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Equivalent random analysis of a buffered optical switch with general interarrival times

McArdle, Conor J., Tafani, Daniele and Barry, Liam P. orcid logoORCID: 0000-0001-8366-4790 (2009) Equivalent random analysis of a buffered optical switch with general interarrival times. In: SPECTS 2009 - 12th international Symposium on Performance Evaluation of Computer & Telecommunication Systems, 13-16 July 2009, Istanbul, Turkey. ISBN 978-1-4244-4165-5

Abstract
We propose an approximate analytic model of an optical switch with fibre delay lines and wavelength converters by employing Equivalent Random Theory. General arrival traffic is modelled by means of Gamma-distributed interarrival times. The analysis is formulated in terms of virtual traffic flows within the optical switch from which we derive expressions for burst blocking probability, fibre delay line occupancy and mean delay. Emphasis is on approximations that give good numerical efficiency so that the method can be useful for formulating dimensioning problems for large-scale networks. Numerical solution values from the proposed analysis method compare well with results from a discrete-event simulation of an optical burst switch.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:gamma distribution; optical burst switching; random processes; telecommunication traffic;
Subjects:Engineering > Optical communication
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://portal.acm.org/citation.cfm?id=1688327
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15557
Deposited On:26 Jul 2010 13:43 by DORAS Administrator . Last Modified 13 Sep 2018 11:28
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