TW201818261A - Application expansion method, device and system - Google Patents

Abstract

Embodiments of the present invention provide an application capacity expansion method, device, and system. The method includes: determining multiple resource information required for multiple application capacity expansion; and based on the multiple resource information, the resource resource is described in a preset resource pool. Multiple applications generate multiple instance resource information; when a capacity expansion request for an application is detected, an application is started in the resource pool according to the instance resource information of the application. By cold-configuring the instance resource information in advance, when the capacity needs to be expanded, the application instance can be started directly, and traffic can be switched in immediately to avoid services, which avoids tedious expansion steps, greatly reduces the expansion period, and achieves rapid capacity expansion to ensure application stability. run.

Description

   Application expansion method, device and system   

The invention relates to the technical field of computer processing, in particular to an application capacity expansion method, an application capacity expansion device, and an application capacity expansion system.

Cloud computing is a computing model that provides dynamic and scalable virtual resources as a service through the Internet. In this way, shared hardware and software resources and information can be provided to computers and other devices as needed.

The basic environment of cloud computing is virtualization. Application clusters are deployed through virtual machines (VMs) to share cloud computing resources.

When the overall load of the application cluster is high, in order to ensure the normal operation of the application cluster, one way is to limit the flow, that is, to intercept application requests, reduce the pressure on the application cluster, and protect the entire application cluster at the expense of some application requests. Availability.

Another solution is application capacity expansion, that is, application capacity expansion starts in a short time.

For application expansion, the conventional method is to follow the expansion process and prepare the resources step by step.

For example, a capacity expansion request is initiated, including the requested application name and the requested resource, and then the resource allocation system calculates allocable resource location information. It relies on the underlying operation and maintenance tools to generate virtual machine containers, synchronize application code and configuration information, After the initialization, the application is started, alarm monitoring and other operation and maintenance tools are turned on, and finally the service is officially launched.

However, this conventional capacity expansion method has many steps, a long capacity expansion period, and low efficiency. In scenarios such as e-commerce promotions, the peak time of traffic is short and concentrated in a period of time. If this time period is missed, the capacity expansion will not occur. Effective, from the perspective of time efficiency, this conventional capacity expansion method cannot meet the demand.

In view of the above problems, embodiments of the present invention are provided in order to provide an application capacity expansion method, a corresponding application capacity expansion device, and an application capacity expansion system that overcome the above problems or at least partially solve the above problems.

In one aspect, an embodiment of the present invention discloses an application capacity expansion system, the system includes: one or more processors; a memory; and one or more modules, the one or more modules are stored in the The memory is configured to be executed by the one or more processors, and the one or more modules have the following functions: determining multiple resource information required for expansion of multiple applications; and according to the multiple resource information Generate multiple instance resource information for the multiple applications in a preset resource pool; when a capacity expansion request for an application is detected, start an application in the resource pool according to the instance resource information of the application.

On the other hand, an embodiment of the present invention discloses an application capacity expansion method, which includes: determining multiple resource information required for multiple application capacity expansion; and according to the multiple resource information, the preset resource pool is the multiple The application generates multiple instance resource information; when a capacity expansion request for an application is detected, the application is started in the resource pool according to the instance resource information of the application.

In yet another aspect, an embodiment of the present invention discloses an application capacity expansion device, including: a resource information determination module for determining multiple resource information required for expansion of multiple applications; and an example resource information generation module for determining The multiple instance resource information generates multiple instance resource information for the multiple applications in a preset resource pool; the instance startup module is configured to detect a capacity expansion request for an application in the resource pool. Start the application in accordance with the application's instance resource information.

The embodiment of the present invention includes the following advantages: The embodiment of the present invention determines multiple resource information required for expansion of multiple applications, and generates multiple instance resource information for multiple applications in a preset resource pool according to the multiple resource information. When an expansion request for an application is requested, the application is started in the resource pool according to the application's instance resource information. The instance resource information is cold-configured in advance, and when the expansion is needed, the application instance can be directly started, and traffic can be immediately switched into the service , Avoiding tedious capacity expansion steps, greatly reducing the capacity expansion period, achieving rapid capacity expansion, and ensuring stable application operation.

