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Information theoretic approach to traffic adaptive WDM networks by S. Sinha; C.S.R. Murthy is a Computer Science article available to read on EtoBox.

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WDM networks adapt to the changes in traffic by reconfiguring the virtual topology. Though reconfiguration is done with the objective of utilizing resources efficiently, the resulting disruption in traffic is a cause for concern. Hence, policies are formed to decide on the time (i.e., when) to trigger reconfiguration and the new virtual topology that is most beneficial to the network. We present a simple, general and flexible framework, based on the two conflicting objectives of efficient resource utilization and minimizing traffic disruption, to evaluate reconfiguration policies. Instead of re-determining the reconfiguration policy whenever the traffic changes, we present Incremental Clustering Algorithm (ICA) to pre-plan the reconfiguration policy for a fully predictable finite sequence of traffic matrices. Since full predictability of such a sequence is not possible in practice, we learn the traffic sequences in order to probabilistically predict the future ones. From an information theoretic point of view, we quantify the predictability of traffic sequences and the number of times the reconfiguration policy is re-determined for any WDM network. To optimally predict the future t

Who reads Information theoretic approach to traffic adaptive WDM networks?

Author

S. Sinha; C.S.R. Murthy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Published

2005

Language

EN

Field

Computer Science (Physical Sciences)