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dc.contributor.authorAltın, A.en_US
dc.contributor.authorAmaldi, E.en_US
dc.contributor.authorBelotti, P.en_US
dc.contributor.authorPınar, M. Ç.en_US
dc.date.accessioned2016-02-08T11:44:39Z
dc.date.available2016-02-08T11:44:39Z
dc.date.issued2007en_US
dc.identifier.issn1033-8217
dc.identifier.urihttp://hdl.handle.net/11693/27113
dc.description.abstractWe investigate a network design problem under traffic uncertainty that arises when provisioning Virtual Private Networks (VPNs): given a set of terminals that must communicate with one another, and a set of possible traffic matrices, sufficient capacity has to be reserved on the links of the large underlying public network to support all possible traffic matrices while minimizing the total reservation cost. The problem admits several versions depending on the desired topology of the reserved links, and the nature of the traffic data uncertainty. We present compact linear mixed-integer programming formulations for the problem with the classical hose traffic model and for a less conservative robust variant relying on the traffic statistics that are often available. These flow-based formulations allow us to solve optimally medium-to-large instances with commercial MIP solvers. We also propose a combined branch-and-price and cutting-plane algorithm to tackle larger instances. Computational results obtained for several classes of instances are reported and discussed.en_US
dc.language.isoEnglishen_US
dc.source.titleNetworksen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/net.20145en_US
dc.subjectVirtual private networksen_US
dc.subjectNetwork designen_US
dc.subjectTraffic uncertaintyen_US
dc.subjectRobust optimizationen_US
dc.subjectMixed-integer linear programsen_US
dc.subjectBranch and priceen_US
dc.subjectCutting planesen_US
dc.titleProvisioning virtual private networks under traffic uncertaintyen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Industrial Engineering
dc.citation.spage100en_US
dc.citation.epage115en_US
dc.citation.volumeNumber49en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1002/net.20145en_US
dc.publisherJohn Wiley & Sonsen_US
dc.identifier.eissn1097-0037


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