WO2016169166A1

WO2016169166A1 - Virtual machine scheduling method and device

Info

Publication number: WO2016169166A1
Application number: PCT/CN2015/087278
Authority: WO
Inventors: 李睿; 梁亮; 李鑫; 刘志祥; 翟来国
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-04-21
Filing date: 2015-08-17
Publication date: 2016-10-27
Also published as: CN106155763A

Abstract

A virtual machine scheduling method and virtual machine scheduling device for dynamically scheduling virtual machine resources. The method comprises: monitoring operation data of each of virtual machines, and determining whether the operation data exceeds a preset parameter interval (S10); and if the operation data exceeds the preset parameter interval, then scheduling backup virtual machine resources according to the operation data (S20).

Description

Virtual machine scheduling method and device

Technical field

The present invention relates to the field of communications, and in particular, to a virtual machine scheduling method and apparatus.

Background technique

Cloud computing is an Internet-based computing method. Through this computing method, shared hardware and software resources and information can be provided to computers and other devices as needed. The core idea of cloud computing is to uniformly manage and schedule a large number of virtual machines connected by networks to form a computing resource pool to provide services to users on demand. With the rapid development of information technology in recent years, the number of users and service access of enterprise application servers is increasing. How to expand the application system in a few minutes and improve the system's rapid response capability is to improve the performance of the application system. One of the key factors. At the same time, more and more application servers migrate their business to the cloud data center to solve the problem of how the application system responds quickly to user operations when the user volume is not balanced. However, in the case of the deployment of the traditional data center application server, the amount of concurrency increases suddenly, resulting in a serious shortage of server resources, which may cause the server to be embarrassed.

Summary of the invention

The main purpose of the present invention is to provide a virtual machine scheduling method and device, which aims to solve the problem that the cloud computing application is in a situation where the amount of users is not balanced.

To achieve the above objective, the present invention provides a virtual machine scheduling method, including:

Monitoring operation data of each virtual machine, and determining whether the operation data exceeds a preset parameter interval;

When the running data exceeds a preset parameter interval, the standby virtual machine resource is scheduled according to the running data.

In the above solution, the monitoring the running data of each virtual machine and determining whether the running data exceeds a preset parameter interval further includes:

Obtain an installation package of the cloud computing application to be installed;

Installing the to-be-installed cloud computing application to a corresponding virtual machine based on the installation package;

The virtual machine that installs the cloud computing application is configured by using the configuration information in the installation package.

In the above solution, the installing the cloud computing application to be installed to the corresponding virtual machine based on the installation package includes:

Obtain a virtual machine without a cloud computing application as an available virtual machine;

The to-be-installed cloud computing application is installed to the available virtual machine based on the installation package.

In the above solution, the virtual machine scheduling method further includes:

Monitoring the virtual machine resources to determine whether the standby virtual machine resources are sufficient;

When the standby virtual machine resource is insufficient, creating a new virtual machine, and setting the new virtual machine as a standby virtual machine;

When the spare virtual machine resources are sufficient, the standby virtual machine resources are continuously monitored.

In the above solution, the virtual machine scheduling method further includes:

Schedule the standby virtual machine resources periodically.

In addition, in order to achieve the above object, the present invention further provides a virtual machine scheduling apparatus, where the apparatus includes:

a monitoring module configured to monitor operational data of the virtual machine;

a determining module configured to determine whether the running data exceeds a preset parameter interval;

The scheduling module is configured to schedule the standby virtual machine resource according to the running data when the running data exceeds a preset parameter interval.

In the above solution, the virtual machine scheduling apparatus further includes:

Obtaining a module, configured to obtain an installation package of the cloud computing application to be installed;

Installing a module, configured to install the cloud computing application to be installed to the phase based on the installation package Virtual machine

And a configuration module configured to configure a virtual machine that installs the cloud computing application by using configuration information in the installation package.

In the above solution, the installation module includes:

The obtaining unit is configured to obtain a virtual machine that does not have a cloud computing application installed as an available virtual machine;

And an installation unit configured to install the to-be-installed cloud computing application to the available virtual machine based on the installation package.

