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

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

1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

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

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1145/1315843.1315880,
    author={Sasitharan  Balasubramaniam and Dmitri Botvich and William  Donnelly and M\^{\i}che\^{a}l  \^{O} Foghl\^{u} and John  Strassner},
    title={Biologically inspired self-governance and self-organisation for autonomic networks},
    proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
    publisher={ACM},
    proceedings_a={BIONETICS},
    year={2006},
    month={12},
    keywords={},
    doi={10.1145/1315843.1315880}
}

Sasitharan Balasubramaniam
Dmitri Botvich
William Donnelly
Mícheál Ó Foghlú
John Strassner
Year: 2006
Biologically inspired self-governance and self-organisation for autonomic networks
BIONETICS
ACM
DOI: 10.1145/1315843.1315880

Sasitharan Balasubramaniam¹^,*, Dmitri Botvich¹^,*, William Donnelly¹^,*, Mícheál Ó Foghlú¹^,*, John Strassner²^,*

1: Telecommunication Software and Systems Group, Waterford Institute of Technology, Carriganore, Waterford, Ireland
2: Motorola Labs, Schaumburg, IL, USA

*Contact email: sasib@tssg.org, dbotvich@tssg.org, wdonnelly@tssg.org, mofoghlu@tssg.org, john.strassner@motorola.com

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 self-organisation and self-governance techniques that are drawn from principles of molecular biology including (i) blood glucose homeostasis, (ii) reaction diffusion like principles, (iii) microorganism mobility using chemotaxis techniques, and (iv) hormone signaling. Preliminary simulation results have also been presented to validate our model.

Published: 2006-12-13
Publisher: ACM

: http://dx.doi.org/10.1145/1315843.1315880