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AORTA: Autonomic network control and management system

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2 Author(s)
Ali Tizghadam ; School of Electrical and Computer Engineering, University of Toronto, Canada ; Alberto Leon-Garcia

This paper reports on an autonomic network management architecture based on the concept of "evolution". A management methodology is developed which is relying on the ideas from evolutionary science, virtual networks, and autonomic networking. We argue that any communication network could be modeled as an evolved topology based on survivability and performance requirements. The evolution is in the direction of decreasing the chance of congestion and increasing the network robustness. We describe the architecture of our network management system in detail and tie it to the theory of evolution. We evaluate the "betweenness centrality" of network topologies and build our robust routing algorithm to manage the transport of packets in the network based on it. This routing scheme is at the heart of out proposed network management system.

Published in:

INFOCOM Workshops 2008, IEEE

Date of Conference:

13-18 April 2008