Cloud service optimal selection method based on variable granularity and cloud server

Abstract

The invention belongs to the technical field of cloud service computing and discloses a cloud service optimal selection method based on variable granularity and a cloud server. The method comprises the steps of establishing a cloud service evaluation index set, wherein layers of the index set comprise fine granularity indexes, medium granularity indexes and coarse granularity indexes from bottom to top, and evaluation values of medium layer and upper layer indexes are based on the evaluation values of bottom layer indexes; establishing a cloud service variable granularity evaluation system; obtaining scores V<HQ>, V<MQ> and V<LQ> of each piece of cloud service on different quality of service levels, ranking the scores of the cloud service of different layers and different granularity demands by a user based on quality demands for the cloud service, and selecting the cloud service with high scores in some aspects. According to the method and the cloud server, the comprehensive quantitative evaluation is carried out on the cloud service based on multi-granularity, multi-layer and multi-demand consideration, the qualitative to quantitative conversion is carried out on the cloud service indexes through utilization of a cloud model, the single performance and comprehensive performance of the cloud service are evaluated relatively comprehensively, and the cloud service is effectivelyselected.

Description

technical field [0001] The invention belongs to the technical field of cloud service computing, and in particular relates to a variable granularity-based cloud service optimization method and a cloud server. Background technique [0002] As the types and quantities of cloud services deployed on the Internet continue to grow, a large number of cloud services with the same or similar functions emerge. Users often have different non-functional requirements for services, so it is of great practical significance to provide users with comprehensive and reliable selection basis and help users choose cloud services that meet their needs from many cloud services. At present, there are existing cloud service selection methods, which mainly evaluate cloud services from the aspects of security, reliability, and availability to realize cloud service selection; however, there are still some problems: the existing cloud service selection methods mainly focus on Quality, or cloud service s...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing cloud service selection methods evaluate cloud services from a single angle or focus on certain aspects, the selection of evaluation indicators is not comprehensive enough, the evaluation method is single, and it is difficult to meet the requirements of complex cloud computing. Quantitative analysis and comprehensive evaluation of multi-task granularity cloud services in the environment

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