Experience-driven research on programmable networks

Hyojoon Kim, Xiaoqi Chen, Jack Brassil, Jennifer Rexford

Research output: Contribution to journalArticlepeer-review

Abstract

Many promising networking research ideas in programmable networks never see the light of day. Yet, deploying research prototypes in production networks can help validate research ideas, improve them with faster feedback, uncover new research questions, and also ease the subsequent transition to practice. In this paper, we show how researchers can run and validate their research ideas in their own backyards—on their production campus networks—and we have seen that such a demonstrator can expedite the deployment of a research idea in practice to solve real network operation problems. We present P4Campus, a proof-of-concept that encompasses tools, an infrastructure design, strategies, and best practices—–both technical and non-technical–—that can help researchers run experiments against their programmable network idea in their own network. We use network tapping devices, packet brokers, and commodity programmable switches to enable running experiments to evaluate research ideas on a production campus network. We present several compelling data-plane applications as use cases that run on our campus and solve production network problems. By sharing our experiences and open-sourcing our P4 apps [28], we hope to encourage similar efforts on other campuses.

Original languageEnglish (US)
Pages (from-to)11-17
Number of pages7
JournalComputer Communication Review
Volume51
Issue number1
StatePublished - Jan 31 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

Keywords

  • Network experiments
  • Network testing platform
  • P4

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