School of Computing

Adaptive management of an active services network

I W Marshall and C M Roadknight

BT Technology, 18(4):182-196, October 2000 (special issue on Biologically inspired computing).

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.

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Bibtex Record

@article{2211,
author = {I W Marshall and C M Roadknight},
title = {{Adaptive management of an active services network}},
month = {October},
year = {2000},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {(special issue on Biologically inspired computing)},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2000/2211},
    publication_type = {article},
    submission_id = {26619_1117205097},
    other_year = {2000},
    journal = {BT Technology },
    volume = {18},
    number = {4},
}

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