Method and system for automatic selection of application proxy server

Abstract

The invention discloses a method and a system for automatically selecting an application proxy server. The method and the system are used for selecting the optimal proxy server at last by comprehensively considering factors such as server load, resource requirements of applications, current distribution of applications and exclusiveness between applications. The method and the system are characterized in that in the load estimation aspect, the load balance of multi-dimension resources is taken into account so that the load condition of each server can be estimated more accurately, in the aspect of estimating the resource requirements of applications, historical data are used for estimating the resource requirements of applications, and certain foreseeability and relatively high accuracy are achieved, in the application distribution aspect, all applications at present are counted accurately and the optimal running positions of the applications are entirely controlled from a server cluster, and in the application exclusiveness aspect, the exclusive applications possibly competing with each other in resources are analyzed according to the resource utilization situations of all the applications, and therefore, the exclusive applications are prevented from running in the same server and the resource requirements of the applications are met to the utmost extent.

Description

technical field [0001] The invention relates to a method and system for automatically selecting an application proxy server. Background technique [0002] With the rapid rise and development of cloud computing technology, more and more cloud computing solutions have been practically applied and promoted. In essence, what cloud computing brings to everyone is a resource consumption model like water, electricity, and coal. Generally, users customize resources according to actual needs, and use terminal devices to obtain computing, storage, network, etc. through remote connections. Resources, all available resources come from the cloud, that is, the Internet or server clusters, while cloud terminals include: PCs, mobile phones, tablet computers, vehicle-mounted devices, and wearable devices. [0003] As a key technology of cloud computing, virtualization technology generally includes: resource virtualization and application virtualization. Through the virtualization platform, ...

AI Technical Summary

Problems solved by technology

Only relying on the above single method, its implementation is simple, the application scenarios are limited, it is difficult to meet the multi-application and multi-concurrent user scenarios, and it does not consider the resource competition among multiple applications, and it cannot satisfy the application dynamics of the application proxy server cluster Deployment and resource scheduling requirements

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