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Global Order From a Minimal Local Resource Allocation Strategy

Global Order From a Minimal Local Resource Allocation Strategy
Global Order From a Minimal Local Resource Allocation Strategy
In this paper we explore the relationship between local and global behaviour in a simple model of utility computing infrastructure as the system heterogeneity, load and reliability are varied. To do this, we implement minimally complex agent strategies for which we can identify the fundamental generic feedback underlying system behaviour. Such feedback must be balanced by any utility computing infrastructure if decentralised control is to become an effective technique for preserving stable functionality.
decentralised control, multi-agent systems, resource allocation, self-organisation, load-balancing
Jacyno, M.
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Bullock, S.
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Payne, T.
638eb3e7-7628-4427-9eb9-4085684cc1df
Luck, M.
da93d46d-96db-4ed6-b54a-bfa53b406af3
Jacyno, M.
275bccda-933b-4ba0-8b12-d1541d6a87e3
Bullock, S.
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Payne, T.
638eb3e7-7628-4427-9eb9-4085684cc1df
Luck, M.
da93d46d-96db-4ed6-b54a-bfa53b406af3

Jacyno, M., Bullock, S., Payne, T. and Luck, M. (2008) Global Order From a Minimal Local Resource Allocation Strategy. Communications of SIWN, Glasgow, United Kingdom.

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we explore the relationship between local and global behaviour in a simple model of utility computing infrastructure as the system heterogeneity, load and reliability are varied. To do this, we implement minimally complex agent strategies for which we can identify the fundamental generic feedback underlying system behaviour. Such feedback must be balanced by any utility computing infrastructure if decentralised control is to become an effective technique for preserving stable functionality.

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More information

Published date: 24 June 2008
Additional Information: Event Dates: 2008
Venue - Dates: Communications of SIWN, Glasgow, United Kingdom, 2008-01-01
Keywords: decentralised control, multi-agent systems, resource allocation, self-organisation, load-balancing
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 266130
URI: http://eprints.soton.ac.uk/id/eprint/266130
PURE UUID: 33bc2e0a-2e90-49f6-9a6b-4e6b14bfb6d3

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Date deposited: 14 Jul 2008 12:21
Last modified: 14 Mar 2024 08:20

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Contributors

Author: M. Jacyno
Author: S. Bullock
Author: T. Payne
Author: M. Luck

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