Biologically inspired self-governance and self-organisation for autonomic networks

Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Mícheál Ó Foghlú, John Strassner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

Abstract

The current complexity of network management has helped drive the need for autonomic capabilities. The vision of autonomic network management provides the ability for network devices to cooperatively self-organise and self-govern in the support of high level business goals. These principles are inspired by biological systems. In this paper, we propose key selforganisation and self-governance techniques that are drawn from principles of molecular biology including (i) blood glucose homeostasis, (ii) reaction diffusion like principles, (iii) micro-organism mobility using chemotaxis techniques, and (iv) hormone signaling. Preliminary simulation results have also been presented to validate our model.

Original languageEnglish
Title of host publication2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS
DOIs
Publication statusPublished - 2006
Event2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS - Madonna di Campiglio, Italy
Duration: 11 Dec 200613 Dec 2006

Publication series

Name2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS

Conference

Conference2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS
Country/TerritoryItaly
CityMadonna di Campiglio
Period11/12/200613/12/2006

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