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:2019,28(7):35-43
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基于滑动窗口的云服务可信评估模型优化
(北京工业大学 信息学部, 北京 100124)
Optimization of Cloud Service Trusted Evaluation Model Based on Sliding Window
(Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China)
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投稿时间:2019-01-17    修订日期:2019-02-03
中文摘要: 随着云服务的需求日益增强,云服务市场得到了快速的发展,但也产生了云服务的可信问题.国内外针对这个问题提出了各类的云服务可信评估模型,使用直接间接可信,用户评价、偏好相似度等因素参与云服务可信评估的流程中,然而现有研究中的云服务可信评估模型在流程中针对信任评估中并不能满足像是缓慢增加和快速下降等基本性质.本文引入云服务可信滑动窗口的方式加强整个云服务可信评估的流程,通过滑动窗口满足了缓慢增长等性质解决了问题,而后通过模拟实验验证了确实能够有效解决该问题.
Abstract:Along with the increasing demand for cloud services, the cloud service market has developed rapidly, but it also produced a trustworthy problem with cloud services. Various cloud service trust evaluation model have been proposed for this problem domestically and internationally. They Use direct trust and indirect trust, user evaluation similarity and preference similarity to participate in the process of cloud service trustworthy assessment. However, the cloud service trustworthy evaluation model in the existing research cannot meet the basic properties such as slow growth and rapid decline in the process of trust evaluation. This paper introduces the way of cloud service trustworthy sliding window to strengthen the process of trustworthy evaluation of the entire cloud service. The problem was solved by using a sliding window to satisfy the slow growth property, and then it was verified by simulation experiments that it can effectively solve the problem.
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基金项目:国家重点研发计划(2017YFF0211801)
引用文本:
李圳,于学军.基于滑动窗口的云服务可信评估模型优化.计算机系统应用,2019,28(7):35-43
LI Zhen,YU Xue-Jun.Optimization of Cloud Service Trusted Evaluation Model Based on Sliding Window.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):35-43

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