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Proceedings Paper

Network-wide BGP route prediction for traffic engineering
Author(s): Nick Feamster; Jennifer Rexford
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Paper Abstract

The Internet consists of about 13,000 Autonomous Systems (AS's) that exchange routing information using the Border Gateway Protocol (BGP). The operators of each AS must have control over the flow of traffic through their network and between neighboring AS's. However, BGP is a complicated, policy-based protocol that does not include any direct support for traffic engineering. In previous work, we have demonstrated that network operators can adapt the flow of traffic in an efficient and predictable fashion through careful adjustments to the BGP policies running on their edge routers. Nevertheless, many details of the BGP protocol and decision process make predicting the effects of these policy changes difficult. In this paper, we describe a tool that predicts traffic flow at network exit points based on the network topology, the import policy associated with each BGP session, and the routing advertisements received from neighboring AS's. We present a linear-time algorithm that computes a network-wide view of the best BGP routes for each destination prefix given a static snapshot of the network state, without simulating the complex details of BGP message passing. We describe how to construct this snapshot using the BGP routing tables and router configuration files available from operational routers. We verify the accuracy of our algorithm by applying our tool to routing and configuration data from AT&T's commercial IP network. Our route prediction techniques help support the operation of large IP backbone networks, where interdomain routing is an important aspect of traffic engineering.

Paper Details

Date Published: 8 July 2002
PDF: 14 pages
Proc. SPIE 4868, Scalability and Traffic Control in IP Networks II, (8 July 2002); doi: 10.1117/12.475284
Show Author Affiliations
Nick Feamster, Massachusetts Institute of Technology (United States)
Jennifer Rexford, AT&T Labs. (United States)


Published in SPIE Proceedings Vol. 4868:
Scalability and Traffic Control in IP Networks II
Victor Firoiu; Zhi-Li Zhang, Editor(s)

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