WO2018077079A1

WO2018077079A1 - Application capacity enlargement method, apparatus and system

Info

Publication number: WO2018077079A1
Application number: PCT/CN2017/106627
Authority: WO
Inventors: 李雨前; 刘岳嘉; 杨育兵; 杨星飞; 黄涛
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2016-10-31
Filing date: 2017-10-18
Publication date: 2018-05-03
Also published as: TW201818261A; CN108023742A; TWI752994B; CN108023742B

Abstract

Provided are an application capacity enlargement method, an apparatus and a system. The method comprises: determining a plurality of pieces of resource information needed for capacity enlargement of a plurality of applications; according to the plurality of pieces of resource information, generating a plurality of pieces of instance resource information for the plurality of applications in a pre-configured resource pool; and when a capacity enlargement request regarding a certain application is detected, starting the application in the resource pool according to the instance resource information of the applications. By pre-configuring the instance resource information, when capacity enlargement is needed, an instance of an application is started directly, and traffic can be immediately cut-in for service, thus complex capacity enlargement steps are avoided, the capacity enlargement period is greatly shortened, rapid capacity enlargement is realized, and the stable operation of the applications is ensured.

Description

Expansion method, device and system for application

The present application claims priority to Chinese Patent Application No. Serial No. No. No. No. No. No. No. No. No. No. No. No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No

Technical field

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

Background technique

Cloud computing is a computing model that provides dynamically scalable virtual resources over the Internet in a service manner. In this way, shared hardware and software resources and information can be provided to computers and other devices on demand.

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

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

Another solution is to expand the application, that is, to start the expansion of the application in a short time.

To expand the application, the conventional way is to take the expansion process and prepare the resources step by step.

For example, initiating a capacity expansion request, including the requested application name, the requested resource, and then the resource allocation system calculates the assignable resource location information, relies on the underlying operation and maintenance tool, generates the virtual machine container, synchronizes the application code and configuration information, and the like. After the initialization and start the application, open the alarm monitoring and other operation and maintenance tools, and finally the service is officially online.

However, this conventional method of capacity expansion has many steps, and the expansion period is long and the efficiency is low. In the scenario of e-commerce promotion, the peak time of the traffic is short, and it is concentrated in a period of time. If this time period is missed, there is no expansion. The effect is that from the perspective of time efficiency, this conventional expansion method cannot meet the demand.

Summary of the invention

In view of the above problems, embodiments of the present application are provided to provide an expansion method of an application that overcomes the above problems or at least partially solves the above problems, and a corresponding expansion device of an application, and an expansion system of an application.

In one aspect, the embodiment of the present application discloses an application expansion system, and the system includes:

One or more processors;

Memory; and

One or more modules, the one or more modules being stored in the memory and configured to be executed by the one or more processors, the one or more modules having the following functions:

Determining multiple resource information required for multiple application expansion;

Generating a plurality of instance resource information for the plurality of applications in the preset resource pool according to the plurality of 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.

On the other hand, the embodiment of the present application discloses an application expansion method, including:

In another aspect, the embodiment of the present application discloses an application expansion device, including:

a resource information determining module, configured to determine multiple resource information required for expansion of multiple applications;

An instance resource information generating module, configured to generate multiple instance resource information for the multiple applications in the preset resource pool according to the multiple instance resource information;

The instance startup module is configured to start an application according to the instance resource information of the application in the resource pool when detecting a capacity expansion request for an application.

Embodiments of the present application include the following advantages:

The embodiment of the present application determines a plurality of resource information required for the expansion of a plurality of applications, and generates multiple instance resource information for multiple applications in a preset resource pool according to the plurality of resource information, and detects an expansion request for an application. The application is started in the resource pool according to the instance resource information of the application. By configuring the instance resource information in advance, you can directly start the application instance when you need to expand the capacity. You can immediately cut in the traffic for service and avoid the cumbersome expansion steps. The cycle of capacity expansion is greatly reduced, and the rapid expansion is realized to ensure stable operation of the application.