In the above solution, the monitoring module is further configured to monitor the standby virtual machine resource; the determining module is further configured to determine whether the standby virtual machine resource is sufficient; the virtual machine scheduling device further includes a creating module configured to be When the resource of the standby virtual machine is insufficient, a new virtual machine is created, and the new virtual machine is set as a standby virtual machine. The monitoring module is further configured to continue to monitor the standby virtual machine when the resource is sufficient. Alternate virtual machine resource.

In the above solution, the scheduling module is further configured to periodically schedule the standby virtual machine resources.

The monitoring module, the determining module, the scheduling module, the obtaining module, the installing module, the configuration module, and the creating module may use a central processing unit (CPU, Central Processing) when performing processing. Unit), Digital Signal Processor (DSP, Digital Singnal Processor) or Field-Programmable Gate Array (FPGA).

The invention determines whether the running data exceeds a preset parameter interval by monitoring running data of each virtual machine; and when the running data exceeds a preset parameter interval, scheduling the standby virtual machine resource according to the running data. Through virtualization and application clustering technology, the responsiveness of the cloud computing application system is rapidly improved, and the problem of server ambiguity in the case of unbalanced user volume is solved, and the virtual machine resource is dynamically scheduled.

DRAWINGS

1 is a schematic flowchart of a first embodiment of a virtual machine scheduling method according to the present invention;

2 is a schematic flowchart diagram of a second embodiment of a virtual machine scheduling method according to the present invention;

3 is a schematic diagram of a refinement process of step S02 in FIG. 2;

4 is a schematic flowchart diagram of a third embodiment of a virtual machine scheduling method according to the present invention;

FIG. 5 is a schematic flowchart diagram of a fourth embodiment of a virtual machine scheduling method according to the present invention; FIG.

6 is a schematic diagram of functional modules of a first embodiment of a virtual machine scheduling apparatus according to the present invention;

7 is a schematic diagram of functional modules of a second embodiment of a virtual machine scheduling apparatus according to the present invention;

8 is a schematic diagram of a refinement function module of the installation module in FIG. 7;

FIG. 9 is a schematic diagram of functional modules of a third embodiment of a virtual machine scheduling apparatus according to the present invention.

The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.

detailed description

It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The main solution of the embodiment of the present invention is: monitoring the running data of each virtual machine, determining whether the running data exceeds a preset parameter interval; and when the running data exceeds a preset parameter interval, scheduling according to the running data Alternate virtual machine resource. Through virtualization and application clustering technology, the responsiveness of cloud computing application systems can be quickly improved, and the problem of server defects can be solved under the condition of unbalanced users, and dynamic scheduling of virtual machine resources can be realized.

The deployment of the existing data center application server is unbalanced, and the concurrent increase in the number of concurrent servers causes a serious shortage of server resources. If the application is deployed in the traditional data center, new server resources are added and applications are deployed. After the application is completed, the server has already appeared.

Based on the above problem, the present invention provides a virtual machine scheduling method, which is referred to FIG. A schematic flowchart of a first embodiment of a virtual machine scheduling method is invented. In this embodiment, the virtual machine scheduling method includes:

Step S10: Monitor operation data of each virtual machine, and determine whether the operation data exceeds a preset parameter interval;

Step S20: When the running data exceeds a preset parameter interval, scheduling the standby virtual machine resource according to the running data.

