software 4a of the information processing device 2 to generate the investigation VM3c in the management device 1. Further, the VM generation instruction unit 111 instructs the virtualization software 4a to transmit the data of the operation VM3a to the information storage area 130 (storage area of the investigation VM3c). Specifically, in this case, the VM generation instruction unit 111 has data stored in the memory of the operation VM3a (a part of the memory 202 of the information processing device 2) and the CPU of the operation VM3a (CPU 201 of the information processing device 2). Instruct to send with the context of). That is, the VM generation instruction unit 111 synchronizes the data possessed by the operation VM3a with the data possessed by the survey VM3c as the investigation VM3c is generated. Hereinafter, the data transmitted to the information storage area 130 according to the instruction from the VM generation instruction unit 111 is also referred to as the initial transmission data.

The monitoring data acquisition unit 112 acquires a plurality of monitoring data 131 of the operation VM3a in each of the plurality of periods from the virtualization software 4a. The monitoring data 131 may be, for example, data including an operation time in the CPU of the operation VM3a (a part of the CPU 201 included in the information processing device 2). Further, the monitoring data 131 may be data including, for example, the time from the interruption to the response to the CPU of the operation VM3a. Further, the monitoring data 131 may be data including, for example, the number of interrupts to the CPU of the operation VM3a. Then, the monitoring data acquisition unit 112 stores the acquired monitoring data 131 in the information storage area 130.

The monitoring data acquisition unit 112 may transmit the transmission instruction of the monitoring data 131 to the virtualization software 4a. Then, the monitoring data acquisition unit 112 may acquire the monitoring data 131 transmitted from the virtualization software 4a.

The change tendency calculation unit 113 calculates the change tendency of the operating state of the operation VM3a based on the plurality of monitoring data 131 acquired by the monitoring data acquisition unit 112.

The transmission determination unit 114 causes the information storage area 130 to transmit the difference data 133, which is the data not transmitted to the investigation VM3c among the data possessed by the operation VM3a, based on the change tendency calculated by the change tendency calculation unit 113. Judge whether or not.

When the transmission instruction unit 115 determines that the difference data 133 is to be transmitted, the transmission instruction unit 115 instructs the virtualization software 4a to transmit the difference data 133 to the information storage area 130. Then, in this case, in this case, for example, among the data stored in the memory 202, the data updated after the difference data 133 is transmitted to the information storage area 130 last time (hereinafter, Dirty). (Also referred to as data) is specified, and the specified Dirty data is transmitted to the information storage area 130 as difference data 133. Specifically, in this case, the virtualization software 4a enters the memory 202 by referring to a flag (hereinafter, also referred to as a Dirty flag) that manages information on whether or not the data has been updated for each data of a predetermined size. The Dirty data is specified from the stored data.

The Dirty flag is, for example, a flag located in the memory 202, and the information is set by the virtualization software 4a. Specifically, in the Dirty flag, it is necessary to send information (need to be transmitted to the information storage area 130) indicating that the data has been updated in response to the corresponding data being updated in response to the processing by the operation VM3a. Information indicating that) is set. Further, in the Dirty flag, information indicating that the data has not been updated (it is not necessary to transmit to the information storage area 130) in response to the corresponding data (Dirty data) being transmitted to the information storage area 130. Information indicating) is set.

The information storage unit 116 receives the difference data 133 transmitted by the virtualization software 4a. Then, the information storage unit 116 stores the received difference data 133 in the information storage area 130. In this case, the information storage unit 116 stores, for example, the difference data 133 transmitted from the virtualization software 4a by dividing it into generations. Further, the information storage unit 116 stores the history data 132 including the identification information of the monitoring data 131 acquired by the monitoring data acquisition unit 112 and the identification information of the difference data 133 received by the information storage unit 116, for example, in the information storage area 130. Remember in.

In the following description, it is assumed that the difference data 133 includes the data (initial transmission data) transmitted to the information storage area 130 by the instruction from the VM generation instruction unit 111.

[Outline of the first embodiment]
Next, the outline of the first embodiment will be described. FIG. 5 is a flowchart illustrating an outline of the survey data collection process according to the first embodiment. 6 to 8 are diagrams for explaining the outline of the survey collection process according to the first embodiment. The outline of the survey data collection process shown in FIG. 5 will be described with reference to FIGS. 6 to 8.

As shown in FIG. 5, the management device 1 waits until the monitoring data acquisition timing is reached (NO in S1). The monitoring data acquisition timing may be a periodic timing such as every minute.

Then, when the monitoring data acquisition timing comes (YES in S1), as shown in FIG. 6, the management device 1 acquires a plurality of monitoring data 131 relating to the operation VM3a in each of the plurality of periods (S2). Specifically, the management device 1 acquires a plurality of monitoring data 131 from the virtualization software 4a of the information processing device 2. Then, the management device 1 stores the acquired plurality of monitoring data 131 in the information storage area 130.

Subsequently, as shown in FIG. 6, the management device 1 calculates the change tendency of the operating state of the operation VM3a based on the plurality of monitoring data 131 acquired in the process of S2 (S3). Then, as shown in FIG. 7, the management device 1 has a difference data 133 between the data possessed by the operation VM3a and the data possessed by the survey VM3c synchronized with the operation VM3a based on the change tendency calculated in the process of S3. Is transmitted to the investigation VM3c (information storage area 130) (S4).

As a result, when it is determined that the difference data 133 is to be transmitted to the investigation VM3c (YES in S5), the management device 1 gives an instruction to transmit the difference data 133 as shown in FIG. 7 (S6). Specifically, in this case, the management device 1 instructs the virtualization software 4a to transmit the difference data 133. On the other hand, when it is determined that the difference data 133 is not transmitted to the investigation VM3c (NO in S5), the management device 1 does not perform the processing in S6.

