Outsourcing method for supporting development of elastic cloud computing platform

Abstract

The invention discloses an outsourcing method for supporting development of an elastic cloud computing platform. In the method, after functional demands and non-functional demands of users of a cloud computing platform terminal are determined, the following steps of functional demands matching, non-functional demands matching, non-functional quality indexes converging, matched candidate resources evaluating and optical outsourcing resources determining are performed, wherein in the step of non-functional quality indexes converging, for matched candidate resources, a converging matching domain of reference indexes is determined according to the dependence relationship between the reference indexes and subordinate indexes; in the step of matched candidate resources evaluating, a priority sequence of the matched candidate resources is determined according to an evaluation criterion of the cloud computing platform and the converging matching domain of the reference indexes; and in the step of optimal outsourcing resource determining, the optimal matched candidate resources in the evaluation sequencing are taken as the optimal outsourcing resource of the cloud computing platform. The method can be widely applied to the large-scale scientific research problem-solving environment, resource optimal distribution of the medium-sized and small enterprises, electronic commerce and individualized terminal application; and the method supports the configuration selection of the outsourcing resources and the development deployment of the elastic cloud computing platform.

Description

technical field [0001] The invention relates to a resource outsourcing method supporting the development of an elastic cloud computing platform, especially suitable for when a cloud computing platform does not have some or all resources required by end users, the cloud computing platform selects a suitable outsourcing resource from its external resource registration agency resources to meet the resource requirements of end users and ensure the resource elasticity of the cloud computing platform. Background technique [0002] The long-standing concept of resource reuse and sharing has continuously promoted the continuous evolution of computing models. From early distributed computing, to later grid computing, service computing, and to today's cloud computing, the use and configuration of IT resources are undergoing unprecedented changes. In a cloud computing environment, all IT resources (including hardware resources, software resources, infrastructure resources, and platfor...

AI Technical Summary

Problems solved by technology

However, the resource requirements of end users are unlimited and constantly increasing, and a limited cloud computing platform cannot hold the unlimited IT resources required by end users

Therefore, when a cloud computing platform does not have the IT resources required by end users or the cloud computing platform has the required IT resources but the resource usage cost is too high, end users will turn to other cloud computing plat

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