JP2015165362A - Information processing unit for measuring performance, performance measuring method and program therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To measure accurately performance fluctuations of an application to fluctuations of resource allocation to a virtual machine, concerning a user application operated on the virtual machine.SOLUTION: An information processing unit includes resource allocation means for allocating fixedly a resource to a virtual machine based on a resource setting value for showing the amount of the resource to be allocated to the virtual machine, and performance measuring means for measuring performance of the virtual machine to which the resource is allocated, and outputting information on the measured performance.

Description

  The present invention relates to a performance measurement technique, and more particularly to a performance measurement technique for virtual machines, virtual systems, and the like.

  Various related technologies related to virtual machines and virtual systems are known.

  For example, Patent Document 1 discloses a performance evaluation system for estimating the performance of a virtual system.

  The performance evaluation system of Patent Document 1 includes a performance evaluation model generation unit and a performance evaluation unit.

  The performance evaluation model generation means is configured to perform the performance evaluation model from the attributes set in the elements of the process flow data model specified by the virtual realization relation information and the physical realization relation information based on the rules for calculating the performance of the physical system. Is generated.

  Here, the virtual realization relationship information is information indicating a correspondence relationship between the elements of the process data flow model and the objects of the virtual server model. The process data flow model includes data flow elements, which are the paths of data sent and received between processes, as well as the objects on the path and the connection relationship between the objects. It is a model in which the attribute to show is set. The virtual server model is a model in which connection relationships between objects in a virtualized system are described.

  The physical realization relationship information is information indicating the correspondence between the virtual server model object and the physical server model object. The physical server model is a model in which connection relationships between objects in a physical system are described.

  The performance evaluation means performs performance evaluation of the virtualized system based on the performance evaluation model.

  Patent Document 2 discloses an information processing apparatus for controlling fluctuations in the amount of resources allocated to virtual machines within an appropriate range.

  When a resource-deficient virtual machine is detected, the information processing apparatus of Patent Literature 2 increases the amount of resources allocated to the resource-deficient virtual machine so that the index value does not exceed the upper limit value. The index value is calculated based on the resource allocation amount and index information for each virtual machine.

  Here, the index information indicates the correspondence between the resource allocation amount and the index. The indicator is, for example, a fee generated by using the virtual machine. In this case, the index value is a total of charges generated by each use of the virtual machine.

  Therefore, it can be said that the information processing apparatus of Patent Document 2 solves the following problems. That is, if the server hosting service selects a server from a predetermined server configuration (regardless of physical or virtual server), there is an excess or shortage of server capacity for the workload used by the user. It is a problem that can occur.

JP 2012-146015 A JP2012-190109A

  However, in the techniques described in the above-described prior art documents, there is a case where it is impossible to accurately measure the performance of the user application running on the virtual machine and estimate the amount of resources necessary to obtain the desired performance. There is a problem that there is.

  In other words, when using a virtual server, it may not be possible to accurately measure how the performance of the user application changes when the resource assignment (resource allocation) for the virtual server is changed.

  The reason why accurate measurement may not be possible is as follows.

  In an environment of cloud computing (hereinafter, also simply referred to as “cloud”), the physical server on which the virtual server is activated and the resource assignment can be changed regardless of the user's intention. For this reason, the resource assignment for the virtual server is not necessarily stable (fixed).

  When a user uses a hosting service, the user leaves the management of hardware resources to the host operator. Therefore, the user can save the trouble of hardware resource management. However, on the other hand, the user loses the freedom of operation for hardware resources.

  The technique of Patent Document 1 is a technique for estimating appropriate physical hardware using a physical / virtual system performance ratio database based on performance data collected by a virtual system.

  For this reason, the technique of Patent Document 1 can estimate the performance on the virtual system for a predetermined workload. However, the technique of Patent Document 1 cannot accurately estimate the performance of an application possessed by a user. In other words, when the technique of Patent Document 1 is used, a necessary resource assignment can be statically estimated before the system operation is started. However, resource assignments that match the performance of the user application in operation cannot be estimated.

  The technique of Patent Document 2 is merely a technique for adding resources to a virtual machine with insufficient resources based on a specific index. That is, the technique of Patent Document 2 cannot measure the relationship between the fixed resource assignment status for the virtual server and the performance of the user application.

