中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
fuzzybasednetworkbandwidthdesignunderdemanduncertainty

文献类型:期刊论文

作者Lean YU1; Wuyi YUE2; Shouyang WANG1
刊名journalofsystemsscienceandcomplexity
出版日期2010
卷号23期号:1页码:61
ISSN号1009-6124
英文摘要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 offline 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.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/47312]  
专题系统科学研究所
作者单位1.中国科学院数学与系统科学研究院
2.Department of Intelligence and Informatics, Konan University
推荐引用方式
GB/T 7714
Lean YU,Wuyi YUE,Shouyang WANG. fuzzybasednetworkbandwidthdesignunderdemanduncertainty[J]. journalofsystemsscienceandcomplexity,2010,23(1):61.
APA Lean YU,Wuyi YUE,&Shouyang WANG.(2010).fuzzybasednetworkbandwidthdesignunderdemanduncertainty.journalofsystemsscienceandcomplexity,23(1),61.
MLA Lean YU,et al."fuzzybasednetworkbandwidthdesignunderdemanduncertainty".journalofsystemsscienceandcomplexity 23.1(2010):61.

入库方式: OAI收割

来源:数学与系统科学研究院

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