After that, as shown in FIG. 8, the virtualization software 4a transmits the Dirty data among the data stored in the memory 202 of the information processing device 2 to the investigation VM3c as the difference data 133. Specifically, the virtualization software 4a transmits the difference data 133 to the virtualization software 4b of the management device 1. Then, when the virtualization software 4b receives the difference data 133 transmitted from the virtualization software 4a, the virtualization software 4b stores the received difference data 133 in the information storage area 130.

That is, when the management device 1 synchronizes the operation VM3a with the investigation VM3c, the management device 1 transmits only the difference data 133 that has not been transmitted to the investigation VM3c to the virtualization software 4a of the information processing device 2. Instruct. Further, in this case, the management device 1 acquires the monitoring data 131 having a smaller amount of data than the difference data 133 from the virtualization software 4a, and the change tendency calculated based on the acquired monitoring data 131 satisfies a predetermined condition. Only in the case of, the transmission of the difference data 133 to the investigation VM3c is instructed.

As a result, the management device 1 can suppress the amount of data transmitted by the operation VM3a to the investigation VM3c and the frequency of data transmission. Therefore, the management device 1 can suppress the load of the operation VM3a due to the transmission of data to the investigation VM3c.

In the example described with reference to FIGS. 5 to 8, the case where the virtualization software 4a transmits the Dirty data among the data stored in the memory 202 as the difference data 133 has been described. On the other hand, the virtualization software 4a transmits not only the Dirty data among the data stored in the memory 202 but also the Dirty data among the data stored in the storage medium 204 as the difference data 133. You may.

[Details of the first embodiment]
Next, the details of the first embodiment will be described. 9 to 18 are flowcharts illustrating the details of the survey data collection process according to the first embodiment. Further, FIGS. 19 to 26 are diagrams for explaining the details of the survey data collection process in the first embodiment. The survey data collection process shown in FIGS. 9 to 18 will be described with reference to FIGS. 19 to 26.

[Survey data collection process at the start of monitoring]
First, the survey data collection process (hereinafter, also referred to as the survey data collection process at the start of monitoring) performed when the monitoring of the operation VM3a is started will be described. 9 and 10 are flowcharts illustrating a specific example of the survey data collection process at the start of monitoring.

As shown in FIG. 9, the VM generation instruction unit 111 of the management device 1 waits until the VM monitoring start timing is reached (NO in S11). The VM monitoring start timing may be, for example, the timing at which information indicating that the operation VM3a is to be started is input by the business operator.

Then, when the VM monitoring start timing is reached (YES in S11), the VM generation instruction unit 111 synchronizes the data between the operation VM3a and the investigation VM3c with the virtualization software 4a of the information processing device 2. Instruct (S12). Specifically, the VM generation instruction unit 111 instructs the virtualization software 4a to transmit the data (initial transmission data) of the operation VM3a to the information storage area 130.

Subsequently, the monitoring data acquisition unit 112 of the management device 1 waits until the data synchronization between the operation VM3a and the investigation VM3c is completed (NO in S13). Then, when the data synchronization between the operation VM3a and the investigation VM3c is completed (YES in S13), the monitoring data acquisition unit 112 transmits a transmission instruction of the monitoring data 131 to the virtualization software 4a (YES in S13). S14).

After that, the monitoring data acquisition unit 112 waits until the monitoring data 131 is received from the virtualization software 4a (NO in S15). That is, until the monitoring data acquisition unit 112 acquires necessary data from the CPU 201 or the like of the information processing device 2 to generate the monitoring data 131, and transmits the generated monitoring data 131 to the management device 1. stand by. Hereinafter, a specific example of the monitoring data 131 will be described.

[Specific example of monitoring data]
19 and 22 are diagrams for explaining a specific example of the monitoring data 131. In the following description, it is assumed that the monitoring data 131 includes the operating time per unit time in the CPU 201 of the information processing device 2.

The monitoring data 131 shown in FIG. 19 and the like includes an "item number" that identifies each data included in the monitoring data 131, "identification information" in which identification information of each data is set, and each data by the virtualization software 4a. It has a "generation time" as an item in which the generation time of is set. Further, the monitoring data 131 shown in FIG. 19 and the like is generated by the "cumulative operating time" in which the cumulative operating time of the CPU of the operation VM3a (a part of the CPU 201 of the information processing device 2) is set and the previous monitoring data 131. It has an item of "operation time increase amount" in which the operation time of the CPU of the operation VM3a is set after the operation.

Specifically, in the monitoring data 131 shown in FIG. 19, "A001" is set as the "identification information" and "5:12:26" is set as the "generation time" for the data whose "item number" is "1". Is set, "171953.29 (seconds)" is set as the "cumulative operating time", and "+0.00 (seconds)" is set as the "operating time increase amount". That is, the monitoring data 131 received by the monitoring data acquisition unit 112 in the processing of S15 is the monitoring data 131 that is first received after the monitoring of the operation VM3a is started. Therefore, "+0.00 (seconds)" is set in the "operating time increase amount" of the monitoring data 131 shown in FIG.

Returning to FIG. 9, when the monitoring data 131 is received from the virtualization software 4a (YES in S15), the monitoring data acquisition unit 112 receives, for example, the identification information of the monitoring data 131 received in the processing of S15 and the processing of S15. The history data 132 including the identification information of the monitoring data 131 received in 1 is stored in the information storage area 130 (S16). Hereinafter, a specific example of the history data 132 will be described.

[Specific example of historical data]
20, FIG. 21 and FIGS. 23 to 26 are diagrams for explaining a specific example of the history data 132.

In the history data 132 shown in FIG. 20 and the like, a "item number" for identifying each data included in the history data 132, a "generation date and time" for setting the generation date and time of each data, and a generation timing of each data are set. It has a "trigger" as an item. Further, the history data 132 shown in FIG. 20 and the like is virtual as "monitoring data" in which the identification information of the monitoring data 131 is set and "change tendency" in which the change tendency calculated based on the monitoring data 131 is set. The item includes "difference data" in which the identification information of the difference data 133 transmitted from the conversion software 4a is set.

