Applying genetic algorithm for the bandwidth allocation of ATM nets

Fransis Y. Park, Edward K. Wong

    Research output: Contribution to journalConference article

    Abstract

    In this paper, we develop an improved optimization algorithm based on genetic algorithm (GA) approach for the bandwidth allocation of ATM networks. The ATM switches can be connected with multiples of DS3 trunks via digital cross connect systems (DCS). One of the advantages of DCS is its ability to reconfigure a customer network dynamically. We utilize this advantage in the design and dynamic reconfiguration of ATM networks. The problem is formulated as a network optimization problem where a congestion measure based on the average packet delay is minimized, subject to capacity constraints posed by the underlying facility trunks. We choose the traffic routing on the express pipes and the allocation of the bandwidth on these pipes as the variables in this problem. The previous GA algorithm is not practical because (1) the number of the traffic distribution patterns is huge, and (2) the values of offered traffic are continuous. A new representation of the chromosome, Net- Chro, and the reproduction operator are presented. We show that the previous algorithm cannot guarantee full usage of trunk capacities in the solutions it generates. We also discuss open-loop control to overcome the congestion caused by a trunk failure.

    Original languageEnglish (US)
    Pages (from-to)431-441
    Number of pages11
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume2917
    DOIs
    StatePublished - Dec 1 1996
    EventBroadband Access Systems - Boston, MA, United States
    Duration: Nov 19 1996Nov 19 1996

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    Keywords

    • ATM
    • Digital cross connect systems
    • Express pipes
    • Genetic algorithm
    • Optimization

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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