Energy efficiency evaluation model for cloud computing

Abstract

The invention provides an energy efficiency evaluation model for cloud computing. The method comprises the following steps: firstly, establishing a hierarchical structure model by using an analytic hierarchy process, and decomposing a decision problem into three hierarchies; secondly, comparing the importance of each element in the same layer with respect to a certain element in the previous layerin pairs, and constructing a judgment matrix; and then, calculating the weights of all elements of the layer to related elements of the upper layer by calculating the judgment matrix, and further synthesizing the weight of the elements of the upper layer by utilizing the calculation result of the single-layer weight; sorting the elements, and calculating the index weight occupied by each layer ofelements; and finally, comprehensively evaluating the energy efficiency index schemes by using an analytic hierarchy process and an approximate ideal solution sorting method to obtain the relative closeness between each index evaluation scheme and the optimal scheme so as to obtain the optimal scheme. According to the method, the problem of evaluation index weight distribution during multi-factordecision making is solved, the current decision making and evaluation problems are perfected, and the method has practicability in the aspect of energy efficiency evaluation.

Description

technical field [0001] The invention relates to a cloud computing-oriented energy efficiency evaluation model, which belongs to the field of cloud computing. Background technique [0002] With the development and popularization of Internet application technology, especially the rapid growth of network data volume, the increased information resources contain a huge amount of valuable information, and users have higher and higher requirements for computing speed. "era. Cloud computing is the growth, usage and delivery model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. In order to support large-scale cloud customer access and use, compared with traditional data centers, cloud computing data centers need to have a larger server scale, and centrally integrate several or even dozens of traditional-scale data centers for centralized data backup. , computing and management in order to...

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Problems solved by technology

In summary, it can be seen that the key index evaluation system is not perfect

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