WCSE

Credibility Evaluation Index System for Cloud Services Based on Rough Set and Fruit Fly Optimization Algorithm Attribute Reduction

Abstract— In the information age, cloud computing has become a major point of Internet application, linking a large number of computing, storage and software resources together to form a huge scale of shared virtual IT resource pool, providing users with seemingly "unlimited capacity" of IT services. However, while cloud services provide convenience for people's life and production and create a space for computing technology, the risks that come with it cannot be ignored. When data is handed over to cloud service providers, the one with priority access to data is not the corresponding user, but the cloud service provider, so the possibility of user data being leaked cannot be ruled out. Therefore, a comprehensive and dynamic evaluation of the quality level of cloud services becomes the focus. In this paper, we focus on the credible evaluation of cloud services, establish cloud service evaluation indexes based on comprehensive, clear and measurable guidelines according to the characteristics of cloud services, and propose an attribute reduction algorithm based on rough set and fruit fly optimization algorithm for cloud services in different scenarios to achieve attribute reduction and exclude redundant cloud service indexes for different types of cloud services.

Index Terms— cloud service, credibility, rough set, attribute reduction

Rui Ju
Faculty of Information Technology, Beijing University of Technology
Xuejun Yu
Faculty of Information Technology, Beijing University of Technology

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Cite: Rui Ju, Xuejun Yu, "Credibility Evaluation Index System for Cloud Services Based on Rough Set and Fruit Fly Optimization Algorithm Attribute Reduction," WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 30-37, Sanya, China, April 15-18, 2022.