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Analysis of OBS networks with limited wavelength conversion

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posted on 2024-07-11, 10:32 authored by Zvi Rosberg, Andrew Zalesky, Hai Vu, Moshe Zukerman
Presented herein is a scalable framework for estimating path blocking probabilities in optical burst switched (OBS) networks where limited wavelength conversion is possible. Although presented under the guise of OBS, it is pertinent to a broader class of optical networks based on the principle of bufferless unacknowledged switching. By applying the framework to the NSFNET topology, it is shown that even the most limited conversion range may reduce path blocking probabilities by several orders of magnitude, compared with no wavelength conversion. Moreover, contrary to previous results derived for all-optical non-OBS networks with acknowledgement, OBS with full wavelength conversion achieves significantly lower blocking probabilities than OBS with limited wavelength conversion when the conversion range is small. Underpinning the framework is a generalization of the classical reduced load approximation. Assuming links evolve independently of each other allows decoupling of the network into its constituent links. A set of fixed-point equations describing the evolution of each conversion range are then solved by successive substitution to estimate link blocking probabilities. Having these link blocking probabilities, path blocking probabilities are evaluated. The complexity of the framework is dominated by the wavelength conversion range and is independent of the number of wavelengths per link under certain symmetry conditions. Both just-in-time (JIT) and just-enough-time (JET) scheduling are considered. Simulations are implemented to corroborate the accuracy of the framework.

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ISSN

1063-6692

Journal title

IEEE/ACM Transactions on Networking

Volume

14

Issue

5

Pagination

9 pp

Publisher

IEEE

Copyright statement

Copyright © 2006 IEEE. Paper is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in oTher works must be obtained from The IEEE.

Language

eng

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