Title: Reputation measurement of cloud services based on unstable feedback ratings

Authors: Shangguang Wang; Lei Sun; Qibo Sun; Jie Wei; Fangchun Yang

Addresses: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China

Abstract: With the rapid development of cloud computing, more and more service providers could provide cloud services (applications) to users. Faced with mass cloud services, trust and reputation mechanisms offer a promising way to solve the trust evaluation of cloud services. Hence, trust and reputation play an important role in evaluation of cloud services. In this paper, we propose a lightweight reputation measurement approach for cloud services based on (user) feedback ratings. The proposed approach first adopts cloud model to obtain the trust vector of each cloud service by exploiting feedback ratings. The trust vector consists of expected value, entropy value and hyper-entropy value. Then we use the fuzzy set theory to calculate the reputation scores of cloud services. Simulation results show that the proposed approach is significantly effective for unstable feedback ratings.

Keywords: cloud services; feedback ratings; trust; reputation measurement; cloud computing; unstable feedback; user feedback; service evaluation; expected value; entropy value; hyper-entropy value; fuzzy set theory; simulation; fuzzy logic.

DOI: 10.1504/IJWGS.2015.072805

International Journal of Web and Grid Services, 2015 Vol.11 No.4, pp.362 - 376

Available online: 28 Oct 2015 *

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