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

Balasubramaniam, Sasitharan and Botvich, Dmitri and Donnelly, William and Foghlú, Mícheál Ó and Strassner, John (2006) Biologically inspired self-governance and self-organisation for autonomic networks. In: 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS :. 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS . UNSPECIFIED, ITA. ISBN 1424404630

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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.

Item Type:	Book Section
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1705
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:14
Last Modified:	21 Jun 2023 18:37
URI:	http://repository-testing.wit.ie/id/eprint/4799

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