文献类型：期刊文献

英文题名：A nature-inspired algorithm for intelligent optimization of network resources

作者：Feng, Xiang[1]; Lau, Francis C.M.[2]; Shuai, Dianxun[1]

机构：[1] Department of Computer Science, East China University of Science and Technology, Shanghai, 200237, China; [2] Department of Computer Science, University of Hong Kong, Hong Kong, Hong Kong

年份：2008

起止页码：284

外文期刊名：2008 11th IEEE Singapore International Conference on Communication Systems, ICCS 2008

收录：EI(收录号：20091411995892)

语种：英文

外文关键词：Bandwidth - Frequency allocation - Costs - Computation theory

摘要：In complex computer networks having the characteristic of social dynamics, bandwidth allocation is a fundamental problem where bandwidth has to be reserved for connections in advance. This paper presents the theory and approach of the economic generalized particle model (EGPM) for intelligent allocation of network bandwidth. This approach transforms the complicated network bandwidth allocation problem into efficient, parallel allocation of network bandwidth. This approach is an important extension and further development of the generalized particle model (GPM) [1]. EGPM emphasizes the use of pricing as the network control mechanism. For the pricing, it makes use of the tatonnement process in economics. EGPM arises from GPM but can overcome some of GPM's deficiencies for the network bandwidth allocation problem. ? 2008 IEEE.