  In cloud computing, an unspecified number of virtual servers are operated simultaneously. In such cloud computing, in order to measure the relationship between the status of resource assignments to virtual servers and the performance of user applications, a mechanism to stabilize (fix) resource assignments to specific virtual servers in an arbitrary state is required. Become. However, in the technology described in the above-described prior art documents, the resource assignment for a specific virtual server cannot be stabilized (fixed) in an arbitrary state in such cloud computing.

  An object of the present invention is to provide an information processing apparatus, a performance measurement method, and a program therefor that solve the above-described problems.

  According to an aspect of the present invention, there is provided a first information processing apparatus including: a resource allocation unit for fixedly allocating the resource to the virtual machine based on a resource setting value indicating an amount of the resource to be allocated to the virtual machine; Performance measuring means for measuring the performance of the virtual machine to which the information is assigned and outputting information on the measured performance.

  In the performance measuring method according to one aspect of the present invention, the computer assigns the resource to the virtual machine in a fixed manner based on a resource setting value indicating an amount of the resource to be assigned to the virtual machine. In addition, the performance of the virtual machine is measured, and information on the measured performance is output.

  The program according to one aspect of the present invention fixedly allocates the resource to the virtual machine based on a resource setting value indicating an amount of the resource to be allocated to the virtual machine, and the virtual machine to which the resource is allocated. The computer executes a process of measuring performance and outputting information on the measured performance.

  A second information processing apparatus according to an aspect of the present invention includes a processor, and a storage unit that holds instructions executed by the processor for the processor to operate as a resource allocation unit and a performance measurement unit. The means fixedly allocates the resource to the virtual machine based on a resource setting value indicating the amount of the resource to be allocated to the virtual machine, and the performance measurement means is configured to assign the resource to the virtual machine. The performance is measured, and information on the measured performance is output.

  The present invention has an effect that it is possible to accurately measure the performance of a user application operating on a virtual machine in cloud computing in correspondence with an arbitrary state of resource assignment.

FIG. 1 is a block diagram showing a configuration of an information processing system according to the first embodiment of the present invention. FIG. 2 is a block diagram illustrating a hardware configuration of a computer that implements the management server according to the first embodiment. FIG. 3 is a flowchart showing the operation of the first embodiment. FIG. 4 is a block diagram showing the configuration of the information processing apparatus according to the second embodiment of the present invention. FIG. 5 is a block diagram illustrating a configuration of an information processing system including the information processing apparatus according to the second embodiment. FIG. 6 is a flowchart showing the operation of the second embodiment. FIG. 7 is a diagram illustrating an example of a resource fluctuation range according to the second embodiment.

  Embodiments for carrying out the present invention will be described in detail with reference to the drawings. In each embodiment described in each drawing and specification, the same reference numerals are given to the same components, and the description thereof is omitted as appropriate.

<<<< first embodiment >>>>
FIG. 1 is a block diagram showing a configuration of an information processing system 100 according to the first embodiment of the present invention.

  As illustrated in FIG. 1, the information processing system 100 according to the present embodiment includes a computer node 110 and a management server 440. The computer node 110 and the management server 440 are connected via a network (not shown).

  Regardless of the example shown in FIG. 1, the information processing system 100 may include any number of computer nodes 110.

=== Computer Node 110 ===
The computer node 110 includes a hypervisor 120, a virtual server (also referred to as a virtual machine) 131, a virtual server 132, an operating system 171, an application 172, and a performance measurement unit 173. The virtual server 131 is a virtual server that is a target of performance measurement in the present embodiment. The virtual server 132 is a virtual server other than the virtual server 131, that is, not a performance measurement target. Regardless of the example shown in FIG. 1, any number of virtual servers 131 and virtual servers 132 may operate on the computer node 110.

  Since the hypervisor 120, the virtual server 131, the virtual server 132, the operating system 171 and the application 172 are well-known technologies, description thereof will be omitted.

=== Performance Measurement Unit 173 ===
The performance measurement unit 173 measures the performance of the application 172 based on an instruction from the management server 440. The performance is, for example, a response time from when the application 172 receives a processing request until it notifies the completion of the processing. The performance may be the number of business processes per unit time in the application 172. Regardless of the above example, the performance measurement unit 173 may measure an arbitrarily defined performance by an arbitrary method.

