Applying Biological Principles towards Self-Governance in Autonomic Networks

1. Applying Biological Principles towards Self-Governance in Autonomic Networks

2. 2 Application of Biological principles towards Autonomic Networks Autonomic networking focuses on Applying autonomic principles to govern network behavior e.g Self-organisation, Self-Management, Self-Configuration Our applications include: Self-Management of network resources at System level Self-Organisation of routes at device level Combined Biological and Social inspired techniques for Trust Management Bio-inspired interaction supporting Social Networking

3. 3 Combine different Biological principles Molecular Biology Principles cells used to self-organise Physiological systems used to self-manage Translate the biological mechanisms to policy based management system Develop policies for self-regulation Develop policies to evaluate equilibrium alterations (e.g. link failure) and stabilise equilibrium through Autonomic Element functionality Develop polices for cooperative self-organisation between Autonomic elements Overview of Bio-inspired Autonomic Management

4. 4 Biological life cycle Combined these biological mechanisms into a biological life cycle The lifecycle address three key self-governing mechanisms Self-organisation Self-management Self-learning Aim is to map this lifecycle to communication systems

5. 5 Mapping of Biological model to Policy Continuum System/Network level � Mapping from Blood Glucose Homeostasis for self-management of resources Device/Instance � Map from Chemotaxis, Reaction Diffusion, and Hormone signalling for self-organisation of traffic QoS supported paths

6. 6 Multi-layer Bio-inspired Management of Infrastructure Networks

7. 7 Blood Glucose Homeostasis � Self-Management of Resources Blood Glucose Homeostasis under varying intensity of the body is compared to the intensity of bandwidth usage in the network Glucose is available in other forms: Glycogen, Fat Glycogen compared to the demand profile and Fat is compared to new or fluctuating traffic Rules of converting from Glycogen to Fat (and vice versa) is compared to mechanism for maintaining revenue

8. 8 Route Management Hormone signalling is applied for hop count from destination to source Reaction Diffusion � Diffusion of neighbour load information and reaction is calculation of weight value in each node Chemotaxis is formation of this chemical gradient along the highest weight to create a path (for each source and destination)

9. 9 Bio-inspired Interaction Supporting Social Networking A crucial challenge in Pervasive computing is the ability to share and disseminate information for human interaction during social networking (e.g. conference meetings) Self-organisation mechanism that will automatically cluster groups in large conference hall Two Layer Context Management Layer Self-Organisation Layer

10. 10 Self-organisation layer uses Bio-inspired techniques Chemotaxis for formation of primary and secondary clusters Quorum Sensing used to mature the cluster as number of devices joining cluster grows Bio-inspired Interaction Supporting Social Networking

11. 11 Conclusion Autonomic Network Management can benefit from various biological models Many aspects of networking can rely on autonomic mechanism, and in turn rely on specific biological mechanisms In our work, we have outlined different biological mechanisms for different types of network applications The use of Bio-inspired analogies is one form of solution to solve problems Can lead to hybrid solution Provides research opportunity for the development of novel communications service applications to support the management of the emerging next generation internet.

12. 12 Published and accepted papers Sasitharan Balasubramaniam, Keara Barrett, John Strassner, William Donnelly, Sven van der Meer, Bio-inspired Policy Based Management (bioPBM) for Autonomic Communication Systems, Proceedings of 7th IEEE workshop on Policies for Distributed Systems and Networks (Policy 2006), Ontario, Canada, June 2006. Sasitharan Balasubramaniam, William Donnelly, Dmitri Botvich, Nazim Agoulmine, John Strassner, Towards Integrating Principles of Molecular Biology for Autonomic Network Management, Proceedings of 13th HP Open View University Association Workshop (HP-OVUA), Sophia Antipolis, France, May 2006. (short paper) Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Nazim Agoulmine, Applying Blood Glucose Homeostatic model towards Self-Management of IP QoS Provisioned Networks, Proceedings of 6th IEEE International Workshop on IP Operations and Management (IPOM 2006), LNCS, Dublin, Ireland, October 2006. Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, M�che�l ӒFoghl�, John Strassner, Application of Blood Glucose Homeostasis, Chemotaxis, and Hormone signaling towards Self-Governance and Self-Organisation for Autonomic Networks, Proceedings of First International Conference on Bio Inspired models of Networks, Information and Computing Systems (BIONETICS), Cavalese, Italy, December 2006. Nazim Agoulmine, Sasitharan Balasubramaniam, Dmitri Botvich, John Strassner, Elyes Lehtihet, William Donnelly, Challenges for Autonomic Network Management, Proceedings of 1st conference on Modelling Autonomic Communication Environment (MACE), Dublin, Ireland, October 2006. Publications (1):

13. 13 Sasitharan Balasubramaniam, Dmitri Botvich, Tao Gu, William Donnelly, Chemotaxis and Quorum Sensing Inspired Device Interaction supporting Social Networking, Proceedings of 65th IEEE Vehicular Technology Conference (VTC), Dublin 2007. Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, M�che�l � Foghl�, John Strassner, Bio-inspired Framework for Autonomic Communication Systems, in �Advances in biologically inspired information Systems: Models, Methods, and Tools�, Studies in Computational Intelligence, Springer Verlag. Editors Falko Dressler and Iacopo Carreras, 2007. Jimmy McGibney, Dmitri Botvich, Sasitharan Balasubramaniam, A Combined Biologically and Socially Inspired Approach to Mitigating Ad Hoc Network Threats, Proceedings of 66th IEEE Vehicular Technology Conference (VTC 2007 Fall), Baltimore, USA, September - October 2007. Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, John Strassner, A Biologically Inspired Policy Based Management System for Survivability in Autonomic Networks, Proceedings of 4th International Conference on Broadband Communications, Networks, and Systems (IEEE BROADNETS 2007), Raleigh, North Carolina, USA, September 2007. Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai Suganthan, William Donnelly, A Multi-layered solution for supporting ISP traffic demand using Genetic Algorithm, Proceedings of IEEE Congress on Evolutionary Computation, Singapore, September 2007 Publications (2):