Hardware-Software Co-Design for Network Performance Measurement
Diagnosing performance problems in networks is important, for example to determine where packets experience high latency or loss. However, existing performance diagnoses are constrained by limited switch mechanisms for measurement. Alternatively, operators use endpoint information indirectly to infe...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery (ACM)
2017
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| Online Access: | http://hdl.handle.net/1721.1/110716 https://orcid.org/0000-0003-4034-0918 https://orcid.org/0000-0002-0014-6742 |
| _version_ | 1826189253288132608 |
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| author | Walker, David Rexford, Jennifer Jeyakumar, Vimalkumar Kim, Changhoon Narayana Ganapathy, Srinivas Sivaraman Kaushalram, Anirudh Nathan, Vikram Alizadeh Attar, Mohammadreza |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Walker, David Rexford, Jennifer Jeyakumar, Vimalkumar Kim, Changhoon Narayana Ganapathy, Srinivas Sivaraman Kaushalram, Anirudh Nathan, Vikram Alizadeh Attar, Mohammadreza |
| author_sort | Walker, David |
| collection | MIT |
| description | Diagnosing performance problems in networks is important, for example to determine where packets experience high latency or loss. However, existing performance diagnoses are constrained by limited switch mechanisms for measurement. Alternatively, operators use endpoint information indirectly to infer root causes for problematic latency or drops.
Instead of designing piecemeal solutions to work around such switch restrictions, we believe that the right approach is to co-design language abstractions and switch hardware primitives for network performance measurement. This approach provides confidence that the switch primitives are sufficiently general, i.e., they can support a variety of existing and unanticipated use cases.
We present a declarative query language that allows operators to ask a diverse set of network performance questions. We show that these queries can be implemented efficiently in switch hardware using a novel programmable key-value store primitive. Our preliminary evaluations show that our hardware design is feasible at modest chip area overhead relative to existing switching chips. |
| first_indexed | 2024-09-23T08:11:53Z |
| format | Article |
| id | mit-1721.1/110716 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:11:53Z |
| publishDate | 2017 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1107162022-09-23T11:34:12Z Hardware-Software Co-Design for Network Performance Measurement Walker, David Rexford, Jennifer Jeyakumar, Vimalkumar Kim, Changhoon Narayana Ganapathy, Srinivas Sivaraman Kaushalram, Anirudh Nathan, Vikram Alizadeh Attar, Mohammadreza Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Narayana Ganapathy, Srinivas Sivaraman Kaushalram, Anirudh Nathan, Vikram Alizadeh Attar, Mohammadreza Diagnosing performance problems in networks is important, for example to determine where packets experience high latency or loss. However, existing performance diagnoses are constrained by limited switch mechanisms for measurement. Alternatively, operators use endpoint information indirectly to infer root causes for problematic latency or drops. Instead of designing piecemeal solutions to work around such switch restrictions, we believe that the right approach is to co-design language abstractions and switch hardware primitives for network performance measurement. This approach provides confidence that the switch primitives are sufficiently general, i.e., they can support a variety of existing and unanticipated use cases. We present a declarative query language that allows operators to ask a diverse set of network performance questions. We show that these queries can be implemented efficiently in switch hardware using a novel programmable key-value store primitive. Our preliminary evaluations show that our hardware design is feasible at modest chip area overhead relative to existing switching chips. 2017-07-14T20:07:17Z 2017-07-14T20:07:17Z 2016-11 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-4661-0 http://hdl.handle.net/1721.1/110716 Narayana, Srinivas et al. “Hardware-Software Co-Design for Network Performance Measurement.” Proceedings of the 15th ACM Workshop on Hot Topics in Networks, Atlanta, GA, USA, 9-10 November, 2016. ACM Press, 2016. pp.190–196. https://orcid.org/0000-0003-4034-0918 https://orcid.org/0000-0002-0014-6742 en_US http://dx.doi.org/10.1145/3005745.3005775 Proceedings of the 15th ACM Workshop on Hot Topics in Networks - HotNets '16 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 | Walker, David Rexford, Jennifer Jeyakumar, Vimalkumar Kim, Changhoon Narayana Ganapathy, Srinivas Sivaraman Kaushalram, Anirudh Nathan, Vikram Alizadeh Attar, Mohammadreza Hardware-Software Co-Design for Network Performance Measurement |
| title | Hardware-Software Co-Design for Network Performance Measurement |
| title_full | Hardware-Software Co-Design for Network Performance Measurement |
| title_fullStr | Hardware-Software Co-Design for Network Performance Measurement |
| title_full_unstemmed | Hardware-Software Co-Design for Network Performance Measurement |
| title_short | Hardware-Software Co-Design for Network Performance Measurement |
| title_sort | hardware software co design for network performance measurement |
| url | http://hdl.handle.net/1721.1/110716 https://orcid.org/0000-0003-4034-0918 https://orcid.org/0000-0002-0014-6742 |
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