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Autonomous Management for Pervasive Computing

Marshall, Ian W., Sacks, Lionel (2002) Autonomous Management for Pervasive Computing. In: Proceedings ICCS. . , Nashua (KAR id:13649)


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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59 UTC
Last Modified: 16 Nov 2021 09:51 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Marshall, Ian W..

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