Specifically, in the process of S16, the monitoring data acquisition unit 112 sets "5/20 05:12:26" as the "generation date and time" in the data in which the "item number" is "1", as shown in FIG. And set "A001" as "monitoring data". Further, the monitoring data acquisition unit 112 indicates that the history data 132 is the history data 132 generated in the investigation data collection process at the start of monitoring as the "trigger" in the data whose "item number" is "1". To set. Further, the monitoring data acquisition unit 112 sets “(Null)” indicating that no information is set in the “change tendency” and the “difference data” in the data in which the “item number” is “1”.

Returning to FIG. 10, the transmission instruction unit 115 of the management device 1 transmits the transmission instruction of the difference data 133 to the virtualization software 4a (S21). Then, the information storage unit 116 of the management device 1 waits until the difference data 133 is received from the virtualization software 4a (NO in S22). That is, the information storage unit 116 waits until the virtualization software 4a that has received the transmission instruction transmitted by the transmission instruction unit 115 transmits the difference data 133.

After that, when the difference data 133 is received (YES in S22), the information storage unit 116 stores the difference data 133 received in the process of S22 in the information storage area 130 (S23).

Further, in this case, the information storage unit 116 uses the identification information of the difference data 133 received in the process of S22 as a part of the history data 132 including the identification information of the monitoring data 131 received in the process of S15 in the information storage area 130. It is stored in (S24).

Specifically, as shown in FIG. 21, the information storage unit 116 converts the "difference data" of the data in which the "item number" is "1" in the history data 132 described with reference to FIG. 20 into the "difference data" in the processing of S22. “Tag_000”, which is the identification information of the received difference data 133, is set.

As a result, the information storage unit 116 associates the monitoring data 131 transmitted from the virtualization software 4a at the start of monitoring of the operation VM3a with the difference data 133 from the virtualization software 4a at the start of monitoring of the operation VM3a. Becomes possible.

[Survey data collection process during monitoring]
Next, the survey data collection process (hereinafter, also referred to as the survey data collection process during monitoring execution) performed after the monitoring of the operation VM3a is started will be described. 11 to 13 are flowcharts illustrating a specific example of the survey data collection process during monitoring execution.

As shown in FIG. 11, the monitoring data acquisition unit 112 waits until the synchronization execution timing is reached (NO in S31). The synchronous execution timing is, for example, a periodic timing or a timing at which the business operator inputs that the survey data collection process is to be performed. Further, the synchronous execution timing may be, for example, a timing before and after a survey on the operation of the operation VM3a (a survey accompanied by debugging performed using the survey VM3c) is performed by the business operator. Further, the synchronous execution timing may be, for example, a timing at which the monitoring of the operation VM3a is terminated.

Then, when the synchronous execution timing is reached (YES in S31), the monitoring data acquisition unit 112 transmits a transmission instruction of the monitoring data 131 to the virtualization software 4a (S32).

After that, the monitoring data acquisition unit 112 waits until the monitoring data 131 is received from the virtualization software 4a (NO in S33). That is, the monitoring data acquisition unit 112 generates the monitoring data 131 by acquiring the necessary data from the CPU 201 or the like of the information processing device 2 by the virtualization software 4a, as in the case of the initial processing of the investigation material at the start of monitoring. , Wait until the generated monitoring data 131 is transmitted to the management device 1.

Subsequently, when the monitoring data 131 is received from the virtualization software 4a (YES in S33), the monitoring data acquisition unit 112 receives the identification information of the monitoring data 131 received in the processing of S33 and the monitoring received in the processing of S33. The history data 132 including the identification information of the data 131 is stored in the information storage area 130 (S34). Hereinafter, specific examples of the monitoring data 131 and the history data 132 stored in the information storage area 130 in the process of S34 will be described.

[Specific example of monitoring data and history data stored in the process of S34]
FIG. 22 is a specific example of the monitoring data 131 stored in the information storage area 130 in the process of S34. Further, FIG. 23 is a specific example of the history data 132 stored in the information storage area 130 in the process of S34. Note that the examples shown in FIGS. 22 and 23 are examples in which data in which the “item number” is “13” is newly stored in the process of S34.

Specifically, the monitoring data 131 described with reference to FIG. 19 is set in the data in which the "item number" is "1" in the monitoring data 131 shown in FIG. 22. Further, in the data in which the "item number" is "13" in the monitoring data 131 shown in FIG. 22, "A013" is set as the "identification information" and "5:12:38" is set as the "generation time". Then, "171955.45 (seconds)" is set as the "cumulative operation time". Then, for the data in which the "item number" is "13" in the monitoring data 131 shown in FIG. 22, the "operation time increase amount" is set as the "cumulative operating time" of the data in which the "item number" is "13". The "cumulative operating time" of the set time "171955.45 (seconds)" and the data whose "item number" is "12" (the data immediately before the data whose "item number" is "13"). The difference time from "171955.24 (seconds)", which is the time set in, is set to "+0.21 (seconds)". Description of the other data included in FIG. 22 will be omitted.

Subsequently, the history data 132 described with reference to FIG. 21 is set in the data in which the “item number” is “1” in the history data 132 shown in FIG. 23. Further, in the data whose "item number" is "13" in the history data 132 shown in FIG. 23, "5/20 05:12:38" is set as the "generation date and time", and "A013" is set as the "monitoring data". "Is set. Then, the data whose "item number" is "13" in the history data 132 shown in FIG. 23 is "trigger", which indicates that the history data 132 is generated in the investigation data collection process during monitoring execution. "Periodic monitoring" is set. Further, "(Null)" indicating that no information is set is set in the "change tendency" and the "difference data" in the data in which the "item number" is "13". Description of the other data included in FIG. 23 will be omitted.

