Biologically Inspired Self-Governance and Self-Organisation for Autonomic Networks

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.

[1]  Wei-Min Shen,et al.  Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots , 2002, IEEE Trans. Robotics Autom..

[2]  Falko Dressler,et al.  Molecular Processes as a Basis for Autonomous Networking , 2004 .

[3]  Tatsuya Suda,et al.  Self-organizing network services with evolutionary adaptation , 2005, IEEE Transactions on Neural Networks.

[4]  Nazim Agoulmine,et al.  FOCALE: A Novel Autonomic Networking Architecture , 2006 .

[5]  Christian Bettstetter,et al.  Self-organization in communication networks: principles and design paradigms , 2005, IEEE Communications Magazine.

[6]  Chen-Khong Tham,et al.  Self-Optimizing Architecture for QoS Provisioning in Differentiated Services , 2005, Second International Conference on Autonomic Computing (ICAC'05).

[7]  Falko Dressler,et al.  Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms , 2005, Informatica.

[8]  Nazim Agoulmine,et al.  Applying Blood Glucose Homeostatic Model Towards Self-management of IP QoS Provisioned Networks , 2006, IPOM.

[9]  David Sinreich,et al.  An architectural blueprint for autonomic computing , 2006 .

[10]  Tatsuya Suda,et al.  A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications , 2005, IEEE Journal on Selected Areas in Communications.

[11]  Kenji Leibnitz,et al.  Biologically inspired self-adaptive multi-path routing in overlay networks , 2006, Commun. ACM.

[12]  Falko Dressler,et al.  Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms – An Overview , 2005 .

[13]  John Strassner.  Autonomic networking: Theory and practice , 2008, NOMS.

[14]  Nazim Agoulmine,et al.  Towards Integrating Principles of Molecular Biology for Autonomic Network Management , 2006 .

[15]  Torsten Eymann,et al.  Self-organizing resource allocation for autonomic network , 2003, 14th International Workshop on Database and Expert Systems Applications, 2003. Proceedings..

[16]  A. Turing.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[17]  Stefania Bandini,et al.  Mechanisms to support situated agent systems , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.