Method and system for automatically and flexibly assigning resource under cloud platform

Abstract

The invention provides a method and system for automatically and flexibly assigning resource under a cloud platform. The method includes steps of A, application disposition files, B, downloading the application disposition files, parsing the disposition files and storing the disposition information to a database, C, assigning required resources to the application according to the disposition information, D, downloading application mirror image documents, starting containers, running the application and forming an application container cluster, E, determining whether the assigned resource is consistent with the disposition files, and if the assigned resource can not satisfy the disposition files, the unsatisfied portion of the disposition files waiting the re-assigning of a server resource management platform, F, automatically monitoring and reading monitoring data of the application container cluster, monitoring the quantity of the current live applications and calculating the average monitoring data of the application container cluster in a first time period, G, comparing whether the quantity of the current live applications satisfies the protection rules, and repeating the step C-G if the quantity of the current live applications is within the threshold scope.

Description

technical field [0001] The invention relates to cloud computing, in particular to a method and system for automatically and elastically allocating resources on a cloud platform. Background technique [0002] Cloud computing is the product of the integration of traditional computer and network technologies such as grid computing, distributed computing, parallel computing, network storage, and virtualization. It is the core technology of the next-generation network computing platform, which distributes computing tasks among a large number of physical computers. On the resource pool, various applications can obtain computing power, storage space and information services on demand, so as to realize the comprehensive and transparent sharing of resources and the reliable and safe storage of data. It fundamentally changes the way information is released, obtained and shared. [0003] With the advent of the era of cloud computing, application deployment has evolved from stand-alone ...

AI Technical Summary

Problems solved by technology

The second is manual deployment and expansion; this method is often used in old systems. When the system is being developed, the architect reserves the ability to expand horizontally, but the expansion method can only be manually adding or deleting nodes.

Uneven traffic distribution leads to high system requirements for elastic expansion response time

Furthermore, the existing technical solution is usually to deploy the application directly to the physical machine, so before the deployment, it is necessary to install the dependent files, copy the configuration file, and clean up the system environment after the application is offline. Therefore, the deployment process is cumbersome and requires complex manual operation

[0008] Therefore, in order to solve the problems of cumbersome processes, heavy workload, and insufficient response in the above-mentioned prior art for guarding and elastic expansion, the present invention proposes a method for automatically and elastically allocating resources under the cloud platform and system

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