  For example, the performance measurement unit 173 transmits the measurement result to the management server 440. The performance measurement unit 173 may transmit the measurement result to the user terminal (not shown) via the communication means (not shown) of the computer node 110.

=== Management Server 440 ===
The management server 440 includes a resource variation range setting unit 450 and a resource change unit 460. The resource variation range setting unit 450 and the resource changing unit 460 are collectively referred to as resource allocation means.

=== Resource Variation Range Setting Unit 450 ===
The resource variation range setting unit 450 outputs a resource setting value (also referred to as a resource setting value) indicating the amount of resources (hereinafter also referred to as resources) to be allocated to the virtual machine to the resource changing unit 460.

  For example, the resource fluctuation range setting unit 450 acquires a resource fluctuation range 451 and a resource setting value 452 input from, for example, a user terminal (not shown).

  For example, in a cloud environment constructed with OpenStack (registered trademark), the management server 440 has an endpoint URL (Uniform Resource Locator). The URL of the endpoint indicates an entrance at which the user of the virtual server 131 accesses the service of each component of OpenStack.

  As the URL of the endpoint, there is an operation interface (Nova API (Application Programming Interface)) of a component (Nova) for operating and setting the virtual machine, its network, storage, and the like.

  In this case, the resource fluctuation range setting unit 450 and the resource change unit 460 may be implemented as one of the Nova APIs. The access to the user interface of the resource variation range setting unit 450 and the resource change unit 460 may be from the virtual server 131 in the cloud or from the outside as long as access is permitted. For example, in the cloud environment of OpenStack, any can be used as long as the URL of the endpoint provided by the management server 440 can be accessed. Here, it is assumed that the user of the virtual server 131 can access the user interface by any means.

  The above is an example of a method by which the resource fluctuation range setting unit 450 acquires the resource fluctuation range 451 and the resource setting value 452.

  Next, the resource variation range setting unit 450 determines a resource setting value 452 to be output to the resource changing unit 460 based on the resource variation range 451 and the resource setting value 452.

  Here, an example of a method in which the resource fluctuation range setting unit 450 determines the resource setting value 452 based on the resource fluctuation range 451 and the resource setting value 452 will be described.

  The resource fluctuation range 451 indicates a range that the resource setting value 452 can take. For example, the resource fluctuation range 451 is the maximum value of the resource setting value 452.

  The resource setting value 452 indicates the amount of resources allocated to the virtual machine. The resource setting value 452 indicates the amount of resources that are fixedly allocated to the virtual server 131 when the performance of the virtual server 131 is measured.

  The resource fluctuation range setting unit 450 outputs the resource setting value 452 when the resource setting value 452 is included in the range of the resource fluctuation range 451.

Next, the resource fluctuation range setting unit 450 outputs the determined resource setting value 452.
=== Resource Change Unit 460 ===
The resource changing unit 460 allocates resources to the virtual server 131 based on the resource setting value 452 output from the resource fluctuation range setting unit 450.

  Here, a specific example of a method in which the resource changing unit 460 assigns resources to the virtual server 131 in a fixed manner will be described.

  In general, in a cloud environment, the management server 440 manages the virtual server 131 and virtual server 132 allocated on the computer node 110 and the load on the computer node 110. The management server 440 may change the computer node 110 that executes the virtual server 131 and the virtual server 132 so that the computer node 110 can be efficiently used in the following cases. In this case, the load on either the virtual server 131 or the virtual server 132 is changed. In this case, the virtual server 132 is newly activated. In this case, the virtual server 132 has finished executing.

  Here, if the allocation change as described above occurs while the performance of the application 172 is being measured, a correct result may not be obtained in the performance measurement of the virtual server 131. The reason is that the type of the computer node 110 on which the virtual server 131 is executed is changed, or overhead due to the movement of the virtual server 131 to another computer node 110 occurs.

  For example, in OpenStack, there is a management server equipped with a scheduler (NOVA Scheduler) that executes a virtual server instance (virtual server 131 or virtual server 132) and allocates a physical server. This scheduler determines the computer node to use according to the resource requirements of the virtual server instance and the algorithm in the scheduler. The algorithms include those that take into account the CPU (Central Processing Unit) and memory resources currently in use, and those that randomly select using random numbers.