101‧‧‧ steps

102‧‧‧step

103‧‧‧step

201‧‧‧operation console

202‧‧‧Cluster dispatch center

203‧‧‧Container Mirror Center

204‧‧‧resource pool

205‧‧‧Load Balancer

301‧‧‧Resource information determination module

302‧‧‧Instance resource information generation module

303‧‧‧Instance Launch Module

400‧‧‧Server

422‧‧‧Central Processing Unit

426‧‧‧Power

430‧‧‧Storage media

432‧‧‧Storage

441‧‧‧operating system

442‧‧‧ Apps

444‧‧‧ Information

450‧‧‧Wired or wireless network interface

456‧‧‧Keyboard

458‧‧‧ input and output interface

2041‧‧‧Real Machine Node A

2042‧‧‧Node B

FIG. 1 is a flowchart of steps of an embodiment of an application capacity expansion method of the present invention; FIGS. 2A to 2C are diagrams of an application capacity expansion example of an embodiment of the present invention; and FIG. 3 is an embodiment of an application capacity expansion apparatus of the present invention. Structural block diagram; FIG. 4 is a schematic structural diagram of a server embodiment of the present invention.

In order to make the foregoing objects, features, and advantages of the present invention more comprehensible, the following further describes the present invention in detail with reference to the drawings and specific embodiments.

Referring to FIG. 1, a flowchart of steps of an embodiment of an application capacity expansion method according to the present invention is shown, which may specifically include the following steps:

Step 101: Determine multiple resource information required for multiple application expansions.

In the embodiment of the present invention, it can be applied to a cloud-based platform. The cloud-based platform is a macro concept and is more related to business attributes or service forms. Multiple applications build this platform.

In a cloud-based platform, an application can generate multiple instances, and these instances can form an application cluster.

These applications may include Web (web page) applications, which are not necessarily limited to the Web, but may also be applications of wireless APPs (Applications, etc.). For example, if the cloud computing platform is an e-commerce platform, the platform ’s An application can implement the function of querying product information, and an application can implement the function of obtaining member information and receiving address.

Web applications can be deployed in cloud-based computer clusters, such as decentralized systems. Web applications submitted by users (developers) are placed in corresponding Web containers, and supporting load balancers, databases, and storage are configured. Services and other corresponding components to ultimately ensure the correct operation of Web applications.

Cloud-based computing refers to adapting the architecture, processes, models of web application deployment and expansion to the basic environment of cloud computing, and then can use general cloud computing infrastructure services (IaaS) to achieve rapid deployment and dynamic expansion to users Provide platforms and services (PaaS).

Web application capacity expansion is aimed at the characteristics of frequent and dramatic changes in the load of Web applications. By dynamically increasing or decreasing the service capacity during the operation of the Web application to adapt to changes in the load, the utilization of service resources can be improved while ensuring the quality of services.

In the embodiment of the present invention, applications that need to be rapidly expanded service objects can be collected in advance, that is, which applications need to be rapidly expanded in scenarios such as e-commerce promotions, and the maximum capacity that needs to be backed up for rapid expansion, that is, the How many resources are prepared for each application for emergency expansion.

Step 102: Generate multiple instance resource information for the multiple applications in a preset resource pool according to the multiple resource information.

In a specific implementation, the resource pool includes multiple physical machine nodes, so-called physical machine nodes, which can be understood as service nodes and provide resources for applications that need to be expanded.

In an embodiment of the present invention, step 102 may include the following sub-steps: sub-step S11, for each application, extracting resource specification information and resource quantity from the resource information; sub-step S12, in the plurality of entities The machine node allocates resource space for the application according to the number of resources; in step S13, in the resource space, instance resource information is generated according to the resource specification.