DRAWINGS

1 is a flow chart showing the steps of an embodiment of a method for expanding a volume of the application;

2A-2C are diagrams showing an example of expansion of an application according to an embodiment of the present application;

3 is a structural block diagram of an embodiment of an expansion device of an application of the present application;

4 is a schematic structural diagram of a server embodiment of the present application.

detailed description

The above described objects, features and advantages of the present application will become more apparent and understood.

Referring to FIG. 1 , a flow chart of steps of an application expansion method of an application of the present application is shown, which may specifically include the following steps:

Step 101: Determine a plurality of resource information required for the expansion of multiple applications.

In the embodiment of the present application, it can be applied to a cloud computing-based platform, and the cloud computing-based platform is a macroscopic concept, and more is related to a business attribute or a service form, and multiple applications construct the platform.

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

The application may include a web application, and the web application is not necessarily limited to the web, and may be an application of a wireless APP (Application), for example, if the cloud computing platform is an e-commerce platform, the platform is An application can implement the function of querying product data, and an application can realize the function of obtaining member information, receiving address, and the like.

The web application can be deployed in a cloud-based computer cluster, such as a distributed system, in which a web application submitted by a user (developer) is placed in a corresponding web container, and a matching load balancer, database, and storage service are configured. Wait for the corresponding components to ultimately ensure that the web application runs flawlessly.

Cloud-based computing refers to adapting the architecture, processes, and models of Web application deployment and expansion to the basic environment of cloud computing, thereby enabling rapid deployment and dynamic capacity expansion using common cloud computing infrastructure services (IaaS). Provide platform and service (PaaS).

Web application expansion is aimed at the 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, the load changes are applied, and the utilization of service resources is improved under the premise of ensuring service quality.

In the embodiment of the present application, an application that needs to be a fast expansion service object, that is, an application, may be collected in advance. In the scenario of e-commerce promotions, there is a need for rapid capacity expansion, and the maximum capacity that needs to be backed up for rapid expansion, that is, how much resources need to be prepared for an application for emergency capacity expansion.

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

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

In an embodiment of the present application, step 102 may include the following sub-steps:

Sub-step S11, for each application, extracting resource specification information and a quantity of resources from the resource information;

Sub-step S12, in the plurality of physical machine nodes, allocating resource space to the application according to the quantity of resources;

Sub-step S13, in the resource space, instance resource information is generated according to the resource specification.

In the embodiment of the present application, when the pre-expansion processing is performed, information such as an application name, resource specification information (for example, the number of CPUs, the size of the memory, the size of the disk, and the like), the number of resources, and the like of the application may be determined.

The product of the resource specification information and the number of resources, that is, the total amount of resources needed for the application to be expanded once.

The resource specification information and the number of resources may be specified by a technician, or may be estimated according to the traffic, and the embodiment of the present application does not limit this.

Each physical machine node provides one or more resource spaces, and one resource space can carry one resource specification information, that is, the physical machine node can provide resources for the application to expand.

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

When allocating resource space, you can allocate resource space to the application according to one or more of the following feature information:

Application running feature information, application stability feature information, and neighbor application feature information.

The application running feature information is related data provided by the historical monitoring system, and the application stability feature is calculated from the comprehensive calculation of the application attribute, and the neighbor application feature is data that is jointly precipitated by the service and the runtime.

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

For example, if an application occupies more CPU/bandwidth (application running characteristics), the deployed application occupies the resource space of the physical machine node with less CPU/bandwidth (neighbor application feature); an application involves the resource loss (application running) Feature), as follows, if the order is lost, the shopping site needs to pay), then select the resource space of the physical machine node that deploys the application (neighbor application feature) that involves the loss, and an application limits a physical machine node to not exceed 2 (application running characteristics), select the resource space of the physical machine node that does not deploy the application, and so on.

For example, if an application is a coordination node (application stability feature), the deployment is dispersed as much as possible to avoid centralized deployment in the same physical machine node; the application instances are deployed as widely as possible (application stability characteristics), and centralized deployment is avoided. In a physical machine node, and so on.

