Scalability and Robustness of a Network Resource Allocation System Using Market-Based Agents
OA Location
Author(s)
Haque, N
Jennings, NR
Moreau, L
Type
Journal Article
Abstract
In this paper, we consider issues associated with scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources in a network that is partitioned into regions, each with a separate market server. We investigate the average call success rate and average message load per market server, as the number of markets are scaled up in a fixed size network. The same investigations are performed in the presence of single market failures. Finally, for both the failure and non-failure cases, a trade-off is found between their average call success rates and message load per server in order to find an optimum number of regions to deploy in the network.
Date Issued
2005
Citation
Netnomics, 2005, 7, pp.69-96
Start Page
69
End Page
96
Journal / Book Title
Netnomics
Volume
7
Identifier
http://eprints.soton.ac.uk/264475/
Subjects
0805 Distributed Computing
0806 Information Systems
1499 Other Economics
Notes
keywords: Agent, Communications Network, Market, Resource Allocation, Scalability, Robustness.
Article Number
2