文献类型：期刊文献

英文题名：Intelligent allocation of network bandwidth: A comparison of two generalized particle models

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：279

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

收录：EI(收录号：20091411995891)

语种：英文

外文关键词：Bandwidth - Artificial intelligence - Evolutionary algorithms - Frequency allocation

摘要：There are two types of generalized particle models (GPM) that can be used to allocate network bandwidth efficiently. One is the "original" generalized particle models (OGPM) [1] with which the allocation is not changed until the price reaches equilibrium. The other one is the economic generalized particle model (EGPM) [2], where the allocation is changed dynamically even when the allocation is being calculated. EGPM therefore suits bandwidth allocation in dynamic environments. The two models can be classified as evolutionary intelligent swarm optimization approaches. The EGPM is an important extension and further development of the OGPM, which comprises two major components: (1) dynamic allocation of network bandwidth based on GPM; and (2) dynamic modulation of price and demands of network bandwidth. The two components combined can be readily implemented by a distributed algorithm. In this paper, by simulations, we compare EGPM and OGPM, and then with the ant colony optimization approach, the utility function algorithm, and the max-min fairness algorithm. ? 2008 IEEE.