The server of the cloud computing application includes a listener, and the running data of each virtual machine is periodically monitored by the listener, that is, the running data of each virtual machine is monitored periodically or in real time, and the running data includes but is not limited to CPU utilization and memory usage. Rate and so on. It is determined whether the running data exceeds a preset parameter interval. If a certain virtual machine running data exceeds its preset parameter interval for consecutive N sampling periods, it is determined that the virtual machine running data exceeds a preset parameter interval. The number of sampling periods and the sampling interval can be set according to the configuration and needs of the virtual machine. For example, according to the performance tuning result of the virtual machine, the number of sampling periods and the sampling interval are set. In this embodiment, preferably, the number of sampling periods is set to three, and the sampling time interval is 5 seconds. That is, the virtual machine performs sampling every 5 seconds. When the CPU utilization rate of the virtual machine collected in the three consecutive sampling periods exceeds 90%, it is determined that the virtual machine CPU utilization exceeds the preset parameter interval. Limit value, an alarm signal is issued. After receiving the alarm signal, generating a performance alarm event of the cloud computing application, according to the type of the alarm event and the scheduling policy set by the cloud computing application, that is, according to the event scheduling policy, in the cloud computing application The standby virtual machine resource is scheduled. For example, when the number of users of the cloud computing application reaches a peak, that is, the virtual machine where the cloud computing application is located has reached a performance peak, the available standby virtual machine resources are scheduled from the resource pool of the cloud computing application system for The user quantity of the cloud computing application is divided into other virtual machines, so that the virtual machine running data is within a normal range; if the virtual machine where the cloud computing application is located reaches a performance trough, such as the virtual machine Sampling once every 5 seconds, and determining the CPU utilization of the virtual machine when the CPU utilization of the virtual machine collected in three consecutive sampling periods is less than 10% If the virtual machine performance of the cloud computing application reaches a low level, the standby virtual machine resource is recovered. At the same time, the configuration interface of the load balancer in the cloud computing application is invoked, and the load balancing dynamic configuration request is initiated through the configuration interface of the load balancer, and the load balancing configuration of the cloud computing application is updated. That is, the load balancer configuration information of the cloud computing application is dynamically changed according to the information of the standby virtual machine IP address, the port, and the context in which the cloud computing application is located, so that the cloud computing application can use the standby virtual machine resource.

In this embodiment, by monitoring the running data of each virtual machine, it is determined whether the running data exceeds a preset parameter interval; when the running data exceeds a preset parameter interval, the standby virtual machine resource is scheduled according to the running data. Through virtualization and application clustering technology, the responsiveness of cloud computing application systems can be quickly improved, and the problem of server defects can be solved under the condition of unbalanced users, and dynamic scheduling of virtual machine resources can be realized.

Referring to FIG. 2, FIG. 2 is a schematic flowchart diagram of a second embodiment of a virtual machine scheduling method according to the present invention. A second embodiment of the virtual machine scheduling method of the present invention is proposed based on the first embodiment. In the embodiment, before the step S10, the method further includes:

Step S30, obtaining an installation package of the cloud computing application to be installed;

Step S40, installing the to-be-installed cloud computing application to the corresponding virtual machine based on the installation package;

Step S50: Configure a virtual machine that installs the cloud computing application by using configuration information in the installation package.

Specifically, referring to FIG. 3, step S40 includes:

Step S41: Obtain a virtual machine that does not have a cloud computing application installed as an available virtual machine.

Step S42, installing the to-be-installed cloud computing application to the available virtual machine based on the installation package.

Obtaining an installation package of the cloud computing application to be installed, that is, uploading the deployment package of the cloud computing application, And set up a dynamic scheduling policy. The dynamic scheduling policy includes, but is not limited to, a timing scheduling policy and an event scheduling policy. The scheduling policy, that is, scheduling virtual machine resources in units of time, for example, scheduling may be set on a monthly or daily basis, such as setting virtual machine resource scheduling by 10 days, that is, the cloud computing application is every 10 Virtual machine resource scheduling is automatically performed in days. The event scheduling policy may set thresholds such as CPU utilization, memory usage, and number of concurrent connections of the port, and dynamically monitor the virtual machine resource usage of the cloud computing application, and dynamically invoke the cloud computing application according to different thresholds. The standby virtual machine resource, such as the virtual machine memory usage of the cloud computing application currently has reached 87%, and the memory usage threshold is 85%, in which case the standby virtual is called The machine resource reduces the memory load of the virtual machine where the cloud computing application is located.

Obtaining a virtual machine that does not have a cloud computing application installed as an available virtual machine, and installing the to-be-installed cloud computing application to the available virtual machine based on the installation package. After the cloud computing application is released, an application deployment request is initiated to the cloud computing application system, that is, a request for installing the cloud computing application, and after receiving the request, uploading the deployment package to the cloud computing The application deployment and the configuration script of the deployment package are executed in the application system, and the deployment of the cloud computing application is completed, that is, the installation of the cloud computing application is completed.