Generally, a physical machine node adopts a low-proportional manner to configure a virtual machine, and the total amount of resources required for instance resource information generated in one physical machine node is generally less than or equal to the actual resource total of the physical machine node, for example, for example, A physical machine node is virtualized into 8 virtual machines, so you can understand 1 virtual 8 and the ratio is 8.

In the embodiment of the present application, the virtual machine is configured in a high-match manner. For example, if one physical machine node is virtualized into 100 virtual machines or even more virtual machines, then one virtual 100 can be understood, and the ratio is 100.

Therefore, in general, the total amount of resources required for instance resource information generated in one physical machine node is greater than the total amount of physical resources of the physical machine node.

In practical applications, applications that require emergency capacity expansion are a few uncertain applications. The high ratio is prepared by pre-preparing potential application expansion requirements to avoid redundant backup of resources.

For example, for an application that performs emergency capacity expansion, the physical machine node provides the resources required for the application with the largest capacity expansion, so that the allocation of the virtual 100 can support the rapid expansion of any one of the 100 applications.

The allocation of high ratio refers to M applications and is deployed on X resources at the same time. The number of applications that X physical machine nodes can provide services is Y. Then, the X physical machine nodes actually virtualize Y*M resource spaces. The conventional ratio X physical machine nodes provide Y resource spaces.

For example, two physical machine nodes, assuming that the conventional matching method is 1 virtual 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.

Assuming that the high 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, you can see this part of the resources, but in actual implementation, due to limited resources, there may be only 2 applications that actually use this part of the resources.

In the embodiment of the present application, the instance resource information of the application may be evenly distributed on the physical machine node, so that the traffic is balanced, the load is balanced, and the stability is improved.

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

For example, if 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 one instance resource information is deployed on each physical machine node.

Step 103: When detecting a capacity expansion request for an application, start an application in the resource pool according to the instance resource information of the application.

In this embodiment, the resource load information of the application may be monitored to determine whether an application needs to be expanded.

In a specific implementation, the application cluster may be deployed on multiple virtual machines, and the monitoring module of the virtual machine is resident in the physical machine node in the form of a service process, and multiple virtual entities are collected periodically (for example, every minute) from the physical machine node. The unit's single resource load information, for example, CPU (Central Processing Unit) utilization, memory utilization, disk utilization, response speed, etc., through the use of averaging, weighted summation, etc. The 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 reflection of functions, and the load of different web applications on the server is not the same.

Therefore, there are many metrics for the load of the web application. From the perspective of QoS (Quality of Service), there are many indicators such as the number of concurrent users, the number of active connections, the number of requests per second, and the average time of requests. And directly from the load of the server, it can be divided into CPU utilization, memory utilization, disk utilization, bandwidth utilization, and the like, and can be set by a person skilled in the art according to the actual situation. Limit it.

For example, for an application download website, it generally has a large bandwidth occupation, which is bandwidth-intensive, and the load monitoring can be mainly based on bandwidth consumption; for an online banking, the calculation process is relatively large, which is computationally intensive, and the CPU utilization rate is It will be relatively high, the load monitoring can be based on CPU utilization; for a content management website, when many users simultaneously submit content, it will make disk or database I/O (input/output), input/output) Busy, I/O intensive, load monitoring 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, virtual machine resources can be dynamically allocated, and a virtual machine can be invoked by a corresponding interface. Cloud-based Web Applications can leverage this feature to build scalable application clusters for changing workloads.

If an application needs to be expanded, the target instance resource information may be selected from the instance resource information of the application according to one or more of the following feature 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 expansion, and a physical machine node is completely idle, an instance of the application can be started from the physical machine node.

It is assumed that another application is also expanded in the near future. In this case, the instance resource information that satisfies the latter application is preferentially started, and the physical device node that is not activated by the application instance is started, and the instance is started. In this way, the instance can be started from a relatively free physical machine node.

