Users are becoming more drawn towards relying on the Internet, where in the future the Internet will be a very crucial infrastructure. One contributing factor towards this is advance developments in various technologies, including networking equipment (e.g. routers and storage equipments), networking technologies (e.g. WiFi, WiMAX), end user devices (e.g. PDA, mobile phones, and laptops), and software development which has led to increase number of services and functionalities. However, these developments have led to tremendous strains and complexities in managing communication networks supporting the Internet.
The communication network management community have addressed this problem, through the notion of “autonomic network management”, which seeks self-governance (e.g. self-organisation, self-learning, self-management) capabilities in network devices. A number of different autonomic mechanisms, and one particular approach of addressing autonomic mechanisms is by borrowing mechanisms and processes that are exhibited by Biological systems. When investigating the characteristics needed by Autonomic Networks, a number of characteristics match to processes found in Biological systems.
The project is currently ongoing and began 1st October 2009 and is project to end 31st September 2013
However, there are a number of challenges in employing biologically inspired techniques for autonomic network management. These challenges include, (i) discovering the most appropriate biological mechanisms and applying this to network functionality problem (e.g. resource management or routing), which can be very time consuming, and (ii) integrating different biological techniques to support different self-* mechanisms (since each self-* mechanisms may fit to different biological process). Based on these challenges, the BioFINT project seeks to develop a Biologically inspired toolkit to help support and assist autonomic network researchers in developing solutions. Through a bio-inspired engine the toolkit will perform matching of network requirements to specific biological mechanisms, and will be applicable and open to different communication networks (e.g. wireless sensors or core network).
Refereed Academic Papers:
Frank Walsh, Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Synthetic Protocols for Nano Sensor Transmitting Platforms using Enzyme and DNA Based Computing, Nano Communication Networks, vol.1, June 2010, pp. 50-62.
Sasitharan Balasubramaniam, Dmitri Botvich, Julien Mineraud, William Donnelly, Nazim Agoulmine, BiRSM: Bio-inspired Resource Self-Management for All IP Networks, IEEE Network, May/June 2010.
Raymond Carroll, Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Application of Genetic Algorithm to Maximise Clean Energy Usage in Data Centres, in Proceedings of 5th ICST Conference on Bio-inspired Models of Networks, Information, and Computing Sytems (BIONETICS), Boston, USA, December 2010.
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Chamil Kulatunga, PaCRAm: Path aware Content Replication Approach with Multicast for IPTV Networks, in Proceedings of IEEE Globecom 2010, Miami Florida, USA, December 2010.
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai Suganthan, Achieving High Robustness and Performance in Performing QoS-aware Route Planning for IPTV networks, in Proceedings of IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, July 2010.
Stepan Ivanov, Dmitri Botvich, Sasitharan Balasubramaniam, Gradient Based Routing Support for Cooperative Multi-Channel MAC in Ad Hoc Wireless Networks, in Proceedings of 24th IEEE International Conference on Advanced Information Networking and Applications (AINA 2010), Perth, Australia, April 2010.
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, PaCRA: A Path-aware Content Replication Approach to Support QoS Guaranteed Video on Demand Service in Metropolitan IPTV Networks, in Proceedings of 12th IEEE/IFIP Network Operations & Management Symposium (NOMS 2010), Osaka, Japan, April 2010.
Sasitharan Balasubramaniam (email@example.com).
Tel: +353 51 302912
Fax: + 353 51 302901