FUZZY-BASED NETWORK BANDWIDTH DESIGN UNDER DEMAND UNCERTAINTY

作     者：Lean YU Wuyi YUE Shouyang WANG Lean YU Institute of Systems Science,MADIS,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China. Wuyi YUE Department of Intelligence and Informatics,Konan University,Kobe 658-8501,Japan. Shouyang WANG Institute of Systems Science,MADIS,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China

作者机构：Institute of Systems Science MADIS Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijiny 100190 China Department of Intelligence and Informatics Konan University Kobe 658-8501 Japan. Institute of Systems Science MADIS Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China. 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2010年第23卷第1期

页      面：61-70页

核心收录：

学科分类：12[管理学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081002[工学-信号与信息处理] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：partially supported by the grants from the National Natural Science Foundation of China the Knowledge Innovation Program of the Chinese Academy of Sciences the GRANT-IN-AID FOR SCIEN-TIFIC RESEARCH (No. 19500070) MEXT.ORC (2004-2008), Japan 

主　　题：Communication networks demand uncertainty fuzzy set theory network bandwidth design network optimization. 

摘      要：In communication networks （CNs）, the uncertainty is caused by the dynamic nature of the traffic demands. Therefore there is a need to incorporate the uncertainty into the network bandwidth capacity design. For this purpose, this paper developed a fuzzy methodology for network bandwidth design under demand uncertainty. This methodology is usually used for offiine traffic engineering optimization, which takes a centralized view of bandwidth design, resource utilization, and performance evaluation. In this proposed methodology, uncertain traffic demands are first handled into a fuzzy number via a fuzzification method. Then a fuzzy optimization model for the network bandwidth allocation problem is formulated with the consideration of the trade-off between resource utilization and network performance. Accordingly, the optimal network bandwidth capacity can be obtained by maximizing network revenue in CNs. Finally, an illustrative numerical example is presented for the purpose of verification.