If you select the target instance resource information, you can use the target instance resource information to occupy resources in the resource pool to create a virtual machine. You can obtain the application image file in the preset container mirroring center and deploy the image file in the virtual machine. When the deployment is successful, launch the application deployed on the virtual machine.

In a specific implementation, an agent (agent) on the target server can be executed to perform mirroring deployment.

Because of the variety of virtual machines, such as XEN, LVM, CLOCKER, LXC, etc., the deployment of mirroring is also different.

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

For example, if the virtual machine is CLOCKER, it is virtualized with a container. Enter the command, clocker pull<image_name>, clocker run<image_name> to deploy the virtual machine and start the container. Image_name is the name of the image.

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

Since the cloud computing-based platform generally installs a reverse proxy component in the application domain to implement request distribution, when the application accesses the application cluster, the IP address of the physical machine node to which the application belongs can be added to the reverse The list of balanced load domains of the proxy component enables the balanced loader to detect the application, thereby cutting traffic (such as user requests) into the application for processing and providing services externally.

The embodiment of the present application determines multiple instance resource information required for multiple application expansion, and generates multiple instance resource information for multiple applications in a preset resource pool according to multiple instance resource information, when detecting an application for an application. In the case of a capacity expansion request, the application is started in the resource pool according to the instance resource information of the application. By configuring the instance resource information in advance, you can directly start the application instance when you need to expand the capacity. You can immediately cut in the traffic for service and avoid the cumbersome expansion. The steps greatly reduce the expansion period and achieve rapid capacity expansion to ensure stable application.

In one embodiment of the present application, there may be a need to apply an emergency release before the e-commerce promotion or the like begins.

At this time, the information of the high-performance physical machine node, the configuration of the application on the regular physical machine node, and the application code need to be updated uniformly to ensure the application consistency and accuracy after the expansion.

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

Otherwise, the high ratio physical machine node may be faulty after the expansion due to code or configuration inconsistency. error.

In order to enable a person skilled in the art to better understand the embodiments of the present application, the expansion method applied in the embodiments of the present application is described below by using specific examples.

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

The image file of the application, such as Image_01, Image_02, Image_03, and the like, is stored in the container mirror center 203.

The cluster scheduling center 202 retrieves the 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 a plurality of physical machine nodes, such as a physical machine node A 2021, a physical machine node B 2042, and the like. Each physical machine node provides one or more resource spaces by means of a high ratio, and one or more resource spaces may be deployed. Multiple virtual machines.

As shown in FIG. 2B, if the physical machine Node B 2042 has idle resources, the instance resource information of the application (ie, the resource space in the dotted circle) may be deployed at the physical machine Node B 2042.

As shown in FIG. 2C, the operation console 201 calculates the overall resource load of the application cluster by collecting average resource load information of multiple virtual machines, for example, CPU utilization, memory utilization, disk utilization, and the like. Information to determine whether to expand.

When it is determined that capacity expansion is required, the cluster scheduling center 202 can execute an agent deployed on the server B 2042 to perform mirroring deployment.

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

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

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

The application is registered in the load balancer 205, and the load balancer 205 cuts the 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 expressed as a series of action combinations, but those skilled in the art should understand that the embodiments of the present application are not limited by the described action sequence, because In accordance with embodiments of the present application, certain steps may be performed in other sequences or concurrently. In the following, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required in the embodiments of the present application.

Referring to FIG. 3, a structural block diagram of an embodiment of a content expansion apparatus of an application of the present application is shown, which may specifically include the following modules:

The resource information determining module 301 is configured to determine a plurality of resource information required for the expansion of the plurality of applications;

The instance resource information generating module 302 is configured to generate multiple instance resource information for the multiple applications in the preset resource pool according to the multiple resource information.

The instance startup module 303 is configured to start an application according to the instance resource information of the application in the resource pool when detecting a volume expansion request for an application.