In the embodiment of the present invention, during the pre-expansion processing, information such as an application name of an application, resource specification information (for example, the number of CPUs, the size of a memory, the size of a magnetic disk, etc.) and the amount of resources may be determined.

The product of the resource specification information and the number of resources can obtain the total amount of resources required for the application to expand once.

Wherein, the resource specification information and the quantity of resources may be designated by a technician or estimated based on traffic, which is not limited in the embodiment of the present invention.

Each physical machine node provides one or more resource spaces. A resource space can carry a resource specification information, which means that the physical machine node can provide resources to the application for capacity expansion.

Because the virtual machine is based on the resources "virtualized" by the server, the resource space also means that the resource rule information carried by it can be virtualized into a virtual machine.

When allocating resource space, resource space may be allocated for an application according to one or more of the following characteristic information: application operation characteristic information, application stability characteristic information, and neighbor application characteristic information.

Among them, the application operation characteristic information is the relevant data provided by the historical monitoring system, the application stability characteristic is calculated from the application attributes comprehensively, and the neighbor application characteristic is the data jointly deposited by the business and the runtime.

The system can comprehensively consider all aspects of the application and choose the appropriate resource space for the application.

For example, if an application occupies more CPU / bandwidth (application running characteristics), the application selected for deployment occupies the resource space of a physical machine node with less CPU / bandwidth (neighboring application characteristics); an application involves resource loss (application running (Characteristics), such as the following single application, if the order is lost, the shopping site needs to pay), then choose the resource space of the physical machine nodes that deploy less applications involving loss of resources (neighbor application features). An application restricts one physical machine node cannot exceed 2 (application running characteristics), then select the resource space of the physical machine node where the application is not deployed, etc.

For another example, if an application is a coordination node (application stability feature), try to decentralize deployment to avoid centralized deployment in the same physical machine node; try to deploy application instances as decentralized (application stability feature) as possible to avoid centralized deployment in the same A physical machine node, etc.

Generally, the physical machine node uses a low-proportion configuration method to configure the virtual machine. The total amount of resources required for instance resource information generated in a physical machine node is generally less than or equal to the actual total resource of the physical machine node, such as If a physical machine node is virtualized into 8 virtual machines, then one virtual 8 can be understood, and the ratio is 8.

In the embodiment of the present invention, the virtual machine is configured in a highly matching manner. For example, if a physical machine node is virtualized into 100 virtual machines or even more virtual machines, then it can be understood that 1 virtual 100 and the matching ratio is 100.

Therefore, under normal circumstances, the total resource required for instance resource information generated in a physical machine node is greater than the actual total resource of the physical machine node.

In practical applications, applications that require emergency capacity expansion belong to a small number of uncertain applications. High-proportion ratios prepare potential application capacity expansion requirements in advance, thereby avoiding redundant backup of resources.

For example, for 100 applications for emergency capacity expansion, the physical machine node provides the resources required for the application with the largest capacity expansion requirement. This allocation of 1 virtual 100 can provide support for rapid expansion of any one of the 100 applications.

High-proportion allocation refers to M applications that are deployed on X resources at the same time. And X physical machine nodes can provide services for Y applications. Then, X physical machine nodes actually virtualize Y * M resource spaces. The conventional ratio of X physical machine nodes provides Y resource spaces.

For example, if there are two physical machine nodes, assuming a normal ratio of 1 to 4, then there are 8 resource spaces and 8 resource service capabilities are provided. Assuming an application requires 4 resources, it can be used by 2 applications.

Assume that the high matching ratio is 1 virtual 20, then logically provide 40 resource spaces. These 40 resource spaces can be allocated to 10 applications.

For these 10 applications, all of these resources can be seen, but in actual implementation, due to limited resources, only 2 applications may actually use this part of the resources.

In the embodiment of the present invention, the instance resource information of the application can be evenly distributed on the physical machine nodes, which can make traffic balance, load balance, and improve stability.

