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)
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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 |
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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: | 05 Nov 2024 10:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/21945 (The current URI for this page, for reference purposes) |
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