Returning to FIG. 11, the change tendency calculation unit 113 of the management device 1 acquires a predetermined number of history data 132 among the history data 132 stored in the information storage area 130 (S35). Specifically, in this case, the change tendency calculation unit 113 acquires a predetermined number of historical data 132 in order from the one with the newest generation date and time. When a predetermined number of historical data 132s are not stored in the information storage area 130, the change tendency calculation unit 113 keeps monitoring until the predetermined number of historical data 132s are stored in the information storage area 130. It may not be collected.

Then, the change tendency calculation unit 113 calculates the change tendency by using the predetermined number of history data 132 acquired in the process of S35 (S36). Hereinafter, the details of the processing of S36 will be described.

[Details of processing in S36]
FIG. 18 is a flowchart illustrating the details of the process of S36.

As shown in FIG. 18, the change tendency calculation unit 113 extracts the operating time increase amount of the CPU (a part of the CPU 201) of the operation VM3a from each of the monitoring data 131 acquired in the process of S35 (S101). Then, the change tendency calculation unit 113 calculates the average value of the operating time increase amount extracted in the process of S101 (S102). After that, the change tendency calculation unit 113 calculates the value obtained by differentiating the average value calculated in the process of S102 with time as the change tendency (S103).

Specifically, the change tendency calculation unit 113 refers to, for example, the monitoring data 131 described with reference to FIG. 22, and is set to the “operating time increase amount” of the data whose “item number” is from “6” to “13”. The values are "+0.16 (seconds)", "+0.17 (seconds)", "+0.21 (seconds)", "+0.17 (seconds)", "+0.13 (seconds)", " Acquire "+0.19 (seconds)", "+0.18 (seconds)", and "+0.21 (seconds)". Then, the change tendency calculation unit 113 calculates "+0.1775 (seconds)", which is the average value of the acquired values (S101, S102).

Further, the change tendency calculation unit 113 refers to, for example, the monitoring data 131 described with reference to FIG. 22, and is set to the “operating time increase amount” of the data whose “item number” is from “5” to “12”. "+0.15 (seconds)", "+0.16 (seconds)", "+0.17 (seconds)", "+0.21 (seconds)", "+0.17 (seconds)", "+0. 13 (seconds) ”,“ +0.19 (seconds) ”and“ +0.18 (seconds) ”are acquired. Then, the change tendency calculation unit 113 calculates "+0.17 (seconds)" which is the average value of the acquired values. Further, the change tendency calculation unit 113 calculates "0.0075 (seconds)" which is a value obtained by subtracting "+0.17 (seconds)" from the calculated "+0.1775 (seconds)". Here, the calculated value "0.0075 (seconds)" is equal to the value obtained by differentiating the average value calculated in the process of S102 with respect to time. Therefore, the change tendency calculation unit 113 calculates the calculated value "0.0075 (seconds)" as the change tendency (S103).

Returning to FIG. 12, the transmission determination unit 114 of the management device 1 determines whether or not the change tendency calculated in the process of S36 is equal to or greater than a predetermined threshold value (S41). Then, when the change tendency calculated in the process of S36 is equal to or greater than a predetermined threshold value (YES in S42), the transmission instruction unit 115 of the management device 1 performs the processes after S51 as shown in FIG.

That is, in this case, the management device 1 determines that an abnormality may occur in the operation VM3a, and instructs the information storage area 130 to transmit the difference data 133 as described later. As a result, the business operator can grasp the state of the operation VM3a and acquire information about the operation VM3a when an abnormality occurs by referring to the investigation VM3c that reflects the difference data 133.

The transmission determination unit 114 may determine whether or not the change tendency calculated in the process of S36 is less than a predetermined threshold value in the process of S41. Further, in the processing of S41, the transmission determination unit 114 determines whether the product of the change tendency calculated in the processing of S36 performed this time and the change tendency calculated in the processing of S36 performed last time is smaller than 0. It may be the one that determines whether or not.

On the other hand, when the change tendency calculated in the process of S36 is not equal to or more than a predetermined threshold value (NO in S42), the information storage unit 116 of the management device 1 monitors the change tendency calculated in the process of S36 received in the process of S33. It is stored in the information storage area 130 as a part of the history data 132 including the data 131 (S43). After that, the management device 1 ends the investigation data collection process during the monitoring execution.

That is, in this case, the management device 1 determines that the possibility of an abnormality occurring in the operation VM3a is low, and does not instruct the information storage area 130 to transmit the difference data 133. As a result, the management device 1 can efficiently transmit the difference data 133 to the information storage area 130, and can reduce the processing load of the information processing device 2.

Specifically, for example, when the predetermined threshold value in the processing of S41 is "0.0625 (seconds)", the change tendency "0.0075 (seconds)" calculated in the processing of S36 is more than the predetermined threshold value. Is also small (NO in S42). Therefore, the information storage unit 116 calculates the information set in the "change tendency" by the process of S36, such as the data in which the "item number" in the history data 132 shown in FIG. 24 is "13". Update to 0.0075 (seconds).

In this case, the change tendency calculated in the process of S36 is smaller than the predetermined threshold value, and the difference data 133 is not transmitted to the information storage area 130. Therefore, the information storage unit 116 does not update the information set in the "difference data" like the data in which the "item number" is "13" in the history data 132 shown in FIG. 24.

As a result, the information storage unit 116 did not acquire the identification information of the monitoring data 131 acquired from the information processing device 2, the change tendency calculated from the monitoring data 131, and the difference data 133 based on the change tendency. It becomes possible to associate with the information indicating that.

Returning to FIG. 12, when the change tendency calculated in the process of S36 is equal to or greater than a predetermined threshold value (S42YES), the transmission instruction unit 115 sets the difference data 133 with respect to the virtualization software 4a as shown in FIG. The transmission instruction is transmitted (S51). Then, the information storage unit 116 waits until the difference data 133 is received from the virtualization software 4a (NO in S52). That is, the information storage unit 116 waits until the virtualization software 4a that has received the transmission instruction generates the difference data 133 and transmits it to the management device 1.

