Autonomous Management for Pervasive Computing

Marshall, I.W. and Sacks, L. (2002) Autonomous Management for Pervasive Computing. In: Proceedings ICCS, 2002, Nashua. (Full text available)

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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 ‘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.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59
Last Modified: 06 Sep 2011 01:12
Resource URI: http://kar.kent.ac.uk/id/eprint/13649 (The current URI for this page, for reference purposes)
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