New approach to eliminate structural redundancy in case resource pools using α mutual information

查看全文 作　　者：Man [1,2]Xu;Haiyan [2]Yu;Jiang [2]Shen

机构地区：[1]Department of Industrial Engineering, Nankai University;[2]College of Management and Economics, Tianjin University

出　　处：《Journal of Systems Engineering and Electronics》索引2013年第24卷第4期,共9页

基　　金：supported by the National Natural Science Foundation of China (71171143;71201087);the Tianjin Municipal Research Program of Application Foundation and Advanced Technology of China (10JCY-BJC07300);the Science and Technology Program of FOXCONN Group (120024001156) 摘　　要：Structural redundancy elimination in case resource pools (CRP) is critical for avoiding performance bottlenecks and maintaining robust decision capabilities in cloud computing services. For these purposes, this paper proposes a novel approach to ensure redundancy elimination of a reasoning system in CRP. By using α entropy and mutual information, functional measures to eliminate redundancy of a system are developed with respect to a set of outputs. These measures help to distinguish both the optimal feature and the relations among the nodes in reasoning networks from the redundant ones with the elimination criterion. Based on the optimal feature and its harmonic weight, a model for knowledge reasoning in CRP (CRPKR) is built to complete the task of query matching, and the missing values are estimated with Bayesian networks. Moreover, the robustness of decisions is verified through parameter analyses. This approach is validated by the simulation with benchmark data sets using cloud SQL. Compared with several state-of-the-art techniques, the results show that the proposed approach has a good performance and boosts the robustness of decisions. 关键词：互信息资源结构推理系统性能瓶颈决策能力模拟验证贝叶斯网络

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New approach to eliminate structural redundancy in case resource pools using α mutual information

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