After the installation of the cloud computing application is completed, the configuration interface of the load balancer is invoked, and the load balancing configuration information of the available cloud computing is dynamically changed according to the information about the deployment of the available cloud computing application. The related information includes, but is not limited to, an IP address, a port, and context information of a deployed server of the cloud computing application. After dynamically changing the load balancing configuration information of the available cloud computing, initiating a performance acquisition request, remotely logging into the virtual machine system, starting a monitoring process of the cloud computing application, and periodically monitoring the virtual machine running indicator. .

In this embodiment, the cloud computing application is deployed to the virtual machine, and the cloud computing application is automatically deployed and configured to improve the efficiency of the cloud computing application deployment.

Referring to FIG. 4, FIG. 4 is a schematic flowchart diagram of a third embodiment of a virtual machine scheduling method according to the present invention. A third embodiment of the virtual machine scheduling method of the present invention is provided based on the first or the second embodiment. In this embodiment, the virtual machine scheduling method further includes:

Step S60: Monitor the standby virtual machine resource, and determine whether the standby virtual machine resource is sufficient;

Step S70: When the backup virtual machine resource is insufficient, create a new virtual machine, and set the new virtual machine as a standby virtual machine;

Step S80: When the standby virtual machine resource is sufficient, continue to monitor the standby virtual machine resource.

The resource pool of the cloud computing application system is initialized, and when it is initialized, a parallel daemon process is started, and the standby virtual machine resources in the resource pool are monitored in real time or periodically to determine whether the standby virtual machine resource is sufficient. When the standby virtual machine resource of the resource pool is insufficient, for example, when all the spare virtual machine resources in the resource pool have been used by the cloud computing application, and the memory utilization rate of the standby virtual machine resource of the cloud computing application has reached 50%, determining that the standby virtual machine resource of the cloud computing application in the resource pool is insufficient. At this time, the virtual machine creation interface in the cloud computing application system is invoked, and a new virtual machine is dynamically created according to the service template information of the cloud computing application, and the system basic environment of the cloud computing application server is completely configured by script automatically. Invoking an application deployment interface of the cloud computing application system, uploading the deployment package to the virtual machine, and remotely executing an application deployment script and configuration, and setting the virtual machine as an alternate virtual machine of the cloud computing application Resources. Invoking the cloud computing application system performance collection configuration interface, uploading the performance collection information and the monitoring agent script to the standby virtual machine, and remotely starting the daemon process, and periodically or real-time monitoring each cloud computing application in the standby virtual machine. Operating data. When the standby virtual machine resource is sufficient, the standby virtual machine resource of the cloud computing is continuously monitored.

In this embodiment, by dynamically monitoring the resources of the standby virtual machine, the standby virtual machine resource is dynamically added.

Referring to FIG. 5, FIG. 5 is a schematic flowchart diagram of a fourth embodiment of a virtual machine scheduling method according to the present invention. A fourth embodiment of the virtual machine scheduling method of the present invention is proposed based on the first, second or third embodiment. In this embodiment, the virtual machine scheduling method further includes:

In step S90, the standby virtual machine resource is scheduled periodically.

When the resource scheduling policy adopted by the cloud computing application system is scheduled, determining the time for the cloud computing application to schedule the standby virtual machine resource, and monitoring the current time of the cloud computing application system, and determining whether the current time is The time for scheduling the standby virtual machine resource, when the current time is the time for scheduling the standby virtual machine resource, scheduling the standby virtual machine resource, when the current time is not scheduling the standby virtual machine resource At the time, the current time of the cloud computing application system is continuously monitored. After determining that the cloud computing application starts the standby virtual machine resource for 10 days of the current time, the time for reclaiming the standby virtual machine resource is 15 days after the current time. If the current time is 8:00 on April 5, 2015, the time for the cloud computing application to start the standby virtual machine resource is 8:00 on April 15, 2015, and the time for reclaiming the standby virtual machine resource is 2015. 8 o'clock on April 20th. Monitoring the current time of the cloud computing application, if the current time of monitoring the cloud computing application is 14:00 on April 15, 2015, starting the standby virtual machine resource, if the current time of the cloud computing application is detected The standby virtual machine resource is reclaimed at 1400 hours on April 20, 2015; if the current time of monitoring the cloud computing application is 14:00 on April 11, 2015, the current monitoring of the cloud computing application system is continued. time.

