A Nature-Inspired Algorithm for Intelligent Optimization of Network Resources
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 ef.cient, 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 GPMs de.ciencies for the network bandwidth allocation problem.
Intelligent bandwidth allocation economic generalized particle model (EGPM) price and demands dynamic modulation distributed and parallel algorithm 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）