Intelligent Allocation of Network Bandwidth: A Comparison of Two Generalized Particle Models
There are two types of generalized particle models (GPM) that can be used to allocate network bandwidth ef.ciently. 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 classi.ed 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.
Intelligent bandwidth allocation evolutionary swarm optimization generalized particle models (GPM) economic generalized particle model (EGPM) distributed and parallelalgorithm dynamical process.
Xiang Feng Francis C.M.Lau Dianxun Shuai
Department of Computer Science East China University of Science and Technology Shanghai,China 200237 Department of Computer Science The University of Hong Kong,Hong Kong
国际会议
广州
英文
2008-11-19（万方平台首次上网日期，不代表论文的发表时间）