Scalable BGP Prefix Selection for Effective Inter-domain Traffic Engineering

TL;DR

This paper addresses the scalability challenge in inter-domain traffic engineering by proposing simple, resource-efficient methods to select the most significant prefixes for traffic management, leveraging traffic stability and predictability insights.

Contribution

It introduces three novel methods for prefix selection that balance traffic volume coverage and stability, improving scalability in inter-domain traffic engineering.

Findings

Few prefixes carry most of the traffic

Selected prefixes show high stability over time

Proposed methods outperform naive approaches

Abstract

Inter-domain Traffic Engineering for multi-homed networks faces a scalability challenge, as the size of BGP routing table continue to grow. In this context, the choice of the best path must be made potentially for each destination prefix, requiring all available paths to be characterised (e.g., through measurements) and compared with each other. Fortunately, it is well-known that a few number of prefixes carry the larger part of the traffic. As a natural consequence, to engineer large volume of traffic only few prefixes need to be managed. Yet, traffic characteristics of a given prefix can greatly vary over time, and little is known on the dynamism of traffic at this aggregation level, including predicting the set of the most significant prefixes in the near future. %based on past observations. Sophisticated prediction methods won't scale in such context. In this paper, we study the relationship between prefix volume, stability, and predictability, based on recent traffic traces from nine different networks. Three simple and resource-efficient methods to select the prefixes associated with the most important foreseeable traffic volume are then proposed. Such proposed methods allow to select sets of prefixes with both excellent representativeness (volume coverage) and stability in time, for which the best routes are identified. The analysis carried out confirm the potential benefits of a route decision engine.