Adaptive management of an active services network

Marshall, Ian W. and Roadknight, Chris (2000) Adaptive management of an active services network. BT Technology, 18 (4). pp. 78-84. ISSN 1358-3948 . (Full text available)

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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: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Mark Wheadon
Date Deposited: 13 Sep 2009 18:13
Last Modified: 23 Jun 2014 11:27
Resource URI: http://kar.kent.ac.uk/id/eprint/21945 (The current URI for this page, for reference purposes)
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