In these instance resource information, information required for application expansion, such as the application image file and the configuration information of the image file, are recorded.

For example, a resource pool has 100 physical machine nodes, and an application needs to back up 50 instance resources. Then, resource allocation can be performed on 50 physical machine nodes, and each physical machine node deploys one instance resource information.

Step 103: When an expansion request for an application is detected, an application is started in the resource pool according to the instance resource information of the application.

In the embodiment of the present invention, the resource load information of the application can be monitored to determine whether an application needs to be expanded.

In a specific implementation, the application cluster can be deployed on multiple virtual machines, and the monitoring module of the virtual machine resides in the physical machine node as a service process, and multiple virtual machines are collected periodically (for example, every minute) from the physical machine node. Information about the load of a single resource of a computer, such as CPU (Central Processing Unit, central processing unit) utilization, memory utilization, disk utilization, response speed, etc. Resource load information calculates the overall resource load information of the application cluster.

It should be noted that the diversity of Web applications is reflected in the load in addition to the function. The load on the server caused by different Web applications is not the same.

Therefore, there are many measurement methods available for the load of Web applications. From the perspective of QoS (Quality of Service, Quality of Service), there are multiple indicators such as the number of concurrent users, the number of active connections, the number of requests per second, and the average response time. Directly from the load of the server, it can be divided into CPU utilization, memory utilization, disk utilization, bandwidth utilization, etc. Those skilled in the art can set it according to the actual situation. This embodiment of the present invention does not Be restricted.

For example, for an application download website, it usually has a large bandwidth occupation, which is bandwidth-intensive, and the load monitoring can be based on bandwidth occupation. For an online bank, there are more calculation processes, which are computation-intensive and CPU utilization. The rate will be relatively high, and the load monitoring can be based on CPU utilization. For a content management website, when many users submit content at the same time, the disk or database I / O (input / output), input / Output) busy, belongs to I / O intensive, the monitoring of the load can be based on I / O.

One of the advantages of the cloud computing environment is that it can provide flexible resource services. From the perspective of Iaas, it can dynamically allocate virtual machine resources, and a virtual machine can generally call the corresponding interface. Cloud-based Web Applications can use this feature to build scalable application clusters to adapt to changing loads.

If an application needs to be expanded, the target instance resource information can be selected from the application's instance resource information according to one or more of the following characteristics information: the load status of the physical machine node, the application stability characteristics, and the resource idleness of the physical machine node.

For example, a resource pool has 100 physical machine nodes. When an application backs up instance resource information, it backs up 100 instance resource information. Assuming that 50 instances need to be started for capacity expansion, and a certain physical machine node is in a completely idle state, an instance of the application can be started from the physical machine node.

It is assumed that another application will also be expanded soon. At this time, based on the instance that has been started by the previous application, the instance resource information that satisfies the latter application is preferentially started, and there is no physical machine node started by the application instance to start the instance. In this way, the instance can be started from a relatively idle physical machine node.

If the target instance resource information is selected, resources can be occupied in the resource pool according to the target instance resource information to create a virtual machine, an application image file can be obtained from a preset container image center, and an image file can be deployed in the virtual machine. When successful, launch the application deployed in the virtual machine.

In a specific implementation, an agent (agent) on the target server can be executed for image deployment.

Because the types of virtual machines are different, such as XEN, LVM, CLOCKER, LXC, etc., the deployment of images is also different.

When the virtualization work is complete, the application can be launched.

For example, if the virtual machine is a CLOCKER, and its container is used for virtualization, enter commands, clocker pull <image_name>, clocker run <image_name> to deploy the virtual machine and start the container, where image_name is the name of the image.

For another example, if the virtual machine is a VM, an agent is installed in the VM, and when an application instruction is started, a startup instruction needs to be sent to the VM agent to start an application deployed in the VM.

Because a cloud-based platform generally installs a reverse proxy component in the application domain's load balancer to implement request distribution, when an application is connected to an application cluster, the IP address of the physical machine node to which the application belongs can be added to the reverse The balance load domain list of the proxy component enables the load balancer to detect the application, so that the load (such as user requests) is cut into the application for processing through the load balance, and external services are provided.

