关键词: 虚假云服务, 蒙特卡洛超体积算法, 云服务聚类, 可信度评估, 综合评价

Abstract: With the development of cloud manufacturing service model,a lot of cloud services mixed with fake cloud services exist in the cloud pool,thus the rights of cloud service providers are damaged because of the fake cloud services that aim to the vicious competition,and it is difficult for the cloud service users to choose real and optimal cloud service.To solve this problem,a hypervolume algorithm based on Monte Carlo simulation for eliminating fake cloud service was proposed.After eliminating the fake cloud service,a fuzzy C-means clustering algorithm based on genetic algorithm for the credibility assessment of cloud service was proposed and used to cluster the cloud service and evaluate the credibility of the clustering center.The comprehensive evaluation method with combination weighting that was composed of Analytic Hierarchy Process (AHP) and entropy value method was introduced to evaluate the cloud service for obtaining the comprehensive values,and the cloud services were optimally chosen based on the credibility rating and the comprehensive values.Through a machinery trading cloud platform,the effectiveness of the proposed algorithm was verified.The results showed that algorithm could effectively identify the fake cloud services,determine the priority of the cloud services and chose the best cloud service.

Key words: fake cloud service, Monte Carlo hypervolume algorithm, cloud service clustering, credibility assessment, comprehensive evaluation