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Autonomic resource management through self-organising agent communities

Autonomic resource management through self-organising agent communities
Autonomic resource management through self-organising agent communities
In this paper, we analyse how autonomic resource management can be achieved within a system that lacks centralized information about current system demand and the state of system elements. Rather, regulation of service provision is achieved through local co-adaptation between two groups of system elements, one tasked to autonomously decide which services to offer and the other to consume them in a manner that minimises resource contention. We explore how varying the amount of information stored by agents influences system performance, and demonstrate that when the information capacity of individual agents is limited they self-organise into communities that facilitate the local exchange of relevant information. Such systems are stable enough to allocate resources efficiently and to minimise unnecessary reconfiguration, but also adaptive enough to reconfigure when resource demand changes.
Jacyno, Mariusz
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Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Payne, Terry R.
09574f42-3cbc-43d3-86c2-2f96eb6319a0
Geard, Nicholas
e9933f78-10b8-4454-8c8d-c2c75e040346
Luck, Michael
94f6044f-6353-4730-842a-0334318e6123
Jacyno, Mariusz
9a75bc99-5536-47b4-9342-741e0bffcef9
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Payne, Terry R.
09574f42-3cbc-43d3-86c2-2f96eb6319a0
Geard, Nicholas
e9933f78-10b8-4454-8c8d-c2c75e040346
Luck, Michael
94f6044f-6353-4730-842a-0334318e6123

Jacyno, Mariusz, Bullock, Seth, Payne, Terry R., Geard, Nicholas and Luck, Michael (2008) Autonomic resource management through self-organising agent communities. Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Italy. 20 - 24 Oct 2008.

Record type: Conference or Workshop Item (Poster)

Abstract

In this paper, we analyse how autonomic resource management can be achieved within a system that lacks centralized information about current system demand and the state of system elements. Rather, regulation of service provision is achieved through local co-adaptation between two groups of system elements, one tasked to autonomously decide which services to offer and the other to consume them in a manner that minimises resource contention. We explore how varying the amount of information stored by agents influences system performance, and demonstrate that when the information capacity of individual agents is limited they self-organise into communities that facilitate the local exchange of relevant information. Such systems are stable enough to allocate resources efficiently and to minimise unnecessary reconfiguration, but also adaptive enough to reconfigure when resource demand changes.

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More information

Published date: 22 October 2008
Additional Information: Event Dates: October 20-24, 2008
Venue - Dates: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Italy, 2008-10-20 - 2008-10-24
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 266864
URI: http://eprints.soton.ac.uk/id/eprint/266864
PURE UUID: c37f47b9-edd0-4a23-a09e-5100aaf22f7e

Catalogue record

Date deposited: 06 Nov 2008 13:06
Last modified: 19 Jul 2019 22:20

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