In the embodiment of the present invention, multiple instance resource information required for multiple application expansion is determined, and multiple instance resource information is generated for multiple applications in a preset resource pool based on the multiple instance resource information. When an expansion request is made, the application is started in the resource pool according to the instance resource information of the application. By cold-configuring the instance resource information in advance, when the expansion is needed, the application instance can be directly started, and traffic can be immediately switched to serve, avoiding tedious expansion. The steps greatly reduce the capacity expansion period, realize rapid capacity expansion, and ensure stable application operation.

In one embodiment of the present invention, before the e-commerce promotion and other situations begin, there may be a need for an emergency release of the application. At this time, the configuration of the high-proportioned physical machine node, the application configuration on the conventional physical machine node, the application code, etc. Information needs to be updated uniformly to ensure consistency and accuracy of application services after capacity expansion.

Therefore, when an application is updated, the instance resource information of the application is updated in the resource pool.

Otherwise, high-proportioned physical machine nodes will cause service errors after capacity expansion due to inconsistencies in code or configuration.

To enable those skilled in the art to better understand the embodiments of the present invention, a specific example is used below to describe the capacity expansion method applied in the embodiments of the present invention.

As shown in FIG. 2A, the operation console 201 executes the expansion instruction of the cluster dispatch center 202. The input parameters are the application name, resource specification information (such as 4 CPUs, 6G memory, 100G disk space ( disK)), the number of resources (such as 1).

Application container image files such as Image_01, Image_02, Image_03, etc. are stored in the container image center 203.

The cluster scheduling center 202 retrieves an image file of the application in the container mirroring center 203 according to the name of the application.

At the same time, resources are requested from the resource pool 204 according to the resource specification information and the number of resources.

The resource pool 204 includes multiple physical machine nodes, such as physical machine node A 2041, physical machine node B 2042, and so on. Each physical machine node provides one or more resource spaces in a high proportion manner, and one or more can be deployed. Virtual machines.

As shown in FIG. 2B, if the physical machine node B 2042 has idle resources, the instance resource information of the application (that is, the resource space in the virtual circle) can be deployed on the physical machine node B 2042.

As shown in FIG. 2C, the operation console 201 collects single resource load information of multiple virtual machines, for example, CPU utilization, memory utilization, disk utilization, etc., and calculates the overall resources of the application cluster by averaging. Load information to determine whether to expand.

When it is determined that the capacity expansion is needed, the cluster scheduling center 202 may execute the agent deployed on the server B 2042 to perform the image deployment work.

The agent deployed on server B 2042 receives the scheduling instruction from the cluster scheduling center 202, extracts the scheduling parameters from it, including the name of the image, and downloads the image from the container image center 203 to the local according to the name of the image.

The agent deployed on server B 2042 executes virtualization instructions, such as the clocker pull <image_name> command of the virtual machine CLOKER, to deploy the image, where image_name is the name of the image.

After the virtual machine is successfully deployed, the application can be started. For example, enter a command in the virtual machine CLOCKER, clocker run <image_name> can start the container, where image_name is the name of the image.

The application is registered with the load balancer 205, and the load balancer 205 cuts traffic into the application for processing and provides external services.

It should be noted that, for the method embodiments, for the sake of simple description, they are all described as a series of action combinations, but those skilled in the art should know that the embodiments of the present invention are not limited by the described action sequence because According to the embodiment of the present invention, some steps may be performed in other orders or simultaneously. Secondly, a person skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

Referring to FIG. 3, a structural block diagram of an embodiment of an application capacity expansion device according to the present invention is shown, which may specifically include the following modules: a resource information determination module 301, configured to determine multiple resource information required for multiple application expansions An instance resource information generation module 302, configured to generate multiple instance resource information for the multiple applications in a preset resource pool according to the multiple resource information; an instance startup module 303, configured to detect When an application is requested for capacity expansion, the application is started in the resource pool according to the instance resource information of the application.

