Application of Genetic Algorithms to VOD Network Topology Optimization

Yoshiaki TANAKA  Olivier BERLAGE  

Publication
IEICE TRANSACTIONS on Communications   Vol.E79-B   No.8   pp.1046-1053
Publication Date: 1996/08/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Multimedia on Demand)
Category: 
Keyword: 
genetic,  VOD,  video-on-demand,  network,  topology,  

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Summary: 
In this paper, we point out an architecture optimization problem for networks delivering services such as Video-On-Demand or, more precisely, two intertwined problems, i.e., the storage allocation of the videos among the storage nodes of the network and the choice of the network topology. We present and investigate the properties of a genetic algorithm which can handle such problems. This algorithm, as well as a greedy heuristics and simulated annealing, are then used to derive solutions in function of link and node cost parameters in a 36-node network. The results show that genetic algorithms are an effective class of algorithms for such problems, and possibly many other topology optimization problems.