After that, when the difference data 133 is received from the virtualization software 4a (YES in S52), the information storage unit 116 stores the difference data 133 received in the process of S52 in the information storage area 130 (S53). Then, the information storage unit 116 combines the change tendency calculated in the process of S36 and the identification information of the difference data 133 received in the process of S52 with a part of the history data 132 including the monitoring data 131 acquired in the process of S33. Is stored in the information storage area 130 (S54).

Specifically, for example, as shown in FIG. 25, when the predetermined threshold value is "0.0625 (seconds)" and the change tendency calculated in the process of S36 is "0.09125 (seconds)". , The change tendency calculated in the process of S36 is larger than a predetermined threshold value (YES in S42). Therefore, in this case, the transmission instruction unit 115 transmits the transmission instruction of the difference data 133 to the virtualization software 4a (S51).

Then, for example, as shown in FIG. 25, when the data having the “item number” of “14” is added to the history data 132 in the process of S34, the information storage unit 116 will perform the information storage unit 116 as shown in FIG. The information set in the "trigger" of the data in which the "item number" is "14" is updated to the "filter 1" indicating the calculation method of the change tendency including the processes of S101 to S103. Further, the information storage unit 116 updates the information set in the "change tendency" of the data whose "item number" is "14" to "0.09125 (seconds)" calculated in the process of S36. Further, in this case, the information storage unit 116 receives the information set in the "difference data" of the data in which the "item number" is "14" in the process of S52, unlike the case described with reference to FIG. 24. It is updated to "Tag_0xx" which is the identification information of the data 133 (S54).

As a result, the information storage unit 116 obtains the identification information of the monitoring data 131 acquired from the information processing device 2, the change tendency calculated from the monitoring data 131, and the identification information of the difference data 133 acquired based on the change tendency. Can be associated with each other.

Therefore, the information storage unit 116 can manage the difference data 133 stored in the information storage area 130 by dividing it into generations. Therefore, by referring to the history data 132 stored in the information storage area 130, the business operator can identify, for example, the generation that needs to be investigated among the past generations that can be restored by the operation VM3a. become.

In the process of S51, the transmission instruction unit 115 may transmit the identification information of the difference data 133 that gives the transmission instruction to the virtualization software 4a together with the transmission instruction of the difference data 133. Then, when the difference data 133 is transmitted to the management device 1, the virtualization software 4a may transmit the received identification information of the difference data 133 and the difference data 133 in association with each other.

[Survey data collection process before debugging (1)]
Next, the investigation data collection process (hereinafter, also referred to as the first debug) performed before debugging (hereinafter, also referred to as the first debug) for the data stored in the memory of the currently operating VM3a (a part of the memory 202 included in the information processing device 2). (Also called the investigation data collection process before executing the first debug) will be explained. 14 and 15 are flowcharts illustrating a specific example of the investigation data collection process before the execution of the first debug.

As shown in FIG. 14, the VM generation instruction unit 111 waits until it receives the start instruction of the first debug (NO in S61). The first debug start instruction is, for example, an instruction input to the management device 1 by the business operator.

Then, when the start instruction of the first debug is received (YES in S61), the VM generation instruction unit 111 sends all of the difference data 133 stored in the information storage area 130 to the virtualization software 4b of the management device 1. Is instructed to generate a VM3c for investigation reflecting the above (S62). Specifically, the VM generation instruction unit 111 reflects all of the difference data 133 including the data (initial transmission data) stored in the information storage area 130 in response to the instruction described in the process of S12 of the investigation VM3c. Instruct generation. That is, in this case, the VM generation instruction unit 111 instructs the generation of the investigation VM3c in the same state as the current operation VM3a by reflecting all of the difference data 133 stored in the information storage area 130. After that, the transmission instruction unit 115 waits until the generation of the investigation VM3c is completed (NO in S63).

Subsequently, when the generation of the investigation VM3c is completed (YES in S63), the transmission instruction unit 115 waits until the specification of the variable to be debugged is accepted (NO in S64). Specifically, the transmission instruction unit 115 waits until, for example, the business operator inputs the designation of the variable to be debugged to the management device 1.

Then, when the specification of the variable to be debugged is accepted (YES in S64), the transmission instruction unit 115 tells the virtualization software 4a the storage area corresponding to the variable received in the process of S64 (hereinafter, the debug target area). A transmission instruction for data (difference data 133) stored in (also referred to as) is transmitted (S65). After that, the VM generation instruction unit 111 waits until the difference data 133 stored in the debug target area is received from the virtualization software 4a (NO in S66).

Subsequently, when the difference data 133 is received (YES in S66), the VM generation instruction unit 111 reflects the difference data 133 received in the process of S66 in the investigation VM3c for the virtualization software 4b (S67). ..

After that, as shown in FIG. 15, the VM generation instruction unit 111 determines whether or not to continue debugging in the investigation VM3c (S71). Specifically, the VM generation instruction unit 111 determines, for example, whether or not the business operator has input information to the management device 1 to continue debugging in the investigation VM3c.

As a result, when it is determined that the debugging in the investigation VM3c is to be continued (YES in S71), the management device 1 performs the processing after S65 again. On the other hand, when it is determined that the debugging in the investigation VM3c is not continued (NO in S71), the VM generation instruction unit 111 instructs the virtualization software 4b to delete the investigation VM3c (S72).

After that, the VM generation instruction unit 111 waits until the deletion of the investigation VM3c is completed (NO in S73). Then, when the deletion of the investigation VM3c is completed (YES in S73), the management device 1 ends the investigation data collection process before the first debug execution.

This enables the business operator to investigate (debug) the data currently stored in the memory of the operation VM3a.

[Survey data collection process before debugging (2)]
Next, the investigation data collection process (hereinafter, the second debug execution) performed before the debug (hereinafter, also referred to as the second debug) for the data stored in the memory (a part of the memory 202) of the operation VM3a in the past state. (Also called the previous survey data collection process) will be explained. 16 and 17 are flowcharts illustrating a specific example of the investigation data collection process before the execution of the second debug.

