The University of Southampton
University of Southampton Institutional Repository

Resource allocation in communication networks using market-based agents

Resource allocation in communication networks using market-based agents
Resource allocation in communication networks using market-based agents
This work describes a system that allocates end-to-end bandwidth, in a switched meshed communications network. The solution makes use of market-based software agents that compete in a number of decentralised marketplaces to buy and sell bandwidth resources. Agents perform a distributed depth first search with decentralised markets in order to allocate routes for calls. The approach relies on a resource reservation and commit mechanism in the network. Initial results show that under a light network load, the system sets up a high percentage of calls which is comparable to the optimum value and that, under all network loads, it performs significantly better than a random strategy.
agents, markets, resource allocation, telecommunication networks
1-85233-907-1
187-200
Haque, Nadim
e64efd61-9b59-412a-825e-cdede3a1e6c3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Bramer, Max
1dea0233-339a-40ea-a77d-b007ed486b0f
Coenen, Frans
15a0125f-2690-404f-8fcc-32f1f0121ac0
Allen, Tony
35e7bfb8-000a-496c-85a6-104bc167b4c0
Haque, Nadim
e64efd61-9b59-412a-825e-cdede3a1e6c3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Bramer, Max
1dea0233-339a-40ea-a77d-b007ed486b0f
Coenen, Frans
15a0125f-2690-404f-8fcc-32f1f0121ac0
Allen, Tony
35e7bfb8-000a-496c-85a6-104bc167b4c0

Haque, Nadim, Jennings, N. R. and Moreau, Luc (2004) Resource allocation in communication networks using market-based agents. Bramer, Max, Coenen, Frans and Allen, Tony (eds.) Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Queens' College, University of Cambridge, Cambridge, United Kingdom. 14 - 15 Dec 2004. pp. 187-200 .

Record type: Conference or Workshop Item (Paper)

Abstract

This work describes a system that allocates end-to-end bandwidth, in a switched meshed communications network. The solution makes use of market-based software agents that compete in a number of decentralised marketplaces to buy and sell bandwidth resources. Agents perform a distributed depth first search with decentralised markets in order to allocate routes for calls. The approach relies on a resource reservation and commit mechanism in the network. Initial results show that under a light network load, the system sets up a high percentage of calls which is comparable to the optimum value and that, under all network loads, it performs significantly better than a random strategy.

Text
SGAI2004Haque.pdf - Accepted Manuscript
Download (184kB)

More information

Published date: 2004
Additional Information: Event Dates: 14th - 15th December 2004
Venue - Dates: Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Queens' College, University of Cambridge, Cambridge, United Kingdom, 2004-12-14 - 2004-12-15
Keywords: agents, markets, resource allocation, telecommunication networks
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 260237
URI: http://eprints.soton.ac.uk/id/eprint/260237
ISBN: 1-85233-907-1
PURE UUID: ff885085-ad86-4da4-8c6a-26c67e826769
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 06 Jan 2005
Last modified: 14 Mar 2024 06:35

Export record

Contributors

Author: Nadim Haque
Author: N. R. Jennings
Author: Luc Moreau ORCID iD
Editor: Max Bramer
Editor: Frans Coenen
Editor: Tony Allen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×