Journals Proceedings

Abstract

Autonomic networking is a concept to create self-managing networks to overcome the rapidly growing complexity of the networking and to enable further growth. Self healing is an important property of autonomic systems and for this purpose the network needs to be self-aware and self-managing in real time. Thus the main challenge lies in implementing the real time learning in the network and real time as well as synchronized communication among the network devices. This paper provides an architectural design of an external autonomic control system for implementing reconfigurable autonomic network using recurrent neural network for adaptive learning and times tamped messages for synchronization.