DRMT: Disaggregated programmable switching

Sharad Chole, Andy Fingerhut, Sha Ma, Anirudh Sivaraman, Shay Vargaftik, Alon Berger, Gal Mendelson, Mohammad Alizadeh, Shang Tse Chuang, Isaac Keslassy, Ariel Orda, Tom Edsall

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

125 Scopus citations

Abstract

We present dRMT (disaggregated Reconfigurable Match-Action Table), a new architecture for programmable switches. dRMT overcomes two important restrictions of RMT, the predominant pipelinebased architecture for programmable switches: (1) table memory is local to an RMT pipeline stage, implying that memory not used by one stage cannot be reclaimed by another, and (2) RMT is hardwired to always sequentially execute matches followed by actions as packets traverse pipeline stages. We show that these restrictions make it difficult to execute programs efficiently on RMT. dRMT resolves both issues by disaggregating the memory and compute resources of a programmable switch. Specifically, dRMT moves table memories out of pipeline stages and into a centralized pool that is accessible through a crossbar. In addition, dRMT replaces RMT's pipeline stages with a cluster of processors that can execute match and action operations in any order. We show how to schedule a P4 program on dRMT at compile time to guarantee deterministic throughput and latency. We also present a hardware design for dRMT and analyze its feasibility and chip area. Our results show that dRMT can run programs at line rate with fewer processors compared to RMT, and avoids performance cliffs when there are not enough processors to run a program at line rate. dRMT's hardware design incurs a modest increase in chip area relative to RMT, mainly due to the crossbar.

Original languageEnglish
Title of host publicationSIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication
Pages1-14
Number of pages14
ISBN (Electronic)9781450346535
DOIs
StatePublished - 7 Aug 2017
Event2017 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2017 - Los Angeles, United States
Duration: 21 Aug 201725 Aug 2017

Publication series

NameSIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication

Conference

Conference2017 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2017
Country/TerritoryUnited States
CityLos Angeles
Period21/08/1725/08/17

Keywords

  • Disagreggation
  • Packet processing
  • Programmable switching
  • RMT

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Communication

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