dRMT: Disaggregated Programmable Switching

© 2017 ACM. 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, imp...

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Main Authors: Chole, Sharad, Fingerhut, Andy, Ma, Sha, Sivaraman, Anirudh, Vargaftik, Shay, Berger, Alon, Mendelson, Gal, Alizadeh, Mohammad, Chuang, Shang-Tse, Keslassy, Isaac, Orda, Ariel, Edsall, Tom
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2021
Online Access:https://hdl.handle.net/1721.1/137433
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author Chole, Sharad
Fingerhut, Andy
Ma, Sha
Sivaraman, Anirudh
Vargaftik, Shay
Berger, Alon
Mendelson, Gal
Alizadeh, Mohammad
Chuang, Shang-Tse
Keslassy, Isaac
Orda, Ariel
Edsall, Tom
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Chole, Sharad
Fingerhut, Andy
Ma, Sha
Sivaraman, Anirudh
Vargaftik, Shay
Berger, Alon
Mendelson, Gal
Alizadeh, Mohammad
Chuang, Shang-Tse
Keslassy, Isaac
Orda, Ariel
Edsall, Tom
author_sort Chole, Sharad
collection MIT
description © 2017 ACM. 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.
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spelling mit-1721.1/1374332023-01-19T16:51:32Z dRMT: Disaggregated Programmable Switching Chole, Sharad Fingerhut, Andy Ma, Sha Sivaraman, Anirudh Vargaftik, Shay Berger, Alon Mendelson, Gal Alizadeh, Mohammad Chuang, Shang-Tse Keslassy, Isaac Orda, Ariel Edsall, Tom Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © 2017 ACM. 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. 2021-11-05T12:15:00Z 2021-11-05T12:15:00Z 2017-08 2020-11-23T18:43:34Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137433 Chole, Sharad, Fingerhut, Andy, Ma, Sha, Sivaraman, Anirudh, Vargaftik, Shay et al. 2017. "dRMT: Disaggregated Programmable Switching." SIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication. en 10.1145/3098822.3098823 SIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain
spellingShingle Chole, Sharad
Fingerhut, Andy
Ma, Sha
Sivaraman, Anirudh
Vargaftik, Shay
Berger, Alon
Mendelson, Gal
Alizadeh, Mohammad
Chuang, Shang-Tse
Keslassy, Isaac
Orda, Ariel
Edsall, Tom
dRMT: Disaggregated Programmable Switching
title dRMT: Disaggregated Programmable Switching
title_full dRMT: Disaggregated Programmable Switching
title_fullStr dRMT: Disaggregated Programmable Switching
title_full_unstemmed dRMT: Disaggregated Programmable Switching
title_short dRMT: Disaggregated Programmable Switching
title_sort drmt disaggregated programmable switching
url https://hdl.handle.net/1721.1/137433
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