Bi-objective network topology design with reliability constraint

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 predefine...

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Published in2015 6th International Conference on Information and Communication Systems (ICICS) pp. 234 - 239
Main Authors Elshqeirat, Basima, Sieteng Soh, Kwan-Wu Chin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
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DOI10.1109/IACS.2015.7103233

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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 bc r , 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 bc r 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 2 99 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 bc r metric.
AbstractList 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 bc r , 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 bc r 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 2 99 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 bc r metric.
Author Elshqeirat, Basima
Sieteng Soh
Kwan-Wu Chin
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  surname: Kwan-Wu Chin
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  organization: Univ. of Wollongong, Wollongong, NSW, Australia
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Snippet 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)....
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StartPage 234
SubjectTerms Bandwidth
Computer network reliability
Dynamic programming
Genetic algorithms
Lagrange relaxation
network optimization
network topology design
reliability
Reliability engineering
Topology
Title Bi-objective network topology design with reliability constraint
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