Bandwidth-demand prediction in virtual path in ATM networks using genetic algorithms

The concept of Virtual Paths (VP) is a powerful technique to improve the transmission efficiency in ATM networks. Transmission efficiency can be improved by dynamically changing the bandwidths of the VPs, based on the demand. Intelligent controllers, which predict bandwidth-demand patterns to enable...

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Bibliographic Details
Published in:Computer communications 1999-07, Vol.22 (12), p.1127-1135
Main Authors: Swaminathan, N., Srinivasan, J., Raghavan, S.V.
Format: Article
Language:English
Subjects:
Asynchronous transfer mode
ATM networks
Bandwidth-demand patterns
Genetic algorithms
Networks
Routing
Virtual paths
VP bandwidth management
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Summary:The concept of Virtual Paths (VP) is a powerful technique to improve the transmission efficiency in ATM networks. Transmission efficiency can be improved by dynamically changing the bandwidths of the VPs, based on the demand. Intelligent controllers, which predict bandwidth-demand patterns to enable better VP management, have the potential to revolutionize ATM network performance. We present a scheme based on the Evolutionary Genetic Approach to predict the bandwidth-demand patterns in VPs. The efficiency of this approach, quantified in terms of the Degree of Learning (DoL), is evaluated through simulation and the results are presented.
ISSN:0140-3664
1873-703X
DOI:10.1016/S0140-3664(99)00075-4