5th International ICST Conference on Broadband Communications, Networks, and Systems

Research Article

Performance Optimization for Fault Localization in All-Optical Networks

  • @INPROCEEDINGS{10.1109/BROADNETS.2008.4769138,
        author={Mazen Khair and Burak Kantarci and Jun Zheng and Hussein T. Mouftah},
        title={Performance Optimization for Fault Localization in All-Optical Networks},
        proceedings={5th International ICST Conference on Broadband Communications, Networks, and Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2010},
        month={5},
        keywords={Fault localization performance optimization link failure optical network},
        doi={10.1109/BROADNETS.2008.4769138}
    }
    
  • Mazen Khair
    Burak Kantarci
    Jun Zheng
    Hussein T. Mouftah
    Year: 2010
    Performance Optimization for Fault Localization in All-Optical Networks
    BROADNETS
    IEEE
    DOI: 10.1109/BROADNETS.2008.4769138
Mazen Khair1,*, Burak Kantarci1,*, Jun Zheng1,*, Hussein T. Mouftah1,*
  • 1: School of Information Technology and Engineering University of Ottawa, 800 King Edward Street Ottawa, Ontario K1N 6N5, Canada
*Contact email: mkhair@site.uottawa.ca, kantarci@site.uottawa.ca, junzheng@site.uottawa.ca, mouftah@site.uottawa.ca

Abstract

Fault localization is an important issue in all-optical networks. The Limited Perimeter Vector Matching (LVM) protocol is a novel fault localization protocol for localizing single-link failures in all-optical networks. In this paper, we study the fault localization optimization problem in applying the LVM protocol to static networks, where traffic (or lightpath) demand is known a priori. Given the traffic demand, the fault localization optimization problem is to optimize the traffic distribution so that the fault localization probability in terms of the number of localized links can be maximized. We formulate the problem into an integer linear programming problem and use CPLEX to solve the problem. We show through numerical results that by optimizing the traffic distribution the fault localization probability in terms of the number of localized links can be maximized. Moreover, the solution to the problem can also provide the maximum number of wavelengths needed on each link to obtain the maximum fault localization probability.