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SWIFT: Predictive Fast Reroute

Holterbach, T; Vissicchio, S; Dainotti, A; Vanbever, L; (2017) SWIFT: Predictive Fast Reroute. In: SIGCOMM '17: Proceedings of the Conference of the ACM Special Interest Group on Data Communication. (pp. pp. 460-473). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Network operators often face the problem of remote outages in transit networks leading to significant (sometimes on the order of minutes) downtimes. The issue is that BGP, the Internet routing protocol, often converges slowly upon such outages, as large bursts of messages have to be processed and propagated router by router. In this paper, we present SWIFT, a fast-reroute framework which enables routers to restore connectivity in few seconds upon remote outages. SWIFT is based on two novel techniques. First, SWIFT deals with slow outage notification by predicting the overall extent of a remote failure out of few control-plane (BGP) messages. The key insight is that significant inference speed can be gained at the price of some accuracy. Second, SWIFT introduces a new data-plane encoding scheme, which enables quick and flexible update of the affected forwarding entries. SWIFT is deployable on existing devices, without modifying BGP. We present a complete implementation of SWIFT and demonstrate that it is both fast and accurate. In our experiments with real BGP traces, SWIFT predicts the extent of a remote outage in few seconds with an accuracy of ~90% and can restore connectivity for 99% of the affected destinations.

Type: Proceedings paper
Title: SWIFT: Predictive Fast Reroute
Event: Conference of the ACM Special Interest Group on Data Communication (SIGCOMM '17)
ISBN-13: 9781450346535
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3098822.3098856
Publisher version: https://doi.org/10.1145/3098822.3098856
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: BGP; Convergence; Fast Reroute; Root Cause Analysis
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1560977
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