A new economic generalized particle model for flow control

被引：0

作者：

Feng, Xiang ^{[1
]}

Lau, Francis C. M. ^{[2
]}

机构：

[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China

[2] Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China

来源：

COMPUTER NETWORKS | 2010年 / 54卷 / 03期

基金：

美国国家科学基金会;

关键词：

Intelligent bandwidth allocation; Economic generalized particle model (EGPM); Price and demands dynamic modulation; Distributed and parallel algorithm; Dynamical process; Computer networks; BANDWIDTH ALLOCATION; RESOURCE-ALLOCATION; OPTIMIZATION; PERFORMANCE; TCP;

D O I：

10.1016/j.comnet.2009.09.012

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：506 / 524

页数：19

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