As shown in FIG. 16, the VM generation instruction unit 111 waits until the start instruction of the second debug is received (NO in S81). The second debug start instruction is, for example, an instruction input to the management device 1 by the business operator.

Then, when the start instruction of the second debug is received (YES in S81), the VM generation instruction unit 111 outputs, for example, the history data 132 stored in the information storage area 130 to the operator terminal 5 (S82). After that, the VM generation instruction unit 111 waits until the designation of the history data 132 is accepted (S83). That is, in this case, the business operator selects the historical data 132 corresponding to the generation to be debugged from the historical data 132 output to the business operator terminal 5.

Subsequently, when the designation of the history data 132 is accepted (YES in S83), the VM generation instruction unit 111 processes the difference data 133 stored in the information storage area 130 with respect to the virtualization software 4b in S83. Instructs the generation of the investigation VM3c that reflects all of the difference data 133 included in the history data 132 received in (S84). Specifically, the VM generation instruction unit 111 is the difference data included in the history data 132 received in the process of S83 from the data (initial transmission data) transmitted to the information storage area 130 by the instruction from the VM generation instruction unit 111. Instruct the generation of the investigation VM3c that reflects all up to 133. After that, the VM generation instruction unit 111 waits until the generation of the investigation VM3c is completed (NO in S85).

Then, when the generation of the investigation VM3c is completed (YES in S85), the VM generation instruction unit 111 waits until the debugging by the operator is completed (NO in S91) as shown in FIG. Specifically, the VM generation instruction unit 111 waits until, for example, the business operator inputs information to the management device 1 to end debugging.

Subsequently, when the debugging by the business operator is completed (YES in S91), the VM generation instruction unit 111 instructs the virtualization software 4b to delete the investigation VM3c (S92).

After that, the VM generation instruction unit 111 waits until the deletion of the investigation VM3c is completed (NO in S93). Then, when the deletion of the investigation VM3c is completed (YES in S93), the management device 1 ends the investigation data collection process before the second debug execution.

As a result, the business operator can investigate (debug) not only the data currently stored in the memory of the operation VM3a but also the data stored in the memory of the operation VM3a in the past state. become.

[Second Embodiment]
Next, the survey data collection process in the second embodiment will be described. FIG. 27 is a flowchart illustrating a survey data collection process according to the second embodiment. Further, FIG. 28 is a diagram illustrating a survey data collection process according to the second embodiment. The survey data collection process shown in FIG. 27 will be described with reference to FIG. 28.

In the survey data collection process in the second embodiment, unlike the survey data collection process in the first embodiment, the number of times an interrupt is requested to the CPU (a part of the CPU 201) of the operation VM3a is used to change. Calculate the tendency.

The survey data collection process in the second embodiment differs from the survey data collection process in the first embodiment only in the content of the process in S36. Therefore, only the process of S36 will be described below.

[Details of processing of S36 in the second embodiment]
FIG. 27 is a flowchart illustrating the details of the process of S36 in the second embodiment.

As shown in FIG. 27, the change tendency calculation unit 113 extracts the number of times the interrupt is made to the CPU of the operation VM3a from each of the monitoring data 131 acquired in the process of S36 (S111). Hereinafter, a specific example of the monitoring data 131 according to the second embodiment will be described.

[Specific example of monitoring data in the second embodiment]
FIG. 28 is a diagram illustrating a specific example of the monitoring data 131 according to the second embodiment.

The monitoring data 131 shown in FIG. 28 includes an "item number" for identifying each data included in the monitoring data 131, "identification information" for which identification information for each data is set, and an actual time when each data is generated. Has an item of "actual time" in which is set. Further, the monitoring data 131 shown in FIG. 28 interrupts the "VM time" in which the operation VM3a time at the time of generation of each data is set and the CPU of the operation VM3a after the previous monitoring data 131 is generated. It has an item of "interruption count" in which the number of times that is performed is set.

Specifically, in the monitoring data 131 shown in FIG. 28, "B001" is set as the "identification information" for the data whose "item number" is "1", and "5:12:" is set as the "actual time". "31" is set, "5:12:31" is set as the "VM time", and "1021 (times)" is set as the "number of interrupts". Further, in the monitoring data 131 shown in FIG. 28, "B017" is set as the "identification information" for the data whose "item number" is "17", and "5:12:47" is set as the "actual time". Is set, "5:12:38" is set as the "VM time", and "0 (times)" is set as the "number of interrupts".

Then, in the monitoring data 131 shown in FIG. 28, different times are set for the "actual time" of the data in which the "item number" is "8" to the data in which the "item number" is "18". On the other hand, the same time (5:12:38) is set for all the times set in the "VM time". As a result, in the monitoring data 131 shown in FIG. 28, the time set as the "VM time" of the data whose "item number" is "25" from the data whose "item number" is "19" is the "item". The numbers are different from the times set in the "actual time" of the data whose "number" is from "19" to "25".

Further, in the monitoring data 131 shown in FIG. 28, the value set in the "interrupt count" of the data whose "item number" is "18" from the data whose "item number" is "8" is that of other data. It is smaller than the value set in "Number of interrupts". In particular, "0 (times)" is set for the "number of interrupts" of the data in which the "item number" is "10" to the data in which the "item number" is "17".

That is, the monitoring data 131 shown in FIG. 28 is data that can be determined that the operation of the operation VM3a is temporarily stopped due to the occurrence of some event. Description of the other information contained in FIG. 28 will be omitted.