In this embodiment, the cloud computing application uses the scheduled scheduling policy to schedule the standby virtual machine resources, thereby rapidly improving the response capability of the cloud computing application system, and solving the problem of the server ambiguity in the case where the user volume is unbalanced.

The present invention further provides a virtual machine scheduling apparatus.

Referring to FIG. 6, FIG. 6 is a schematic diagram of functional modules of a first embodiment of a virtual machine scheduling apparatus according to the present invention.

In this embodiment, the device includes:

The monitoring module 10 is configured to monitor operation data of each virtual machine;

The determining module 20 is configured to determine whether the running data exceeds a preset parameter interval;

The scheduling module 30 is configured to schedule the standby virtual machine resource according to the running data when the running data exceeds a preset parameter interval.

The server of the cloud computing application includes a listener, and the running data of each virtual machine is periodically monitored by the listener, that is, the running data of each virtual machine is monitored periodically or in real time, and the running data includes but is not limited to CPU utilization and memory usage. Rate and so on. It is determined whether the running data exceeds a preset parameter interval. If a certain virtual machine running data exceeds its preset parameter interval for consecutive N sampling periods, it is determined that the virtual machine running data exceeds a preset parameter interval. The number of sampling periods and the sampling interval can be set according to the configuration and needs of the virtual machine. For example, according to the performance tuning result of the virtual machine, the number of sampling periods and the sampling interval are set. In this embodiment, preferably, the number of sampling periods is set to three, and the sampling time interval is 5 seconds. That is, the virtual machine performs sampling every 5 seconds. When the CPU utilization rate of the virtual machine collected in the three consecutive sampling periods exceeds 90%, it is determined that the virtual machine CPU utilization exceeds the preset parameter interval. Limit value, an alarm signal is issued. After receiving the alarm signal, generating a performance alarm event of the cloud computing application, according to the type of the alarm event and the scheduling policy set by the cloud computing application, that is, according to the event scheduling policy, in the cloud computing application The standby virtual machine resource is scheduled. For example, when the number of users of the cloud computing application reaches a peak, that is, the virtual machine where the cloud computing application is located has reached a performance peak, the available standby virtual machine resources are scheduled from the resource pool of the cloud computing application system for The user quantity of the cloud computing application is divided into other virtual machines, so that the virtual machine running data is within a normal range; if the virtual machine where the cloud computing application is located reaches a performance trough, such as the virtual machine Sampling is performed every 5 seconds. When the CPU utilization of the virtual machine collected in three consecutive sampling periods is less than 10%, it is determined that the virtual machine CPU utilization is lower than the lower limit of the preset parameter interval. If the virtual machine performance of the cloud computing application reaches a low level, the standby virtual machine resource is recycled. Simultaneously, the configuration interface of the load balancer in the cloud computing application is invoked, and the load is initiated by using the configuration interface of the load balancer. The dynamic configuration request is updated to update the load balancing configuration of the cloud computing application. That is, the load balancer configuration information of the cloud computing application is dynamically changed according to the information of the standby virtual machine IP address, the port, and the context in which the cloud computing application is located, so that the cloud computing application can use the standby virtual machine resource.

Referring to FIG. 7, FIG. 7 is a schematic diagram of functional modules of a second embodiment of a virtual machine scheduling apparatus according to the present invention. The second embodiment of the virtual machine scheduling apparatus of the present invention is proposed based on the first embodiment. In this embodiment, the virtual machine scheduling apparatus further includes:

The obtaining module 40 is configured to obtain an installation package of the cloud computing application to be installed;

The installation module 50 is configured to install the to-be-installed cloud computing application to a corresponding virtual machine based on the installation package;

The configuration module 60 is configured to configure the virtual machine of the cloud computing application by using the updated configuration information.

