Self-Management of virtual paths in dynamic networks

Authors:
Poul E. Heegaard;Otto Wittner;Bjarne E. Helvik
Affiliations:
Telenor R&D and Department of Telematics, Norwegian University of Science and Technology, Norway;Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, Trondheim, Norway;Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, Trondheim, Norway
Venue:
Self-star Properties in Complex Information Systems
Year:
2005

Citing 6
Cited 0

Ant-based load balancing in telecommunications networks

Adaptive Behavior
Swarm intelligence: from natural to artificial systems

Swarm intelligence: from natural to artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Using the Cross-Entropy Method to Guide/Govern Mobile Agent's Path Finding in Networks

MATA '01 Proceedings of the Third International Workshop on Mobile Agents for Telecommunication Applications
Routing, Flow, and Capacity Design in Communication and Computer Networks

Routing, Flow, and Capacity Design in Communication and Computer Networks
AntNet: distributed stigmergetic control for communications networks

Journal of Artificial Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

Virtual path management in dynamic networks poses a number of challenges related to combinatorial optimisation, fault and traffic handling. Ideally such management should react immediately on changes in the operational conditions, and be autonomous, inherently robust and distributed to ensure operational simplicity and network resilience. Swarm intelligence based self management is a candidate potentially able to fulfil these requirements. Swarm intelligence achieved by cross entropy (CE) ants is introduced, and two CE ants based path management approaches are presented. A case study of a nation wide communication infrastructure is performed to demonstrate their abilities to handle change in network traffic as well as failures and restoration of links.