Paper Info
Title
A new economic generalized particle model for flow control
Abstract
The problem of bandwidth allocation in computer networks can be likened to the supply-demand problem in economics. This paper presents the economic generalized particle model (EGPM) approach to intelligent allocation of network bandwidth. EGPM is a significant extension and further development of the generalized particle model (GPM) [1]. The approach 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 resulting algorithm can be easily implemented in a distributed fashion. Pricing being the network control mechanism in EGPM is carried out by a tatonnement process. We discuss the EGPM's convergence and show that the approach is efficient in achieving the global Pareto optimum. Via simulations, we test the approach, analyze its parameters and compare it with GPM and a genetic-algorithm-based solution.
Year
DOI
Venue
2010
10.1016/j.comnet.2009.09.012
Computer Networks
Keywords
DocType
Volume
Intelligent bandwidth allocation,Economic generalized particle model (EGPM),Price and demands dynamic modulation,Distributed and parallel algorithm,Dynamical process,Computer networks
Journal
54
Issue
ISSN
Citations 
3
Computer Networks
0
PageRank 
References 
Authors
0.34
17
2
Name
Order
Citations
PageRank
Xiang Feng1369.16
Francis C. M. Lau21942181.31