  In such an OpenStack, in order to obtain an evaluation environment in which the allocation of resources to the virtual server 131 is stable (fixed), it is necessary to coordinate the resource assignment processing to the virtual server 131 and the operation of this scheduler. There is. Hereinafter, “resource allocation” is also referred to as resource assignment.

  In order to measure the performance of the application 172 by fixing the resource assignment for the virtual server 131 to an arbitrary resource setting value 452, the management server 440 of this embodiment performs the following processing, for example.

  First, the resource fluctuation range setting unit 450 sets the maximum resource assignment value that the resource setting value 452 can take to the scheduler, and secures resources.

  Secondly, when actually performing performance measurement, the resource changing unit 460 sets the amount of resources allocated to the virtual server 131 for the hypervisor 120 of the management server 440.

  In this way, the management server 440 ensures that resources can be reliably secured in the computer node 110 on which the virtual server 131 is operating.

  The performance measurement unit 173, the resource variation range setting unit 450, and the resource change unit 460 described above are collectively referred to as an information processing apparatus.

  Next, components of the management server 440 in units of hardware will be described.

  FIG. 2 is a diagram illustrating a hardware configuration of a computer 700 that implements the management server 440 according to the present embodiment.

  As illustrated in FIG. 2, the computer 700 includes a CPU 701, a storage unit 702, a storage device 703, an input unit 704, an output unit 705, and a communication unit 706. Furthermore, the computer 700 includes a recording medium (or storage medium) 707 supplied from the outside. For example, the recording medium 707 is a non-volatile recording medium (non-temporary recording medium) that stores information non-temporarily. The recording medium 707 may be a temporary recording medium that holds information as a signal.

  The CPU 701 controls the overall operation of the computer 700 by operating an operating system (not shown). For example, the CPU 701 reads the program and data from the recording medium 707 mounted on the storage device 703 and writes the read program and data to the storage unit 702. Here, the program is a program for causing the computer 700 to execute an operation of a flowchart shown in FIG.

  The CPU 701 executes various processes as the resource variation range setting unit 450 and the resource change unit 460 shown in FIG. 1 according to the read program and based on the read data.

  The CPU 701 may download the program and the data to the storage unit 702 from an external computer (not shown) connected to a communication network (not shown).

  The storage unit 702 stores the program and data. The storage unit 702 may store a resource variation range 451 and a resource setting value 452.

  The storage device 703 is, for example, an optical disk, a flexible disk, a magnetic optical disk, an external hard disk, and a semiconductor memory, and includes a recording medium 707. The storage device 703 (recording medium 707) stores the program in a computer-readable manner. The storage device 703 may store the data. The storage device 703 may store the resource variation range 451 and the resource setting value 452.

  The input unit 704 receives an input of an operation by an operator and an input of information from the outside. Devices used for the input operation are, for example, a mouse, a keyboard, a built-in key button, and a touch panel.

  The output unit 705 is realized by a display, for example. The output unit 705 is used for confirming an input request, an output, and the like by, for example, a GUI (GRAPHICAL User Interface).

  The communication unit 706 implements an interface with the computer node 110, a user terminal (not shown), an external device (not shown), and the like. The communication unit 706 is included as part of the resource fluctuation range 451 and the resource setting value 452.

  As described above, the functional unit block of the management server 440 shown in FIG. 1 is realized by the computer 700 having the hardware configuration shown in FIG. However, the means for realizing each unit included in the computer 700 is not limited to the above. In other words, the computer 700 may be realized by one physically coupled device, or may be realized by two or more physically separated devices connected by wire or wirelessly and by a plurality of these devices. .

  When the recording medium 707 in which the program code is recorded is supplied to the computer 700, the CPU 701 may read and execute the program code stored in the recording medium 707. Alternatively, the CPU 701 may store the code of the program stored in the recording medium 707 in the storage unit 702, the storage device 703, or both. That is, this embodiment includes an embodiment of a recording medium 707 that stores the program (software) executed by the computer 700 (CPU 701) temporarily or non-temporarily. A storage medium that stores information non-temporarily is also referred to as a non-volatile storage medium.

