A biologically inspired policy based management system for survivability in autonomic networks

The vision of Autonomic Network Management seeks self-governance (e.g. self-organisation, self-management) capabilities amongst network devices and system to minimise complexities found in current network management. Policy based management system provides a mechanism to counter these complexities, where the system provides a consistent model for decision making process. In this paper we propose bio-inspired mechanisms to support network survivability that is integrated with policy based management. Our solution is based on adaptation and integration of various biological principles such as Blood Glucose Homeostasis, Chemotaxis, Reaction-Diffusion and Hormone Signaling. The bio-inspired principles support a high degree of robustness, which is a key feature towards adapting in fluctuating network environment. Simulations results have also been presented to illustrate our proposed solution.