Then, for example, when the monitoring data 131 stored in the information storage area 130 in the process of S34 of FIG. 11 is the data in which the "item number" of the monitoring data 131 shown in FIG. 28 is "8", the change is made. In the process of S111, the tendency calculation unit 113 is set to the "number of interrupts" of the data whose "item number" is "8" from the data whose "item number" is "1" in the monitoring data 131 shown in FIG. 28. Extract the value. Specifically, in this case, the change tendency calculation unit 113 has "1021 (times)", "1022 (times)", "1023 (times)", "1024 (times)", "1024 (times)", and " "1023 (times)", "1023 (times)" and "1023 (times)" are extracted.

Returning to FIG. 27, the change tendency calculation unit 113 calculates the first value by performing the discrete Fourier transform using the number of times extracted in the process of S111 as discrete data (S112). Then, the change tendency calculation unit 113 calculates the second value by performing the inverse Fourier transform on the first value calculated in the process of S112 (S113). Subsequently, the change tendency calculation unit 113 calculates a third value, which is an absolute value of the second value calculated in the process of S113 (S114). Further, the change tendency calculation unit 113 calculates a fourth value, which is an absolute value of the route of the third value calculated in the process of S114 (S115). After that, the change tendency calculation unit 113 calculates the maximum value of the fourth value calculated in the process of S115 as the change tendency (S116).

Then, as described with reference to FIGS. 12 and 13, when the calculated change tendency is determined to be equal to or higher than a predetermined threshold value (YES in S41 and S42), the information storage unit 116 receives the data from the virtualization software 4a. The difference data 133 is stored in the information storage area 130 (YES in S51 and S52, S53). Even if the information storage unit 116 stores the difference data 133 received from the virtualization software 4a in the information storage area 130 when it is determined that the calculated change tendency is less than a predetermined threshold value. good.

That is, the change tendency calculation unit 113 calculates a value indicating disturbance of interrupt processing periodically performed on the CPU of the operation VM3a by performing the processes from S112 to S116, and specifies the calculated value as the change tendency. do.

As a result, the management device 1 can determine whether or not an abnormality may occur in the operation VM3a by using the calculated change tendency as described in the process of S41 in FIG. It will be possible.

Specifically, for example, in the processing of S111, "1021 (times)", "1022 (times)", "1023 (times)", "1024 (times)", "1024 (times)", "1023 (times)". ) ”,“ 1023 (times) ”and“ 1023 (times) ”, the maximum value (change tendency) of the fourth value calculated in the process of S116 is“ 4.414214 ... ”. become. Then, for example, when the predetermined threshold value is "51.2", the changing tendency "4.414214 ..." is smaller than the predetermined threshold value. Therefore, in this case, the information storage unit 116 does not acquire the difference data 133 from the virtualization software 4a (NO in S41 and S42, S43).

On the other hand, for example, when the monitoring data 131 stored in the information storage area 130 in the process of S34 of FIG. 11 is the data in which the "item number" of the monitoring data 131 shown in FIG. 28 is "9", the change tendency. The calculation unit 113 extracts the value set for the “number of interrupts” of the data whose “item number” is “9” from the data whose “item number” is “2” in the monitoring data 131 shown in FIG. 28. Specifically, in this case, the change tendency calculation unit 113 includes "1022 (times)", "1023 (times)", "1024 (times)", "1024 (times)", "1023 (times)", and "1023 (times)". “1023 (times)”, “1023 (times)” and “967 (times)” are extracted (S111).

Then, in this case, the maximum value (change tendency) of the fourth value calculated in the process of S116 is "58.41421 ...". Therefore, for example, when the predetermined threshold value is "51.2", the changing tendency "58.41421 ..." Is larger than the predetermined threshold value. Therefore, in this case, the information storage unit 116 acquires the difference data 133 from the virtualization software 4a.

That is, when the management device 1 determines that the possibility of an abnormality occurring in the operation VM3a is low, the management device 1 does not instruct the information storage area 130 to transmit the difference data 133. As a result, the management device 1 can reduce the processing load of the information processing device 2 due to the transmission of the difference data 133 to the information storage area 130.

On the other hand, when the management device 1 determines that an abnormality may occur in the operation VM3a, the management device 1 instructs the information storage area 130 to transmit the difference data 133. As a result, when an abnormality occurs in the operation VM3a, the business operator can grasp the state of the operation VM3a and acquire information about the operation VM3a by referring to the investigation VM3c that reflects the difference data 133. become.

The above embodiments can be summarized as follows.

(Appendix 1)
Acquire multiple monitoring data about the first virtual machine in each of multiple periods,
Based on the acquired plurality of monitoring data, the change tendency of the operating state of the first virtual machine is calculated.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. Judge whether or not,
When it is determined that the difference data is to be transmitted, an instruction to transmit the difference data is given.
A survey data collection program characterized by having a computer execute processing.

(Appendix 2)
In Appendix 1,
The plurality of monitoring data are a plurality of data including the operating time of the CPU (Central Processing Unit) in the first virtual machine.
In the calculation process,
The average value of the operating time included in each of the plurality of monitoring data is calculated, and the average value is calculated.
The value obtained by differentiating the calculated average value with time is calculated as the change tendency.
A survey data collection program characterized by this.

(Appendix 3)
In Appendix 2,
In the determination process, when the calculated change tendency is equal to or greater than a predetermined threshold value, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this.

(Appendix 4)
In Appendix 2,
In the determination process, when the calculated change tendency is less than a predetermined threshold value, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this.

(Appendix 5)
In Appendix 2,
The calculation process is performed every time new monitoring data is acquired in the acquisition process.
In the determination process, when the product of the calculated change tendency and the change tendency calculated in the past in the calculated process is smaller than 0, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this.

(Appendix 6)
In Appendix 1,
The plurality of monitoring data are a plurality of data including the number of times a specific process is requested to be executed for the first virtual machine.
In the calculation process,
The first value is calculated by performing a discrete Fourier transform with the number of times included in each of the plurality of monitoring data as discrete data.
The second value is calculated by performing the inverse Fourier transform on the calculated first value.
A third value, which is the absolute value of the calculated second value, is calculated.
The fourth value, which is the absolute value of the calculated route of the third value, is calculated.
The maximum value of the calculated fourth value is calculated as the change tendency.
A survey data collection program characterized by this.

