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From constant traffic matrices to hose workload model for VPN tree design

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Date
2012
Dewey
Recherche opérationnelle
Sujet
hard combinatorial optimization; VPN
DOI
http://dx.doi.org/10.1109/NETWKS.2012.6381675
Conference name
XVth International Symposium on Telecommunications Network Strategy and Planning (NETWORKS), 2012
Conference date
10-2012
Conference city
Rome
Conference country
Italy
Book title
XVth International Symposium on Telecommunications Network Strategy and Planning (NETWORKS), 2012 - proceedings
Publisher
IEEE
Year
2012
ISBN
978-1-4673-1390-2
URI
https://basepub.dauphine.fr/handle/123456789/11816
Collections
  • LAMSADE : Publications
Metadata
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Author
Thabti, Boulbaba
Lourimi, Ali
Youssef, Habib
Mahjoub, Ali Ridha
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Meddeb, Aref
Type
Communication / Conférence
Item number of pages
1-6
Abstract (EN)
Virtual Private Networks (VPNs) are overlay networks established on top of a public network backbone with the goal of providing a low cost but secure network solution. The allocation of bandwidth for VPN tunnels to meet the requirements specified by customers is an important traffic engineering research issue. This paper addresses the general problem of computing a constrained VPN with a tree topology, and having optimum bandwidth allocation. This is a hard combinatorial optimization problem [1]. This issue was studied first by different resource allocation methods [2] and next was studied by general optimization methods [3]. In this paper, we present integer programming formulations (IPFs) assuming a hose as well as a pipe workload models. Earlier work [2] showed that the hose model results in VPN trees over provisioned by a factor of 2-to-3. Extensive simulations using test networks and their corresponding hose workloads, generated with Brite [4] show that our exact methods produce VPN tree solutions with a bandwidth over-provisioning factor as low as 1.6, and never exceeds a factor of 2, compared to solutions obtained using a pipe workload.

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