A blocking probability model in multigranularity cross-connect optical networks

Xiu Jia Kuo*, Chien Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This study analyzes the blocking rate in an optical network with multi-granularity optical cross connect (MG-OXC). The MG-OXC architecture is composed of three kinds of granularity (fiber, waveband, and wavelength) in order to resolve the scalability problem due to the exponentially increasing traffic in traditional OXC. Based on the MG-OXC optical networks, a fundamental issue is to develop the algorithms for the routing and wavelength assignment (RWA) with tunnel allocation. In this paper, we have worked from a slightly different angle. We propose a blocking probability model using Erlang loss formula to estimate the performance of tunnel allocation with a different tunnel length constraint. Finally the analytical results, which have proved to be very close to the simulation results, obtained from various kinds of network topologies are shown.

Original languageEnglish
Title of host publication2007 IEEE Workshop on High Performance Switching and Routing, HPSR
Pages193-198
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE Workshop on High Performance Switching and Routing, HPSR - Brooklyn, NY, United States
Duration: 30 May 20071 Jun 2007

Publication series

Name2007 IEEE Workshop on High Performance Switching and Routing, HPSR

Conference

Conference2007 IEEE Workshop on High Performance Switching and Routing, HPSR
CountryUnited States
CityBrooklyn, NY
Period30/05/071/06/07

Fingerprint Dive into the research topics of 'A blocking probability model in multigranularity cross-connect optical networks'. Together they form a unique fingerprint.

Cite this