云环境下基于协同推荐的信任评估与服务选择  

Trust Evaluation and Service Selection Based on Collaborative Recommendation for Cloud Environment

作　　者：游静[1] 冯辉[1] 孙玉强[1] 

机构地区：[1]常州大学信息科学与工程学院,常州213164

出　　处：《计算机科学》2016年第5期140-145,共6页Computer Science

基　　金：江苏省自然科学基金(BK2009535);江苏省高校自然科学基金(07KJB520022)资助

摘　　要："模糊、自治"的云计算环境中,服务品类繁多、质量参差不齐,用户主体难以进行可信赖的服务选择。在用户交互经验的基础上,结合现实人际交易模式,提出了一种基于协同推荐的综合信任量化评估模型。模型引入了时间衰减、权重两类动态因子,设计了多元化混合协同推荐算法来实现用户之间的有效协作,帮助用户正确选择可信云服务。为了验证模型的可行性,设计出一个分布式的原型系统,对模型的用户满意度和服务选择质量进行仿真实验。仿真结果表明,该模型能够更快地提高平均服务满意度,更有效地抑制恶意服务,而且随着交互次数的增长,服务选择质量也会不断提高。In the ＂fuzzy and autonomy＂ cloud computing environment,the service category is numerous and the quality is uneven,so it is difficult for the users to carry out a trusted service selection.On the basis of the user interaction experience and the real interpersonal interaction model,a comprehensive trust evaluation model based on collaborative recommendation was proposed.In the model,two kinds of dynamic factors,the time decay and the weights,are introduced and a multivariate hybrid collaborative recommendation algorithm is designed to achieve effective collaboration among users,which can help users select the trusted cloud services.In order to verify the feasibility of the model,a distributed prototype system was designed,and the simulation experiments were carried out on the user satisfaction and service quality of the model.Simulation results show that the model can faster increase the average service satisfaction and more effectively inhibit malicious service,and with the growth of the number of interactions,the service selection quality will also continue to improve.

关 键 词：信任评估 服务选择 信任模型 协同推荐 云计算 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]