A cloud service optimization method based on variable granularity, cloud server

Abstract

The invention belongs to the technical field of cloud service computing, and discloses a cloud service optimization method and a cloud server based on variable granularity to construct a cloud service evaluation index set; the index set levels are respectively from bottom to top: fine-grained index, medium-grained index, coarse Granularity indicators, the evaluation values ​​of middle-level and upper-level indicators are based on the evaluation values ​​of bottom-level indicators; construct a cloud service variable granularity evaluation system; obtain the score value V of each cloud service at different service quality levels HQ , V MQ , V LQ According to the quality requirements of cloud services, users sort cloud services at different levels and with different granularity requirements, and select cloud services with high scores in some aspects. The present invention comprehensively and quantitatively evaluates cloud services based on multi-granularity, multi-level, and multi-demand considerations, converts cloud service indicators from qualitative to quantitative through cloud models, and evaluates the single and comprehensive performance of cloud services more comprehensively. A valid choice for cloud services.

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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