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The role of complex systems in the management of pervasive computing.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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The role of complex systems in the management of pervasive computing. / Marshall, Ian W.; Roadknight, Chris; Sacks, Lionel.
2002. Paper presented at Proceedings ICCS, Nashua.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Marshall, IW, Roadknight, C & Sacks, L 2002, 'The role of complex systems in the management of pervasive computing.', Paper presented at Proceedings ICCS, Nashua, 1/01/02.

APA

Marshall, I. W., Roadknight, C., & Sacks, L. (2002). The role of complex systems in the management of pervasive computing.. Paper presented at Proceedings ICCS, Nashua.

Vancouver

Marshall IW, Roadknight C, Sacks L. The role of complex systems in the management of pervasive computing.. 2002. Paper presented at Proceedings ICCS, Nashua.

Author

Marshall, Ian W. ; Roadknight, Chris ; Sacks, Lionel. / The role of complex systems in the management of pervasive computing. Paper presented at Proceedings ICCS, Nashua.

Bibtex

@conference{b4a2600b01d040b6af619ae7e1b31101,
title = "The role of complex systems in the management of pervasive computing.",
abstract = "Network complexity will increase dramatically over the next 5 years as will the amount of devices inhabiting these networks. Ad-hoc and active paradigms will make the already onerous task of network management increasingly problematic. An approach to managing such networks based on bacterial colony behaviour is discussed, offering innate abilities for essential tasks such as software proliferation, load balancing and differing but distinct qualities of service. Robustness to fractal request streams is also demonstrated using real world requests as a source of simulated network load. The {\textquoteleft}hands off{\textquoteright} element of the adaptive algorithm is a major asset for any configuration and optimisation task. This biologically inspired adaptive management solution could be the ideal approach to managing the behaviour of complex data networks of the future.",
author = "Marshall, {Ian W.} and Chris Roadknight and Lionel Sacks",
year = "2002",
language = "English",
note = "Proceedings ICCS ; Conference date: 01-01-2002",

}

RIS

TY - CONF

T1 - The role of complex systems in the management of pervasive computing.

AU - Marshall, Ian W.

AU - Roadknight, Chris

AU - Sacks, Lionel

PY - 2002

Y1 - 2002

N2 - Network complexity will increase dramatically over the next 5 years as will the amount of devices inhabiting these networks. Ad-hoc and active paradigms will make the already onerous task of network management increasingly problematic. An approach to managing such networks based on bacterial colony behaviour is discussed, offering innate abilities for essential tasks such as software proliferation, load balancing and differing but distinct qualities of service. Robustness to fractal request streams is also demonstrated using real world requests as a source of simulated network load. The ‘hands off’ element of the adaptive algorithm is a major asset for any configuration and optimisation task. This biologically inspired adaptive management solution could be the ideal approach to managing the behaviour of complex data networks of the future.

AB - Network complexity will increase dramatically over the next 5 years as will the amount of devices inhabiting these networks. Ad-hoc and active paradigms will make the already onerous task of network management increasingly problematic. An approach to managing such networks based on bacterial colony behaviour is discussed, offering innate abilities for essential tasks such as software proliferation, load balancing and differing but distinct qualities of service. Robustness to fractal request streams is also demonstrated using real world requests as a source of simulated network load. The ‘hands off’ element of the adaptive algorithm is a major asset for any configuration and optimisation task. This biologically inspired adaptive management solution could be the ideal approach to managing the behaviour of complex data networks of the future.

M3 - Conference paper

T2 - Proceedings ICCS

Y2 - 1 January 2002

ER -