云环境下基于协同推荐的信任评估与服务选择
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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.
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.
引文
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[12]Billhardt H,Hermoso R,Ossowski S,et al.Trust-Based service provider selection in open environments[C]∥Proc.of the 22nd Annual ACM Symp.on Applied Computing.New York:ACM Press,2007:1375-1380
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[14]Wang Y,Vassileva J.Trust and reputation model in peer-to-peer networks[C]∥Proc.of the 3rd Int’l Conf.on Peer-to-Peer Computing.IEEE Computer Society Press,2003:150-157
[2]Kamvar S D,Schlsser M T,Carcia-Molinah.The EigenTrust Algorithm for Reputation Managementin P2PNetworks[C]∥Proceedings of the International Conference on WWW.Budapest,Hungary,2003
[3]Wang Jin-dong,Wei Bo,Zhang Heng-wei,et al.Research on Service Trust Evaluation Approach under Cloud Computing Environment[J].Computer Science,2014,41(12):38-42(in Chinese)王晋东,卫波,张恒巍,等.云计算环境下服务信任评估方法研究[J].计算机科学,2014,41(12):38-42
[4]Tian Chun-qi,Yang Bai-jian.R2 Trust,a Reputation and Risk Based Trust Management Framework For Large-Scale,Fully Decentralized Overlay Networks[J].Future Generation Computer Systems,2011,27(8):1135-1141
[5]Zhang Ming-qing,Fan Tao,Tang Jun,et al.Agent-based simulation of trust model in distributed system[J].Computer Engineering&Design,2014,35(9):3202-3206(in Chinese)张明清,范涛,唐俊,等.基于Agent的分布式系统信任模型仿真[J].计算机工程与设计,2014,35(9):3202-3206
[6]Tian Jun-feng,Cai Hong-yun.Actuality and Development of Trust Model[J].Journal of Hebei University(Natural Science Edition),2011,31(5):555-560(in Chinese)田俊峰,蔡红云.信任模型现状及进展[J].河北大学学报(自然科学版),2011,31(5):555-560
[7]Chang E,Thomson P,Dilion,et al.The Fuzzy and Dynamic Nature of Trust[M]∥Trust,Privacy,and Security in Digital Business(LNCS 3592).Berlin:Springer-Verlag,2005:161-174
[8]Li Xiao-yong,Gui Xiao-lin.Trust Quantitative Model with Multiple Decision Factors in Trusted Network[J].Chinese Journal of Computers,2009,32(3):405-416(in Chinese)李小勇,桂小林.可信网络中基于多维决策属性的信任量化模型[J].计算机学报,2009,32(3):405-416
[9]Vu L H,Hauswirth M,Aberer K.QoS-Based service selection and ranking with trust and reputation management[C]∥Meersman R,Tari Z,eds.Proc.of the OTM 2005(LNCS 3760).2005:466-483
[10]Ali A S,Ludwig S A,Rana O F.A cognitive trust-based approach for Web service discovery and selection[C]∥Proc.of the3rd European Conf.on Web Services.2005:38-49
[11]Day J,Deters R.Selecting the best Web service[C]∥Proc.of the 14th Annual IBM Centers for Advanced Studies Conf..2004:293-307
[12]Billhardt H,Hermoso R,Ossowski S,et al.Trust-Based service provider selection in open environments[C]∥Proc.of the 22nd Annual ACM Symp.on Applied Computing.New York:ACM Press,2007:1375-1380
[13]Page L,Brin S,Motwani R,et al.The PageRank citation ranking:Bringing order to the Web[R/OL].Stanford Digital Library Technologies Project,1998.http://ilpubs.stanford.edu:8090/422/
[14]Wang Y,Vassileva J.Trust and reputation model in peer-to-peer networks[C]∥Proc.of the 3rd Int’l Conf.on Peer-to-Peer Computing.IEEE Computer Society Press,2003:150-157