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Adaptive management of an active services network

Marshall, Ian W., Roadknight, Chris (2000) Adaptive management of an active services network. BT Technology, 18 (4). pp. 78-84. ISSN 1358-3948. (KAR id:21945)

Abstract

The benefits of active services and networks cannot be realised unless the associated increase in system complexity can be efficiently managed. An adaptive management solution is required. Simulation results show that a distributed genetic algorithm, inspired by observations of bacterial communities, can offer many key management functions. The algorithm is fast and efficient, even when the demand for network services is rapidly varying.

Item Type: Article
Additional information: (special issue on Biologically inspired computing)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 13 Sep 2009 18:13 UTC
Last Modified: 16 Nov 2021 10:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21945 (The current URI for this page, for reference purposes)

University of Kent Author Information

Marshall, Ian W..

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