Specifically, referring to FIG. 8, the installation module 50 includes:

The obtaining unit 51 is configured to acquire a virtual machine that does not have a cloud computing application as an available virtual machine;

The installation unit 52 is configured to install the to-be-installed cloud computing application to the available virtual machine based on the installation package.

Obtain the installation package of the cloud computing application to be installed, that is, upload the deployment package of the cloud computing application, and set a dynamic scheduling policy. The dynamic scheduling policy includes, but is not limited to, a timing scheduling policy and an event scheduling policy. The timing scheduling policy, that is, scheduling virtual machine resources in units of time, for example, scheduling may be set on a monthly or daily basis, such as setting virtual machine resources in units of 10 days. Scheduling, that is, the cloud computing application automatically performs virtual machine resource scheduling every 10 days. The event scheduling policy may set thresholds such as CPU utilization, memory usage, and number of concurrent connections of the port, and dynamically monitor the virtual machine resource usage of the cloud computing application, and dynamically invoke the cloud computing application according to different thresholds. The standby virtual machine resource, such as the virtual machine memory usage of the cloud computing application currently has reached 87%, and the memory usage threshold is 85%, in which case the standby virtual is called The machine resource reduces the memory load of the virtual machine where the cloud computing application is located.

Further, the scheduling module 30 is further configured to periodically schedule the standby virtual machine resources.

When the resource scheduling policy adopted by the cloud computing application system is scheduled, determining the time for the cloud computing application to schedule the standby virtual machine resource, and monitoring the current time of the cloud computing application system, and determining whether the current time is Time to schedule alternate virtual machine resources when When the current time is the time for scheduling the standby virtual machine resource, the standby virtual machine resource is scheduled, and when the current time is not the time for scheduling the standby virtual machine resource, the cloud computing application system is continuously monitored. current time. After determining that the cloud computing application starts the standby virtual machine resource for 10 days of the current time, the time for reclaiming the standby virtual machine resource is 15 days after the current time. If the current time is 8:00 on April 5, 2015, the time for the cloud computing application to start the standby virtual machine resource is 8:00 on April 15, 2015, and the time for reclaiming the standby virtual machine resource is 2015. 8 o'clock on April 20th. Monitoring the current time of the cloud computing application, if the current time of monitoring the cloud computing application is 14:00 on April 15, 2015, starting the standby virtual machine resource, if the current time of the cloud computing application is detected The standby virtual machine resource is reclaimed at 1400 hours on April 20, 2015; if the current time of monitoring the cloud computing application is 14:00 on April 11, 2015, the current monitoring of the cloud computing application system is continued. time.

In this embodiment, the cloud computing application is deployed to the virtual machine, and the cloud computing application is automatically deployed and configured to improve the efficiency of the cloud computing application deployment. And by using the scheduled scheduling policy to schedule the standby virtual machine resources in the cloud computing application, the responsiveness of the cloud computing application system is rapidly improved, and the problem of the server ambiguity in the case of an unbalanced user amount is solved.

Referring to FIG. 9, FIG. 9 is a schematic diagram of functional modules of a third embodiment of a virtual machine scheduling apparatus according to the present invention. The third embodiment of the virtual machine scheduling method of the present invention is proposed based on the first or second embodiment. In this embodiment, the monitoring module 10 is further configured to monitor the standby virtual machine resource; the determining module 20 is further configured. To determine whether the standby virtual machine resource is sufficient; the virtual machine scheduling apparatus further includes a creating module 70 configured to create a new virtual machine when the standby virtual machine resource is insufficient, and set the new virtual machine to The standby virtual machine is further configured to continue to monitor the standby virtual machine resource when the standby virtual machine resource is sufficient.

