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Coping with network failures: routing strategies for optimal demand oblivious restoration
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Source Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the joint international conference on Measurement and modeling of computer systems table of contents
New York, NY, USA
SESSION: QoS table of contents
Pages: 270 - 281  
Year of Publication: 2004
ISBN:1-58113-873-3
Also published in ...
Authors
David Applegate  AT&T Labs--Research, Florham Park, NJ
Lee Breslau  AT&T Labs--Research, Florham Park, NJ
Edith Cohen  AT&T Labs--Research, Florham Park, NJ
Sponsors
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Link and node failures in IP networks pose a challenge for network control algorithms. Routing restoration, which computes new routes that avoid failed links, involves fundamental tradeoffs between efficient use of network resources, complexity of the restoration strategy and disruption to network traffic. In order to achieve a balance between these goals, obtaining routings that provide good performance guarantees under failures is desirable.In this paper, building on previous work that provided performance guarantees under uncertain (and potentially unknown) traffic demands, we develop algorithms for computing optimal restoration paths and a methodology for evaluating the performance guarantees of routing under failures. We then study the performance of route restoration on a diverse collection of ISP networks. Our evaluation uses a competitive analysis type framework, where performance of routing with restoration paths under failures is compared to the best possible performance on the failed network. We conclude that with careful selection of restoration paths one can obtain restoration strategies that retain nearly optimal performance on the failed network while minimizing disruptions to traffic flows that did not traverse the failed parts of the network.


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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Collaborative Colleagues:
David Applegate: colleagues
Lee Breslau: colleagues
Edith Cohen: colleagues