  This completes the description of each component in hardware units of the computer 700 that implements the management server 440 in the present embodiment.

  Next, the operation of the present embodiment will be described in detail with reference to the drawings.

  FIG. 3 is a flowchart showing the operation of the present embodiment. Note that the processing according to this flowchart may be executed based on program control by the CPU (not shown) of the computer node 110 and the CPU 701 of the computer 700 shown in FIG. Further, the step name of the process is described by a symbol as in step S601.

  The resource fluctuation range setting unit 450 acquires the resource fluctuation range 451 (step S601). For example, the resource fluctuation range setting unit 450 may receive the resource fluctuation range 451 from a user terminal (not shown) via the communication unit 706 shown in FIG.

  Next, the resource fluctuation range setting unit 450 reserves a resource corresponding to the maximum value of the resource fluctuation range 451 for the virtual server 131 (step S602).

For example, in a cloud environment constructed with OpenStack, the user of the virtual server 131 sets the resource fluctuation range 451 in the resource fluctuation range setting unit 450 that is one of the Nova APIs of the management server 440. Next, the resource fluctuation range setting unit 450 passes the resource fluctuation range 451 to the Nova Scheduler operating on the management server 440. Next, the Nova Scheduler selects the computer node 110 that can configure the virtual server 131 having the received resource variation range 451 resource. Then, the Nova Scheduler stops the Nova Compute service on the selected computer node 110 and places a mark indicating that the reservation has been made.
As a result, the management server 440 secures the computer node 110 that satisfies the requirements and prevents its use from other users.

  Next, the resource fluctuation range setting unit 450 acquires a resource setting value 452 (step S603). For example, the resource variation range setting unit 450 may receive the resource setting value 452 from a user terminal (not shown) via the communication unit 706 shown in FIG.

  Next, the resource fluctuation range setting unit 450 confirms that the received resource setting value 452 is included in the range of the resource fluctuation range 451. Subsequently, the resource variation range setting unit 450 outputs the resource setting value 452 to the resource changing unit 460 (step S604). If the received resource setting value 452 is outside the range of the resource fluctuation range 451, the resource fluctuation range setting unit 450 performs abnormal processing (re-acquisition of the resource setting value 452 or release of the resource secured in step S602). ).

  Next, the resource changing unit 460 instructs the hypervisor 120 of the computer node 110 to assign a resource of the virtual server 131 based on the resource setting value 452 (step S605).

  For example, in a cloud environment constructed with OpenStack, the user of the virtual server 131 sets the resource setting value 452 in the resource fluctuation range setting unit 450 that is one of the Nova APIs of the management server 440. Next, the resource fluctuation range setting unit 450 passes the resource setting value 452 to the resource changing unit 460, which is one of the Nova APIs of the management server 440. Next, the resource changing unit 460 passes the resource setting value 452 to the Nova Scheduler operating on the management server 440. Next, Nova Scheduler instructs the hypervisor to build a virtual server 131 having a resource corresponding to the resource setting value 452 on the computer node 110 selected in Step S602. Next, Nova Scheduler sets the memory amount allocated to the virtual server 131, the upper limit of the CPU amount, and the like. At this time, the Nova Scheduler uses the libvirt interface when, for example, KVM (Kernel-based Virtual Machine) is used as the hypervisor 120.

  Next, the resource change unit 460 requests the performance measurement unit 173 to execute performance measurement (step S606). For example, the resource change unit 460 activates the virtual server 131 and the operating system 171, activates the application 172, and requests the performance measurement unit 173 to execute performance measurement.

  Next, the performance measurement unit 173 measures the performance of the application 172 and outputs the result (step S607).

  When the performance measurement unit 173 explicitly recognizes the resource assignment state of the virtual server 131, the resource change unit 460 notifies the performance measurement unit 173 of the change contents of the resource assignment related to the resource setting value 452. Good. For example, when the logical CPU number assignment is changed as a resource assignment of the virtual server 131, the performance measurement unit 173 uses the number of logical CPUs assigned to the virtual server 131 as an argument. In this case, the resource change unit 460 instructs performance measurement using the value set in the virtual server 131 as an argument. As a result, the performance value in the resource assignment state set for the current virtual server 131 is measured.

