A robust optimization approach to backup network design with random failures
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Modiano_A Robust Optimization.pdf
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Author(s)
Johnston, Matthew Ryan
Lee, Hyang-Won
Modiano, Eytan H.
Date Issued
June 2011
Journal
2011 Proceedings IEEE INFOCOM
Publisher
Institute of Electrical and Electronics Engineers
Citation
Johnston, Matthew, Hyang-Won Lee, and Eytan Modiano. “A Robust Optimization Approach to Backup Network Design with Random Failures.” 2011 Proceedings IEEE INFOCOM. Shanghai, China, 2011. 1512-1520. © Copyright 2011 IEEE
Version
Author's final manuscript
Abstract
This paper presents a scheme in which a dedicated backup network is designed to provide protection from random link failures. Upon a link failure in the primary network, traffic is rerouted through a preplanned path in the backup network. We introduce a novel approach for dealing with random link failures, in which probabilistic survivability guarantees are provided to limit capacity over-provisioning. We show that the optimal backup routing strategy in this respect depends on the reliability of the primary network. Specifically, as primary links become less likely to fail, the optimal backup networks employ more resource sharing amongst backup paths. We apply results from the field of robust optimization to formulate an ILP for the design and capacity provisioning of these backup networks. We then propose a simulated annealing heuristic to solve this problem for largescale networks, and present simulation results that verify our analysis and approach.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1109/INFCOM.2011.5934940
