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    Bi-Objective Network Topology Design with Reliability Constraint

    Access Status
    Fulltext not available
    Authors
    Elshqeirat, Basima
    Soh, Sie Teng
    Chin, K.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Elshqeirat, B. and Soh, S. and Chin, K. 2015. Bi-Objective Network Topology Design with Reliability Constraint, in Al-Jarrah, O. and Al-Rousan, M. (ed), 6th International Conference on Information and Communication Systems (ICIVS), Apr 7-9 2015, pp. 234-239. Amman, Jordan: IEEE.
    Source Title
    The International Conference on Information and Communication Systems
    Source Conference
    The International Conference on Information and Communication Systems
    DOI
    10.1109/IACS.2015.7103233
    ISBN
    978-1-4799-7349-1
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/13724
    Collection
    • Curtin Research Publications
    Abstract

    This paper addresses an NP-hard problem, called NTD-CB/R, whose solution is of importance to applications requiring one or more Quality of Service (QoS). Specifically, the problem calls for a network topology that meets two objectives, i.e., minimal cost and maximum bandwidth, subject to a predefined (s, t) reliability constraint. We approach the problem by converting it into one with a single objective. This is achieved via a ratio, called bcr, between network bandwidth and cost to measure the goodness of each topology, and by applying Lagrange relaxation. Then we propose a dynamic programming (DP) scheme, and propose a heuristic solution, called DPCB/R, to generate each topology using all of its n (s, t) paths. This paper also proposes three heuristic path orders that allow DPCB/R to generate and use only k≤n paths to reduce its time complexity while producing similar results. Extensive simulations using 125 benchmark networks with various sizes show the merits of the path-orders, and effectiveness of our approach. DPCB/R is able to generate 88% optimal results for the networks. Further, its non-optimal results have a bcr ratio, bandwidth, and cost of only up to 1.56%, 0.9%, and, 2.1% off from the optimal, respectively. Further, for a grid network that contains 299 paths it uses only 1.1-27% of the paths while producing a topology that is only 0.92% off from optimal, with respect to bcr metric.

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