  Next, the resource fluctuation range setting unit 450 confirms whether or not to end the measurement work (step S608). For example, the resource variation range setting unit 450 may transmit an inquiry as to whether or not to end the measurement work to a user terminal (not shown) via the communication unit 706 shown in FIG. 2 and receive the response.

  If the response indicates that the measurement job is to be ended (YES in step S608), the process ends.

  If the response indicates that the measurement task is to be continued (NO in step S608), the process returns to step S603.

  The effect of the present embodiment described above is that the performance of the user application 172 running on the virtual machine in cloud computing can be accurately measured in correspondence with the state of any resource assignment.

  This is because the following configuration is included. That is, first, the resource variation range setting unit 450 and the resource change unit 460 permanently allocate resources to the virtual server 131 based on the resource setting value 452 indicating the amount of resources to be allocated to the virtual machine. Second, the performance measurement unit 173 measures the performance of the virtual server 131 to which the resource is allocated, and outputs information regarding the measured performance.

<<< Second Embodiment >>>
Next, a second embodiment of the present invention will be described in detail with reference to the drawings. Hereinafter, the description overlapping with the above description is omitted as long as the description of the present embodiment is not obscured.

  FIG. 4 is a block diagram showing the configuration of the information processing apparatus 220 according to the second embodiment of the present invention.

  As illustrated in FIG. 4, the information processing apparatus 220 in this embodiment includes a resource allocation unit 221 and a performance measurement unit 222.

  Next, each component provided in the information processing apparatus 220 in the second embodiment will be described. Each component shown in FIG. 4 may be a hardware unit circuit or a component divided into functional units of a computer device. Here, the components shown in FIG. 4 will be described as components divided into functional units of the computer apparatus.

=== Resource Allocation Unit 221 ===
The resource allocation unit 221 fixedly allocates resources to the virtual machine based on a resource setting value indicating the amount of resources allocated to the virtual machine.

=== Performance Measurement Unit 222 ===
The performance measurement unit 222 measures the performance of the virtual machine to which the resource is allocated, and outputs information regarding the measured performance.

  This completes the description of each component of the functional unit of the information processing apparatus 220.

  FIG. 5 is a block diagram illustrating a configuration of an information processing system 200 including the information processing apparatus 220 according to the present embodiment.

  As illustrated in FIG. 5, the information processing system 200 includes a computer node 210, an information processing apparatus 220, and a management server 240. The computer node 210, the information processing apparatus 220, and the management server 240 are connected to each other via a network (not shown).

=== Computer Node 210 ===
The computer node 210 includes a hypervisor 120, a virtual server 131, a virtual server 132, an operating system 171 and an application 172 === Management server 240 ===
The management server 240 secures resources of the virtual server 131 and allocates resources to the virtual server 131 based on instructions from the information processing apparatus 220. Next, components of the information processing apparatus 220 in units of hardware will be described.

  The information processing apparatus 220 illustrated in FIG. 4 may be realized by a computer 700 having a hardware configuration illustrated in FIG.

  In the present embodiment, the CPU 701 reads a program for causing the computer 700 to execute the operation of the flowchart shown in FIG. 6 to be described later, for example, from the recording medium 707 mounted on the storage device 703.

  The CPU 701 executes various processes as the resource allocation unit 221 and the performance measurement unit 222 shown in FIG. 4 according to the read program and based on the read data.

  The CPU 701 may download the program and the data to the storage unit 702 from an external computer (not shown) connected to a communication network (not shown).

  The communication unit 706 implements an interface with the computer node 210, the management server 240, a user terminal (not shown), an external device (not shown), and the like. The communication unit 706 is included as part of the resource allocation unit 221 and the performance measurement unit 222.

  As described above, the functional unit block of the information processing apparatus 220 shown in FIG. 4 is realized by the computer 700 having the hardware configuration shown in FIG.

  This completes the description of each component of the computer 700 that implements the information processing apparatus 220 according to the present embodiment.

  Next, the operation of the present embodiment will be described in detail with reference to the drawings.

  FIG. 6 is a flowchart showing the operation of this embodiment. Note that the processing according to this flowchart may be executed based on the above-described program control by the CPU 701. Further, the step name of the process is described by a symbol as in step S621.

