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Adaptive Management of an Active Service Network.

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Adaptive Management of an Active Service Network. / Marshall, I. W.; Roadknight, C.
In: BT Technology Journal, Vol. 18, No. 4, 10.2000, p. 78-84.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Marshall, IW & Roadknight, C 2000, 'Adaptive Management of an Active Service Network.', BT Technology Journal, vol. 18, no. 4, pp. 78-84. https://doi.org/10.1023/A:1026758709480

APA

Marshall, I. W., & Roadknight, C. (2000). Adaptive Management of an Active Service Network. BT Technology Journal, 18(4), 78-84. https://doi.org/10.1023/A:1026758709480

Vancouver

Marshall IW, Roadknight C. Adaptive Management of an Active Service Network. BT Technology Journal. 2000 Oct;18(4):78-84. doi: 10.1023/A:1026758709480

Author

Marshall, I. W. ; Roadknight, C. / Adaptive Management of an Active Service Network. In: BT Technology Journal. 2000 ; Vol. 18, No. 4. pp. 78-84.

Bibtex

@article{007759ecdd164a708342a00083c15686,
title = "Adaptive Management of an Active Service Network.",
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 varying rapidly.",
author = "Marshall, {I. W.} and C. Roadknight",
note = "The original publication is available at www.springerlink.com.",
year = "2000",
month = oct,
doi = "10.1023/A:1026758709480",
language = "English",
volume = "18",
pages = "78--84",
journal = "BT Technology Journal",
issn = "1573-1995",
publisher = "Kluwer Academic Publishers",
number = "4",

}

RIS

TY - JOUR

T1 - Adaptive Management of an Active Service Network.

AU - Marshall, I. W.

AU - Roadknight, C.

N1 - The original publication is available at www.springerlink.com.

PY - 2000/10

Y1 - 2000/10

N2 - 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 varying rapidly.

AB - 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 varying rapidly.

U2 - 10.1023/A:1026758709480

DO - 10.1023/A:1026758709480

M3 - Journal article

VL - 18

SP - 78

EP - 84

JO - BT Technology Journal

JF - BT Technology Journal

SN - 1573-1995

IS - 4

ER -