Method for evaluating services based on fuzzy theory in cloud environment

Abstract

The invention discloses a method for evaluating services based on the fuzzy theory in a cloud environment. The method includes the steps that 1, the direct trust evaluation vector of an SC entity A on an SP entity B is calculated through the formula shown in the specification; 2, the indirect trust evaluation vector of the SC entity A on the SP entity B is calculated; 3, a direct trust value DTA,B of the direct trust evaluation vector is obtained based on the fuzzy theory, and an indirect trust value ITA,B of the indirect trust evaluation vector is obtained based on the fuzzy theory; 4, the integrated trust value of the SC entity A on the SP entity B is calculated through the formula that TA,B=alpha DTA,B+(1-alpha)ITA,B; 5, a direct QoS evaluation value DQA,B is calculated according the actual evaluation of the SC entity A on the jth-dimension QoS of the SP entity B in the latest T times of interaction; 6, an indirect QoS evaluation value IQA,B is calculated according to the integrated trust value of the SC entity A on the SP entity B; 7, a final evaluation value is obtained by integrating the direct QoS evaluation value DQA,B with the indirect QoS evaluation value IQA,B. According to the method, the QoS of the SC entities is accurately and comprehensively evaluated through a fuzzy mathematical method.

Description

technical field [0001] The invention relates to the field of cloud security, in particular to a service evaluation method based on fuzzy theory in a cloud environment. Background technique [0002] Cloud computing is a new type of business computing model, which distributes computing tasks on a virtual resource pool composed of a large number of computers, so that various application systems or users can obtain corresponding services according to their needs. With the rapid development of cloud computing and Web service technology, service levels are differentiated for various services of varying quality that provide similar or the same functions, so that high-quality services have a higher service level in the cloud environment, and inferior services have a lower level. Low service levels in order to promote the widespread use of cloud computing. [0003] In recent years, scholars at home and abroad have conducted research on the evaluation methods of cloud service quality...

AI Technical Summary

Problems solved by technology

[0003] In recent years, scholars at home and abroad have conducted research on the evaluation methods of cloud service quality, most of which assume that the quality of service (QoS) data released by the service provider SP (Service Provider) is true, but in reality, the information released by the SP It may not be true and credible, so it will inevitably affect the choice of service by SC (Service Consumer)

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