Multicommodity flow models, failure propagation, and reliable loss network design
IEEE/ACM Transactions on Networking (TON)
A routing algorithm for distributed communication networks
LCN '97 Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks
A genetic algorithm for designing distributed computer networktopologies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Inferring new design rules by machine learning: a case study of topological optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In the context of computer networks, most conventional algorithms are designed to work under no-failure conditions for dealing with the routing problem. This paper investigates a more realistic situation where the flow assignment takes into account the possibility of a link failure. The method proposed to deal with this problem guarantees the survivability and allows analyzing the network behavior after a link failure. Further, it can be applicable to networks during their design phase as well as during the operational phase. Result analysis reveals the capacity of this method to design networks which satisfy the survivability constraints and to largely improve the delay obtained by other methods.