In an embodiment of the present invention, the resource pool includes multiple physical machine nodes, and each physical machine node provides one or more resource spaces; the instance resource information generating module 302 may include the following submodules: resource parameters Extraction sub-module is used to extract resource specification information and resource quantity from the resource information for each application; resource space allocation sub-module is used for the multiple physical machine nodes according to the resource quantity Allocate a resource space for the application; a resource space generation submodule is used to generate instance resource information in the resource space according to the resource specification.

In an embodiment of the present invention, the resource space allocation sub-module may include the following unit: a feature allocation unit, configured to allocate resource space for the application according to one or more of the following feature information: application operation feature information, application stability Sexual characteristic information, neighbor application characteristic information.

In specific implementation, the total amount of resources required for instance resource information generated in a physical machine node is greater than the actual total resources of the physical machine node.

In an embodiment of the present invention, the instance startup module 303 may include the following sub-modules: a target instance resource information selection sub-module is used to select from the instance resource information of the application according to one or more characteristic information Select target instance resource information: the load status of the physical machine node, the application stability characteristics, and the resource idleness of the physical machine node; the target instance resource information launch submodule is used in the resource pool according to the target instance resource information Occupies resources to create a virtual machine; an image file acquisition submodule is used to obtain an application image file in a preset container image center; an image file deployment submodule is used to deploy the image in the virtual machine File; an application launching submodule, configured to launch an application deployed in the virtual machine when the deployment is successful.

In an embodiment of the present invention, the device may further include a module: an instance resource information update module, configured to update the instance resource information of the application in the resource pool when an application is updated.

As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For the related parts, refer to the description of the method embodiment.

An embodiment of the present invention further provides an application capacity expansion system. The system includes: one or more processors; a memory; and one or more modules, the one or more modules are stored in the memory and are Configured to be executed by one or more processors, wherein the one or more modules have the following functions: determining a plurality of resource information required for expansion of a plurality of applications; and in a preset resource pool according to the plurality of resource information Multiple instance resource information is generated for the multiple applications; when an expansion request for an application is detected, an application is started in the resource pool according to the instance resource information of the application.

Optionally, the resource pool includes multiple physical machine nodes, and each physical machine node provides one or more resource spaces; the one or more modules may have the following functions: for each application, from the instance resource information Extracting resource specification information and resource quantity in the plurality of physical machine nodes, allocating resource space for the application according to the resource quantity; and in the resource space, generating instance resource information according to the resource specification.

Optionally, the one or more modules may have a function of allocating resource space for the application according to one or more of the following characteristic information: application operation characteristic information, application stability characteristic information, and neighbor application characteristic information.

Optionally, the total amount of resources required for the instance resource information generated in a physical machine node is greater than the actual total resources of the physical machine node.

Optionally, the one or more modules may have the following function: selecting target instance resource information from the instance resource information of the application according to one or more of the following characteristic information: the load status of the physical machine node, the application stability characteristics, The degree of resource idleness of the physical machine node; occupying resources in the resource pool according to the target instance resource information to create a virtual machine; obtaining an application image file in a preset container image center; deploying in the virtual machine The image file; when the deployment is successful, starting an application deployed in the virtual machine.

Optionally, the one or more modules may have a function of updating instance resource information of the application in the resource pool when an application is updated.

FIG. 4 is a schematic structural diagram of a server according to an embodiment of the present invention. The server 400 may have a large difference due to different configurations or performance, and may include one or more central processing units (CPU) 422 (for example, one or more processors) and a storage 432, one Or more than one storage medium 430 (for example, one or one storage device in Shanghai) storing the application 442 or data 444. Among them, the storage 432 and the storage medium 430 may be temporarily stored or permanently stored. The program stored in the storage medium 430 may include one or more modules (not shown in the figure), and each module may include a series of command operations on the server. Furthermore, the central processing unit 422 may be configured to communicate with the storage medium 430 and execute a series of instruction operations in the storage medium 430 on the server 400.

