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| Content Provider | Springer Nature Link |
|---|---|
| Author | Nagy, Máté Tapolcai, Jás Rétvári, Gábor |
| Copyright Year | 2013 |
| Abstract | Lately, demand for fast failure recovery in IP networks has become compelling. The Loop-Free Alternates (LFA) specification is a simple IP Fast ReRoute (IPFRR) scheme proposed by the IETF that does not require profound changes to the network infrastructure before deployment. However, this simplicity comes at a severe price, because LFA does not provide complete protection for all possible failure cases in a general topology. This is even more so if network components are prone to fail jointly. In this paper, we study an important network optimization problem arising in this context, the so called LFA graph extension problem, which asks for augmenting the topology with new links in an attempt to improve the LFA failure case coverage. Unfortunately, this problem is NP-complete. The main contributions of the paper are a novel extension of the bipartite graph model for the LFA graph extension problem to the multiple-failure case using the model of Shared Risk Groups, and a suite of accompanying heuristics to obtain approximate solutions. We also compare the performance of the algorithms in extensive numerical studies and we conclude that the optimum can be approximated well in most cases relevant to practice. |
| Starting Page | 103 |
| Ending Page | 119 |
| Page Count | 17 |
| File Format | |
| ISSN | 10184864 |
| Journal | Telecommunication Systems |
| Volume Number | 56 |
| Issue Number | 1 |
| e-ISSN | 15729451 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2013-08-23 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | IP Fast ReRoute Loop-Free Alternates Link and node protection Heuristics Business Information Systems Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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