Network architecture for joint failure recovery and traffic engineering

  • Authors:

  • Martin Suchara;Dahai Xu;Robert Doverspike;David Johnson;Jennifer Rexford

  • Affiliations:

  • Princeton University, Princeton, NJ, USA;AT&T Labs Research, Florham Park, NJ, USA;AT&T Labs Research, Florham Park, NJ, USA;AT&T Labs Research, Florham Park, NJ, USA;Princeton University, Princeton, NJ, USA

  • Venue:
  • Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
  • Year:
  • 2011

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Abstract

Today's networks typically handle traffic engineering (e.g., tuning the routing-protocol parameters to optimize the flow of traffic) and failure recovery (e.g., pre-installed backup paths) independently. In this paper, we propose a unified way to balance load efficiently under a wide range of failure scenarios. Our architecture supports flexible splitting of traffic over multiple precomputed paths, with efficient path-level failure detection and automatic load balancing over the remaining paths. We propose two candidate solutions that differ in how the routers rebalance the load after a failure, leading to a trade-off between router complexity and load-balancing performance. We present and solve the optimization problems that compute the configuration state for each router. Our experiments with traffic measurements and topology data (including shared risks in the underlying transport network) from a large ISP identify a "sweet spot" that achieves near-optimal load balancing under a variety of failure scenarios, with a relatively small amount of state in the routers. We believe that our solution for joint traffic engineering and failure recovery will appeal to Internet Service Providers as well as the operators of data-center networks.