The server 400 may also include one or more power sources 426, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, one or more keyboards 456, and / or, one or more operations System 441, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

The central processor 422 may execute the following operations on the server 400: determine multiple resource information required for the expansion of multiple applications; and generate the multiple resource information for the multiple applications in a preset resource pool according to the multiple resource information Multiple instance resource information; when a capacity expansion request for an application is detected, the application is started in the resource pool according to the instance resource information of the application.

Optionally, the resource pool includes multiple physical machine nodes, and each physical machine node provides one or more resource spaces; the central processing unit 422 may further execute instructions on the server 400 for each application, from Extract resource specification information and resource quantity from the instance resource information; allocate resource space for the application according to the resource quantity in the multiple physical machine nodes; and generate in the resource space according to the resource specification Instance resource information.

Optionally, the central processing unit 422 may further execute an instruction on the server 400 to allocate resource space for the application according to one or more of the following characteristic information: application operation characteristic information, application stability characteristic information, and neighbor application characteristics. Information.

Optionally, the total amount of resources required for the instance resource information generated in a physical machine node is greater than the actual total resources of the physical machine node.

Optionally, the central processing unit 422 may further execute an instruction on the server 400: selecting target instance resource information from the instance resource information of the application according to one or more of the following characteristic information: the load status of the physical machine node, Application stability characteristics, resource idleness of physical machine nodes; occupy resources in the resource pool according to the target instance resource information to create a virtual machine; obtain an application image file in a preset container image center; The image file is deployed in the virtual machine; when the deployment is successful, an application deployed in the virtual machine is started.

Optionally, the central processor 422 may further execute an instruction on the server 400 for updating an instance resource information of the application in the resource pool when an application is updated.

Each embodiment in this specification is described in a progressive manner. Each embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments may refer to each other.

Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a device, or a computer program product. Therefore, the embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present invention may adopt a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. form.

In a typical configuration, the computer device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. Memory may include non-persistent memory, random access memory (RAM), and / or non-volatile memory in computer-readable media, such as read-only memory (ROM) or flash memory ( flash RAM). Memory is an example of a computer-readable medium. Computer-readable media include permanent and non-permanent, removable and non-removable media. Information can be stored by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable and programmable read-only memory (EEPROM), flash memory or other memory technology, read-only disc read-only memory (CD-ROM), digital multifunction Optical discs (DVDs) or other optical storage, magnetic tape cartridges, magnetic disk storage or other magnetic storage devices or any other non-transmitting medium may be used to store information that can be accessed by computing devices. As defined herein, computer-readable media does not include non-persistent computer-readable media (such as modulated data signals and carrier waves).

Embodiments of the present invention are described with reference to flowcharts and / or square block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and a combination of the flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to generate a machine for execution by the processor of the computer or other programmable data processing terminal device The instructions of the present invention generate a device for implementing a function specified in one or more flowcharts and / or one or more blocks of a square block diagram.

These computer program instructions can also be stored in a computer-readable storage that can guide a computer or other programmable data processing terminal device to work in a specific manner, so that the instructions stored in the computer-readable storage include the manufacture of a command device The instruction device implements the functions specified in a flowchart or a plurality of processes and / or a block or a block of a square block diagram.

These computer program instructions can also be loaded on a computer or other programmable data processing terminal equipment, so that a series of operating steps can be performed on the computer or other programmable terminal equipment to generate computer-implemented processing, so that the The instructions executed on the terminal device provide steps for implementing the functions specified in one or more flowcharts and / or one or more blocks of the block diagram.

Although the preferred embodiments of the present invention have been described, those skilled in the art can make other changes and modifications to these embodiments once they know the basic inventive concepts. Therefore, the scope of the appended patent applications is intended to be construed to include the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the invention.

