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Provisioning a virtual private network: a network design problem for multicommodity flow
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-third annual ACM symposium on Theory of computing table of contents
Hersonissos, Greece
Pages: 389 - 398  
Year of Publication: 2001
ISBN:1-58113-349-9
Authors
Anupam Gupta  Dept. of Computer Science, Cornell University, Ithaca, NY
Jon Kleinberg  Dept. of Computer Science, Cornell University, Ithaca, NY
Amit Kumar  Dept. of Computer Science, Cornell University, Ithaca, NY
Rajeev Rastogi  Bell Labs, 600 Mountain Avenue, Murray Hill, NJ
Bulent Yener  Bell Labs, 600 Mountain Avenue, Murray Hill, NJ
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 21,   Downloads (12 Months): 132,   Citation Count: 18
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ABSTRACT

Consider a setting in which a group of nodes, situated in a large underlying network, wishes to reserve bandwidth on which to support communication. Virtual private networks (VPNs) are services that support such a construct; rather than building a new physical network on the group of nodes that must be connected, bandwidth in the underlying network is reserved for communication within the group, forming a virtual “sub-network.”Provisioning a virtual private network over a set off terminals gives rise to the following general network design problem. We have bounds on the cumulative amount of traffic each terminal can send and receive; we must choose a path for each pair of terminals, and a bandwidth allocation for each edge of the network, so that any traffic matrix consistent with the given upper bounds can be feasibly routed. Thus, we are seeking to design a network that can support a continuum of possible traffic scenarios.We provide optimal and approximate algorithms for several variants of this problem, depending on whether the traffic matrix is required to be symmetric, and on whether the designed network is required to be a tree (a natural constraint in a number of basic applications). We also establish a relation between this collection of network design problems and a variant of the facility location problem introduced by Karger and Minkoff; we extend their results by providing a stronger approximation algorithm for this latter problem.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Martin Grotschel, Laszlo Lovasz, and Alexander Schrijver. Geometric algorithms and combinatorial optimization. Springer-Verlag, Berlin, 1988.
 
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Laszlo Lovasz and Michael D. Plummer. Matching theory. North-Holland Publishing Co., Amsterdam, 1986. Annals of Discrete Mathematics, 29.
 
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CITED BY  18

Collaborative Colleagues:
Anupam Gupta: colleagues
Jon Kleinberg: colleagues
Amit Kumar: colleagues
Rajeev Rastogi: colleagues
Bulent Yener: colleagues