In an embodiment of the present application, the resource pool includes a plurality of physical machine nodes, and each physical machine node provides one or more resource spaces;

The instance resource information generating module 302 can include the following sub-modules:

a resource parameter extraction submodule, configured to extract resource specification information and a quantity of resources from the resource information for each application;

a resource space allocation submodule, configured to allocate a resource space to the application according to the quantity of the resources in the plurality of physical machine nodes;

The resource space generating submodule is configured to generate instance resource information according to the resource specification in the resource space.

In an embodiment of the present application, the resource space allocation submodule may include the following units:

a feature allocation unit, configured to allocate a resource space to the application according to one or more of the following feature information:

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

In an embodiment of the present application, the instance startup module 303 may include the following submodules:

The target instance resource information selection submodule is configured to select target instance resource information from the instance resource information of the application according to one or more of the following feature information:

Load status of physical machine nodes, application stability characteristics, and resource idleness of physical machine nodes;

a target instance resource information startup submodule, configured to occupy resources in the resource pool according to the target instance resource information, to create a virtual machine;

The image file obtaining submodule is used to obtain an image file of the application in the preset container mirror center;

An image file deployment submodule, configured to deploy the image file in the virtual machine;

The application launch submodule is configured to start an application deployed on the virtual machine when the deployment is successful.

In an embodiment of the present application, the apparatus may further include the following modules:

The instance resource information update module is configured to update instance resource information of the application in the resource pool when an application is updated.

For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

An embodiment of the present invention further provides an application expansion system, where the system includes:

One or more processors;

Memory; and

One or more modules, the one or more modules being stored in the memory and configured to be executed by one or more processors, wherein the one or more modules have the following functions:

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:

Extracting resource specification information and resource quantity from the instance resource information for each application;

Allocating a resource space for the application according to the quantity of resources in the plurality of physical machine nodes;

In the resource space, instance resource information is generated according to the resource specification.

Optionally, the one or more modules may have the following functions:

Allocating resource space to the application according to one or more of the following characteristic information:

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

Optionally, the one or more modules may have the following functions:

The target instance resource information is selected from the instance resource information of the application according to one or more of the following feature information:

Generating 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 the preset container mirror center;

Deploying the image file in the virtual machine;

When the deployment is successful, launch the application deployed on the virtual machine.

Optionally, the one or more modules may have the following functions:

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

4 is a schematic structural diagram of a server provided by an embodiment of the present application. The server 400 can vary considerably depending on configuration or performance, and can include one or more central processing units (CPUs) 422 (eg, one or more processors) and memory 432, one or one The storage medium 430 (for example, one or one storage device in Shanghai) that stores the application 442 or the data 444 above. Among them, the memory 432 and the storage medium 430 may be temporarily stored or persistently stored. The program stored on storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations in the server. Still further, central processor 422 can be configured to communicate with storage medium 430, executing a series of instruction operations in storage medium 430 on server 400.

Server 400 may also include one or more power sources 426, one or more wired or wireless network interfaces 450, one or more input and output interfaces 758, one or more keyboards 456, and/or one or more operating systems 441. For example, Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

The central processor 422 can execute instructions on the server 400 for:

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 can also execute instructions on the server 400 for the following operations:

Alternatively, the central processor 422 can also execute instructions on the server 400 for:

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

Obtain an image file of the application in the preset container mirror center;

Deploying the image file in the virtual machine;

The various embodiments in the present specification are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same similar parts between the various embodiments can be referred to each other.

Those skilled in the art will appreciate that embodiments of the embodiments of the present application can be provided as a method, apparatus, or computer program product. Therefore, the embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, embodiments of the present application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

In a typical configuration, the computer device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory. RAM Is an example of a computer readable medium. Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The 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), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. 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 application are described with reference to flowcharts and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing terminal device to produce a machine such that instructions are executed by a processor of a computer or other programmable data processing terminal device Means are provided for implementing the functions specified in one or more of the flow or in one or more blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The instruction device implements the functions specified in one or more blocks of the flowchart or in a flow or block of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device such that a series of operational steps are performed on the computer or other programmable terminal device to produce computer-implemented processing, such that the computer or other programmable terminal device The instructions executed above provide steps for implementing the functions specified in one or more blocks of the flowchart or in a block or blocks of the flowchart.