  The resource allocation unit 221 acquires the resource fluctuation range 451 (step S621).

  For example, the resource variation range 451 may be stored in advance in the storage unit 702 or the storage device 703 illustrated in FIG. Further, the resource allocation unit 221 may acquire the resource fluctuation range 451 input by the operator via the input unit 704 illustrated in FIG. Further, the resource allocation unit 221 may receive the resource variation range 451 from a device (for example, a user terminal) (not illustrated) via the communication unit 706 illustrated in FIG. Further, the resource allocation unit 221 may acquire the resource fluctuation range 451 recorded on the recording medium 707 via the storage device 703 illustrated in FIG.

FIG. 7 is a diagram illustrating an example of the resource fluctuation range 451.
The first line of the resource change range 451 indicates that the number of logical CPUs is changed in a range from 2 to 4. The second line of the resource variation range 451 indicates that the memory capacity is varied in a range from 256 gigabytes to 512 gigabytes.

  Next, the resource allocation unit 221 reserves a resource corresponding to the maximum value of the resource fluctuation range 451 for the virtual server 131 (step S622). For example, the resource allocation unit 221 provides the management server 240 with “4 logical CPUs, 512 GB of memory capacity”, which is the maximum resource allocation amount in the resource fluctuation range 451 shown in FIG. Instruct to secure.

  Next, the resource allocation unit 221 sequentially instructs the management server 240 to assign a resource to the virtual server 131 for all the resource setting values based on the resource variation range 451 (step S623). Here, the resource setting value is a combination of the number of logical CPUs and the memory capacity.

  Specifically, the resource allocation unit 221 assigns resources by each resource setting value (combination of the number of logical CPUs and memory capacity) from the maximum resource allocation amount to the minimum resource allocation amount indicated by the resource fluctuation range 451. To the management server 240. Here, the maximum resource allocation amount is “the number of logical CPUs is 4 and the memory capacity is 512 GB”, and the minimum resource allocation amount is “the number of logical CPUs is 1 and the memory capacity is 256 GB”. Note that the unit of fluctuation of the memory capacity is, for example, 64 gigabytes.

  Next, the performance measurement unit 222 sequentially measures the performance of the application 172 corresponding to each of all the resource setting values (step S624). For example, the performance measurement unit 222 activates the virtual server 131 and the operating system 171, further activates the application 172, and performs performance measurement.

  For example, the performance measurement unit 222 monitors communication between the application 172 of the computer node 210 and an external device (for example, a user terminal (not shown)), and measures a response time from the application 172 to a request from the external device. Regardless of the above example, the performance measurement unit 222 may measure an arbitrarily defined performance by an arbitrary method.

  Next, the performance measurement unit 222 outputs performance measurement result information indicating the result of performance measurement corresponding to each “combination of the number of logical CPUs and memory capacity” (step S625).

  For example, the performance measurement unit 222 transmits the performance measurement result information to a device (for example, a user terminal) (not illustrated) via the communication unit 706 illustrated in FIG. Further, the performance measurement unit 222 may output the performance measurement result information via the output unit 705 shown in FIG. Further, the performance measurement unit 222 may record the performance measurement result information on the recording medium 707 via the storage device 703 shown in FIG.

  The first effect of the present embodiment described above is that the performance of the user application 172 running on the virtual machine in cloud computing can be accurately measured in correspondence with the state of any resource assignment. It is.

  The reason is that the resource allocation unit 221 fixedly allocates the resource to the virtual server 131 based on the resource setting value indicating the amount of the resource allocated to the virtual server 131, and the performance measurement unit 222 measures the performance of the virtual machine. Because.

  The second effect of the present embodiment described above is that it is possible to reduce the number of work steps for performance measurement.

  The reason is that the resource allocation unit 221 instructs the management server 240 to perform resource assignment based on each “combination of the number of logical CPUs and the memory capacity”.

  Each component described in each of the above embodiments does not necessarily have to be individually independent. For example, a plurality of arbitrary constituent elements may be realized as one module. Any one of the constituent elements may be realized by a plurality of modules. Further, any one of the components may be any other one of the components. Further, any one part of the constituent elements may overlap with any other part of the constituent elements.