Finally, it should be noted that in this article, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities. There is any such actual relationship or order between OR operations. Moreover, the terms "including", "comprising", or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or end device that includes a series of elements includes not only those elements but also those that are not explicitly listed Other elements, or elements inherent to such a process, method, article, or terminal. Without more restrictions, the elements defined by the sentence "including a ..." do not exclude that there are other identical elements in the process, method, article, or terminal device including the elements.

The application capacity expansion method, an application capacity expansion device, and an application capacity expansion system provided by the present invention have been described in detail above. The specific examples are used herein to explain the principles and implementation of the present invention. The above embodiments The description is only used to help understand the method of the present invention and its core ideas; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and application scope. In other words, the content of this specification should not be construed as a limitation on the present invention.

Claims (10)

    An application capacity expansion system, characterized in that the system includes: one or more processors; a memory; and one or more modules, the one or more modules are stored in the memory and are Configured to be executed by the one or more processors, and the one or more modules have the following functions: determining a plurality of resource information required for expansion of a plurality of applications; and presetting resources according to the plurality of resource information Generate multiple instance resource information for the multiple applications in the pool; when a capacity expansion request for an application is detected, start an application in the resource pool according to the instance resource information of the application.         An application capacity expansion method, comprising: determining multiple resource information required for multiple application capacity expansion; and generating multiple instance resources for the multiple applications in a preset resource pool according to the multiple resource information. Information; when a capacity expansion request for an application is detected, the application is started in the resource pool according to the instance resource information of the application.         The method according to claim 2, wherein the resource pool includes multiple physical machine nodes, and each physical machine node provides one or more resource spaces; and the resource pool is the resource pool according to the multiple resource information. The step of generating multiple instance resource information by multiple applications includes: for each application, extracting resource specification information and resource quantity from the instance resource information; among the plurality of physical machine nodes, according to the resource quantity, The application allocates resource space; in the resource space, instance resource information is generated according to the resource specification.         The method according to claim 3, wherein the step of allocating resource space for the application according to the number of resources comprises: allocating resource space for the application according to one or more of the following characteristic information: application running characteristic information, application Stability feature information, neighbor application feature information.         The method according to claim 3, wherein the total amount of resources required for the instance resource information and the instance resource information generated in a physical machine node is greater than the actual total resources of the physical machine node.         The method according to claim 2 or 3 or 4 or 5, wherein the step of starting an application in the resource pool according to the instance resource information of the application and the instance resource information includes: according to one or more of the following characteristic information from Selecting target instance resource information from the instance resource information of the application: load status of the physical machine node, application stability characteristics, and resource idleness of the physical machine node; occupying resources in the resource pool according to the target instance resource information, To create a virtual machine; obtain an image file of the application in a preset container image center; deploy the image file in the virtual machine; and when the deployment is successful, start the application deployed in the virtual machine.         The method according to claim 2 or 3 or 4 or 5, further comprising: when an application is updated, updating the instance resource information of the application in the resource pool.         An application capacity expansion device, comprising: a resource information determination module for determining a plurality of resource information required for expansion of multiple applications; an instance resource information generation module for determining a plurality of instance resource information Generate multiple instance resource information for the multiple applications in a preset resource pool; an instance startup module is configured to detect a capacity expansion request for an application in the resource pool according to the application's The instance resource information launches the application.         The device according to claim 8, wherein the resource pool includes multiple physical machine nodes, and each physical machine node provides one or more resource spaces; the instance resource information generation module includes: a resource parameter extraction submodule For each application to extract resource specification information and resource quantity from the instance resource information; a resource space allocation sub-module is used for the plurality of physical machine nodes according to the resource quantity to be the The application allocates resource space; a resource space generation submodule is used to generate instance resource information in the resource space according to the resource specification.         The device according to claim 9, wherein the resource space allocation sub-module includes: a feature allocation unit for allocating resource space to the application according to one or more of the following characteristics information: application operation characteristic information, application stability Feature information, neighbor application feature information.