While a preferred embodiment of the embodiments of the present application has been described, those skilled in the art can make further changes and modifications to the embodiments once they are aware of the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including all the modifications and the modifications

Finally, it should also be noted that in this context, relational terms such as first and second are used merely 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 operations. Moreover, the terms "including", "comprising" or any of them Other variations are intended to encompass non-exclusive inclusions, such that a process, method, article, or terminal device that comprises a plurality of elements includes not only those elements but also other elements not specifically listed or included The elements inherent in methods, articles, or terminal equipment. An element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or terminal device that comprises the element, without further limitation.

The above describes the expansion method of an application provided by the present application, an expansion device of an application, and an expansion system of an application, and a specific example is applied herein to explain the principle and implementation manner of the application. The description of the above embodiments is only for helping to understand the method of the present application and its core ideas; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in specific embodiments and application scopes. In summary, the content of this specification should not be construed as limiting the application.

Claims

An application expansion system, characterized in that the system comprises:

One or more processors;

Memory; and

One or more modules, the one or more modules being stored in the memory and configured to be executed by the one or more processors, the one or more modules having the following functions:

Determining multiple resource information required for multiple application expansion;

Generating a plurality of instance resource information for the plurality of applications in the preset resource pool according to the plurality of 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.
A method for expanding an application, comprising:

Determining multiple resource information required for multiple application expansion;

Generating a plurality of instance resource information for the plurality of applications in the preset resource pool according to the plurality of 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.
The method according to claim 2, wherein the resource pool comprises a plurality of physical machine nodes, and each physical machine node provides one or more resource spaces;

The step of generating multiple instance resource information for the multiple applications in the resource pool according to the multiple resource information includes:

Extracting resource specification information and resource quantity from the instance resource information for each application;

Allocating a resource space for the application according to the quantity of resources in the plurality of physical machine nodes;

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 to the application according to the quantity of resources comprises:

Allocating resource space to the application according to one or more of the following characteristic information:

Application running feature information, application stability feature information, and neighbor application feature information.
The method according to claim 3, wherein the total amount of resources required for instance resource information instance resource information generated in one physical machine node is greater than the total amount of actual resources of the physical machine node.
Method according to claim 2 or 3 or 4 or 5, wherein said said resource pool The step of starting an application according to the instance resource information instance resource information of the application includes:

The target instance resource information is selected from the instance resource information of the application according to one or more of the following feature information:

Load status of physical machine nodes, application stability characteristics, and resource idleness of physical machine nodes;

Generating 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 the preset container mirror center;

Deploying the image file in the virtual machine;

When the deployment is successful, launch the application deployed on the virtual machine.
The method according to claim 2 or 3 or 4 or 5, further comprising:

When an application is updated, the instance resource information instance resource information of the application is updated in the resource pool.
An application expansion device, comprising:

a resource information determining module, configured to determine multiple resource information required for expansion of multiple applications;

An instance resource information generating module, configured to generate multiple instance resource information for the multiple applications in the preset resource pool according to the multiple instance resource information;

The instance startup module is configured to start an application according to the instance resource information of the application in the resource pool when detecting a capacity expansion request for an application.
The apparatus according to claim 8, wherein the resource pool comprises a plurality of physical machine nodes, and each physical machine node provides one or more resource spaces;

The instance resource information generating module includes:

a resource parameter extraction submodule, configured to extract resource specification information and a quantity of resources from the instance resource information for each application;

a resource space allocation submodule, configured to allocate a resource space to the application according to the quantity of the resources in the plurality of physical machine nodes;

The resource space generating submodule is configured to generate instance resource information according to the resource specification in the resource space.
The device according to claim 9, wherein the resource space allocation sub-module comprises:

a feature allocation unit, configured to allocate a resource space to the application according to one or more of the following feature information:

Application running feature information, application stability feature information, and neighbor application feature information.