  In the embodiments described above, each component and a module that realizes each component may be realized as hardware as necessary. Moreover, each component and the module which implement | achieves each component may be implement | achieved by a computer and a program. Each component and a module that realizes each component may be realized by mixing hardware modules, computers, and programs.

  The program is recorded on a computer-readable non-transitory recording medium such as a magnetic disk or a semiconductor memory, and provided to the computer. The program is read from the non-transitory recording medium by the computer when the computer is started up. The read program causes the computer to function as a component in each of the above-described embodiments by controlling the operation of the computer.

  Further, in each of the embodiments described above, a plurality of operations are described in order in the form of a flowchart, but the described order does not limit the order in which the plurality of operations are executed. For this reason, when each embodiment is implemented, the order of the plurality of operations can be changed within a range that does not hinder the contents.

  Furthermore, in each embodiment described above, a plurality of operations are not limited to being executed at different timings. For example, other operations may occur during execution of an operation. In addition, the execution timing of one operation and another operation may partially or entirely overlap.

  Furthermore, in each of the embodiments described above, a certain operation is described as a trigger for another operation, but the description does not limit all relationships between the certain operation and the other operations. For this reason, when each embodiment is implemented, the relationship between the plurality of operations can be changed within a range that does not hinder the contents. The specific description of each operation of each component does not limit each operation of each component. For this reason, each specific operation | movement of each component may be changed in the range which does not cause trouble with respect to a functional, performance, and other characteristic in implementing each embodiment.

  As mentioned above, although this invention was demonstrated with reference to each embodiment, this invention is not limited to the said embodiment. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

DESCRIPTION OF SYMBOLS 100 Information processing system 110 Computer node 120 Hypervisor 131 Virtual server 132 Virtual server 171 Operating system 172 Application 173 Performance measurement part 200 Information processing system 210 Computer node 220 Information processing apparatus 221 Resource allocation part 222 Performance measurement part 240 Management server 440 Management server 450 Resource variation range setting unit 451 Resource variation range 452 Resource set value 460 Resource change unit 700 Computer 701 CPU
702 Storage unit 703 Storage device 704 Input unit 705 Output unit 706 Communication unit 707 Recording medium

Claims (9)

Resource allocation means for fixedly allocating the resource to the virtual machine based on a resource setting value indicating the amount of the resource allocated to the virtual machine;
A performance measuring means for measuring the performance of the virtual machine to which the resource is allocated and outputting information on the measured performance;
An information processing apparatus including: The information processing apparatus according to claim 1, wherein the performance measurement unit outputs information on the performance indicating a correspondence with the resource setting value. The resource setting value includes a fluctuation range of the resource,
The information processing apparatus according to claim 1, wherein the performance measurement unit varies the amount of resources to be fixedly allocated based on the variation range. The information processing apparatus according to claim 1, wherein the virtual machine is a virtual machine in cloud computing. The information processing apparatus according to claim 3, wherein the cloud computing is open computing (OpenStack (registered trademark)) cloud computing. A management server including the resource allocation unit according to any one of claims 1 to 5, wherein the management server allocates resources to the virtual server by securing the resources of the virtual server based on an instruction of the resource allocation unit;
An information processing system comprising: a computer node including the performance measuring unit according to claim 1. Computer
Based on a resource setting value indicating the amount of resources to be allocated to the virtual machine, the resource is fixedly allocated to the virtual machine;
A performance measurement method for measuring performance of the virtual machine to which the resource is allocated and outputting information on the measured performance. Based on a resource setting value indicating the amount of resources to be allocated to the virtual machine, the resource is fixedly allocated to the virtual machine;
A program for causing a computer to execute a process of measuring performance of the virtual machine to which the resource is allocated and outputting information on the measured performance. A processor;
A storage unit that holds instructions executed by the processor for the processor to operate as a resource allocation unit and a performance measurement unit;
The resource allocating unit is configured to fixedly allocate the resource to the virtual machine based on a resource setting value indicating an amount of a resource to be allocated to a virtual machine.
The said performance measurement means measures the performance of the said virtual machine to which the said resource was allocated, and outputs the information regarding the measured said performance Information processing apparatus.

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