2021 NSDI NSDI 2021

Contracting Wide-area Network Topologies to Solve Flow Problems Quickly

Abstract

Many enterprises today manage traffic on their wide-area networks using software-defined traffic engineering schemes, which scale poorly with network size; the solver runtimes and number of forwarding entries needed at switches increase to untenable levels. We describe a novel method, which, instead of solving a multi-commodity flow problem on the network, solves (1) a simpler problem on a contraction of the network, and (2) a set of sub-problems in parallel on disjoint clusters within the network. Our results on the topology and demands from a large enterprise, as well as on publicly available topologies, show that, in the median case, our method nearly matches the solution quality of currently deployed solutions, but is 8x faster and requires 6x fewer FIB entries. We also show the value-add from using a faster solver to track changing demands and to react to faults.

🌉 Interdisciplinary Bridge — Computer Science and Mathematics & Optimization
🧭 Keyword Pioneer — forwarding information base
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy