Marshall, I.W. and Roadknight, C.M (2000) Adaptive management of an active services network. BT Technology, 18 (4). pp. 78-84. ISSN 1358-3948 .
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.
|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:||06 Sep 2011 04:08|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/21945 (The current URI for this page, for reference purposes)|
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