(Appendix 7)
In Appendix 6,
In the determination process, when the calculated change tendency is equal to or greater than a predetermined threshold value, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this.

(Appendix 8)
In Appendix 6,
In the determination process, when the calculated change tendency is less than a predetermined threshold value, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this.

(Appendix 9)
In Appendix 1,
In the acquisition process, the monitoring data is acquired at regular timings.
A survey data collection program characterized by this.

(Appendix 10)
In Appendix 1,
In the acquisition process, the monitoring data is acquired in response to receiving an instruction to acquire the monitoring data.
A survey data collection program characterized by this.

(Appendix 11)
A monitoring data acquisition unit that acquires multiple monitoring data related to the first virtual machine in each of a plurality of periods,
A change tendency calculation unit that calculates a change tendency of the operating state of the first virtual machine based on the acquired plurality of monitoring data, and a change tendency calculation unit.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. A transmission judgment unit that determines whether or not to use
When it is determined that the difference data is to be transmitted, the transmission instruction unit for instructing the transmission of the difference data is provided.
A survey data collection device characterized by this.

(Appendix 12)
In Appendix 11,
The plurality of monitoring data are a plurality of data including the operating time of the CPU in the first virtual machine.
The change tendency calculation unit
The average value of the operating time included in each of the plurality of monitoring data is calculated, and the average value is calculated.
The value obtained by differentiating the calculated average value with time is calculated as the change tendency.
A survey data collection device characterized by this.

(Appendix 13)
Acquire multiple monitoring data about the first virtual machine in each of multiple periods,
Based on the acquired plurality of monitoring data, the change tendency of the operating state of the first virtual machine is calculated.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. Judge whether or not,
When it is determined that the difference data is to be transmitted, an instruction to transmit the difference data is given.
A method of collecting survey data, which is characterized by this.

(Appendix 14)
In Appendix 13,
The plurality of monitoring data are a plurality of data including the operating time of the CPU in the first virtual machine.
In the calculation process,
The average value of the operating time included in each of the plurality of monitoring data is calculated, and the average value is calculated.
The value obtained by differentiating the calculated average value with time is calculated as the change tendency.
A method of collecting survey data, which is characterized by this.

1: Management device 2: Information processing device 3a: Operation VM 3c: Investigation VM
4a: Virtualization software 4b: Virtualization software 5: Business terminal

Claims (10)

Acquire multiple monitoring data about the first virtual machine in each of multiple periods,
Based on the acquired plurality of monitoring data, the change tendency of the operating state of the first virtual machine is calculated.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. Judge whether or not,
When it is determined that the difference data is to be transmitted, an instruction to transmit the difference data is given.
A survey data collection program characterized by having a computer execute processing. In claim 1,
The plurality of monitoring data are a plurality of data including the operating time of the CPU (Central Processing Unit) in the first virtual machine.
In the calculation process,
The average value of the operating time included in each of the plurality of monitoring data is calculated, and the average value is calculated.
The value obtained by differentiating the calculated average value with time is calculated as the change tendency.
A survey data collection program characterized by this. In claim 2,
Wherein in determining process, when calculating the change tendency that is not smaller than a predetermined threshold value, it is determined that to transmit the differential data subjected to transmission instruction of the difference data, when the change tendency is less than the predetermined threshold value, The transmission instruction of the difference data is not performed .
A survey data collection program characterized by this. In claim 2,
The calculation process is performed every time new monitoring data is acquired in the acquisition process.
In the determination process, when the product of the calculated change tendency and the change tendency calculated in the past in the calculated process is smaller than 0, it is determined whether or not to transmit the difference data.
A survey data collection program characterized by this. In claim 1,
The plurality of monitoring data are a plurality of data including the number of times a specific process is requested to be executed for the first virtual machine.
In the calculation process,
The first value is calculated by performing a discrete Fourier transform with the number of times included in each of the plurality of monitoring data as discrete data.
The second value is calculated by performing the inverse Fourier transform on the calculated first value.
A third value, which is the absolute value of the calculated second value, is calculated.
The fourth value, which is the absolute value of the calculated route of the third value, is calculated.
The maximum value of the calculated fourth value is calculated as the change tendency.
A survey data collection program characterized by this. In claim 5 ,
Wherein in determining process, when calculating the change tendency that is not smaller than a predetermined threshold value, it is determined that to transmit the differential data subjected to transmission instruction of the difference data, when the change tendency is less than the predetermined threshold value, The transmission instruction of the difference data is not performed .
A survey data collection program characterized by this. In claim 1,
In the acquisition process, the monitoring data is acquired at regular timings.
A survey data collection program characterized by this. In claim 1,
In the acquisition process, the monitoring data is acquired in response to receiving an instruction to acquire the monitoring data.
A survey data collection program characterized by this. A monitoring data acquisition unit that acquires multiple monitoring data related to the first virtual machine in each of a plurality of periods,
A change tendency calculation unit that calculates a change tendency of the operating state of the first virtual machine based on the acquired plurality of monitoring data, and a change tendency calculation unit.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. A transmission judgment unit that determines whether or not to use
When it is determined that the difference data is to be transmitted, the transmission instruction unit for instructing the transmission of the difference data is provided.
A survey data collection device characterized by this. Acquire multiple monitoring data about the first virtual machine in each of multiple periods,
Based on the acquired plurality of monitoring data, the change tendency of the operating state of the first virtual machine is calculated.
Whether to transmit the difference data between the data possessed by the first virtual machine and the data possessed by the second virtual machine that synchronizes with the first virtual machine to the second virtual machine based on the calculated change tendency. Judge whether or not,
When it is determined that the difference data is to be transmitted, an instruction to transmit the difference data is given.
A method of collecting survey data, which is characterized in that the processing is executed by a computer.

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