The resource pool of the cloud computing application system is initialized, and when it is initialized, a parallel daemon process is started, and the standby virtual machine resources in the resource pool are monitored in real time or periodically to determine whether the standby virtual machine resource is sufficient. When the standby virtual machine resource of the resource pool is insufficient, such as When the backup virtual machine resources in the resource pool are all used by the cloud computing application, and the memory utilization of the standby virtual machine resource of the cloud computing application has reached 50%, determining the standby of the cloud computing application in the resource pool Insufficient virtual machine resources. At this time, the virtual machine creation interface in the cloud computing application system is invoked, and a new virtual machine is dynamically created according to the service template information of the cloud computing application, and the system basic environment of the cloud computing application server is completely configured by script automatically. Invoking an application deployment interface of the cloud computing application system, uploading the deployment package to the virtual machine, and remotely executing an application deployment script and configuration, and setting the virtual machine as an alternate virtual machine of the cloud computing application Resources. Invoking the cloud computing application system performance collection configuration interface, uploading the performance collection information and the monitoring agent script to the standby virtual machine, and remotely starting the daemon process, and periodically or real-time monitoring each cloud computing application in the standby virtual machine. Operating data. When the standby virtual machine resource is sufficient, the standby virtual machine resource of the cloud computing is continuously monitored.

The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the drawings are directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of the present invention.

Industrial applicability

Claims

A virtual machine scheduling method, where the virtual machine scheduling method includes:

Monitoring operation data of each virtual machine, and determining whether the operation data exceeds a preset parameter interval;

When the running data exceeds a preset parameter interval, the standby virtual machine resource is scheduled according to the running data.
The virtual machine scheduling method according to claim 1, wherein the monitoring of the running data of each virtual machine and determining whether the running data exceeds a preset parameter interval further includes:

Obtain an installation package of the cloud computing application to be installed;

Installing the to-be-installed cloud computing application to a corresponding virtual machine based on the installation package;

The virtual machine that installs the cloud computing application is configured by using the configuration information in the installation package.
The virtual machine scheduling method of claim 2, wherein the installing the cloud computing application to be installed to the corresponding virtual machine based on the installation package comprises:

Obtain a virtual machine without a cloud computing application as an available virtual machine;

The to-be-installed cloud computing application is installed to the available virtual machine based on the installation package.
The virtual machine scheduling method according to claim 1, wherein the virtual machine scheduling method further comprises:

Monitoring the virtual machine resources to determine whether the standby virtual machine resources are sufficient;

When the standby virtual machine resource is insufficient, creating a new virtual machine, and setting the new virtual machine as a standby virtual machine;

When the spare virtual machine resources are sufficient, the standby virtual machine resources are continuously monitored.
The virtual machine scheduling method according to any one of claims 1 to 4, wherein the virtual machine scheduling method further comprises:

Schedule the standby virtual machine resources periodically.
A virtual machine scheduling device, the virtual machine scheduling device includes:

a monitoring module configured to monitor operational data of each virtual machine;

a determining module configured to determine whether the running data exceeds a preset parameter interval;

The scheduling module is configured to schedule the standby virtual machine resource according to the running data when the running data exceeds a preset parameter interval.
The virtual machine scheduling device of claim 6, wherein the virtual machine scheduling device further comprises:

Obtaining a module, configured to obtain an installation package of the cloud computing application to be installed;

Installing a module, configured to install the to-be-installed cloud computing application to a corresponding virtual machine based on the installation package;

And a configuration module configured to configure a virtual machine that installs the cloud computing application by using configuration information in the installation package.
The virtual machine scheduling apparatus of claim 7, wherein the installation module comprises:

The obtaining unit is configured to obtain a virtual machine that does not have a cloud computing application installed as an available virtual machine;

And an installation unit configured to install the to-be-installed cloud computing application to the available virtual machine based on the installation package.
The virtual machine scheduling apparatus according to claim 6, wherein the monitoring module is further configured to monitor a standby virtual machine resource; the determining module is further configured to determine whether the standby virtual machine resource is sufficient; the virtual machine The scheduling device further includes a creating module configured to: when the standby virtual machine resource is insufficient, create a new virtual machine, and set the new virtual machine as a standby virtual machine; and the monitoring module is further configured to be the standby When the virtual machine resources are sufficient, the standby virtual machine resources are continuously monitored.
The virtual machine scheduling apparatus according to any one of claims 6 to 9, wherein the scheduling module is further configured to periodically schedule the standby virtual machine resources.