Scalability and Robustness of a Network Resource Allocation System Using Market-Based Agents
Haque, N, Jennings, N. R. and Moreau, L (2005) Scalability and Robustness of a Network Resource Allocation System Using Market-Based Agents. Netnomics, 7, (2), 69-96.
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.
|Keywords:||Agent, Communications Network, Market, Resource Allocation, Scalability, Robustness.|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||06 Sep 2007|
|Last Modified:||02 Mar 2012 13:21|
|Contributors:||Haque, N (Author)
Jennings, N. R. (Author)
Moreau, L (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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