Bi-Objective Network Topology Design with Reliability Constraint
dc.contributor.author | Elshqeirat, Basima | |
dc.contributor.author | Soh, Sie Teng | |
dc.contributor.author | Chin, K. | |
dc.contributor.editor | Omar Al-Jarrah | |
dc.contributor.editor | Mohammad Al-Rousan | |
dc.date.accessioned | 2017-01-30T11:38:57Z | |
dc.date.available | 2017-01-30T11:38:57Z | |
dc.date.created | 2015-07-16T06:22:03Z | |
dc.date.issued | 2015 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/13724 | |
dc.identifier.doi | 10.1109/IACS.2015.7103233 | |
dc.description.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. | |
dc.publisher | IEEE | |
dc.subject | network optimisation | |
dc.subject | reliability | |
dc.subject | Lagrange relaxation | |
dc.subject | network topology design | |
dc.subject | bandwidth | |
dc.subject | Dynamic programming | |
dc.title | Bi-Objective Network Topology Design with Reliability Constraint | |
dc.type | Conference Paper | |
dcterms.source.startPage | 234 | |
dcterms.source.endPage | 239 | |
dcterms.source.title | The International Conference on Information and Communication Systems | |
dcterms.source.series | The International Conference on Information and Communication Systems | |
dcterms.source.isbn | 978-1-4799-7349-1 | |
dcterms.source.conference | The International Conference on Information and Communication Systems | |
dcterms.source.conference-start-date | Apr 7 2015 | |
dcterms.source.conferencelocation | Amman, Jordan | |
dcterms.source.place | Piscataway, NJ, USA | |
curtin.department | Department of Computing | |
curtin.accessStatus | Fulltext not available |