Language-Directed Hardware Design for Network Performance Monitoring
© 2017 ACM. Network performance monitoring today is restricted by existing switch support for measurement, forcing operators to rely heavily on endpoints with poor visibility into the network core. Switch vendors have added progressively more monitoring features to switches, but the current trajecto...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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ACM
2021
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| Online Access: | https://hdl.handle.net/1721.1/137272 |
| _version_ | 1826192622100676608 |
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| author | Narayana, Srinivas Sivaraman, Anirudh Nathan, Vikram Goyal, Prateesh Arun, Venkat Alizadeh, Mohammad Jeyakumar, Vimalkumar Kim, Changhoon |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Narayana, Srinivas Sivaraman, Anirudh Nathan, Vikram Goyal, Prateesh Arun, Venkat Alizadeh, Mohammad Jeyakumar, Vimalkumar Kim, Changhoon |
| author_sort | Narayana, Srinivas |
| collection | MIT |
| description | © 2017 ACM. Network performance monitoring today is restricted by existing switch support for measurement, forcing operators to rely heavily on endpoints with poor visibility into the network core. Switch vendors have added progressively more monitoring features to switches, but the current trajectory of adding specific features is unsustainable given the ever-changing demands of network operators. Instead, we ask what switch hardware primitives are required to support an expressive language of network performance questions. We believe that the resulting switch hardware design could address a wide variety of current and future performance monitoring needs. We present a performance query language, Marple, modeled on familiar functional constructs like map, filter, groupby, and zip. Marple is backed by a new programmable key-value store primitive on switch hardware. The key-value store performs flexible aggregations at line rate (e.g., a moving average of queueing latencies per flow), and scales to millions of keys. We present a Marple compiler that targets a P4-programmable software switch and a simulator for highspeed programmable switches. Marple can express switch queries that could previously run only on end hosts, while Marple queries only occupy a modest fraction of a switch's hardware resources. |
| first_indexed | 2024-09-23T09:24:21Z |
| format | Article |
| id | mit-1721.1/137272 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:24:21Z |
| publishDate | 2021 |
| publisher | ACM |
| record_format | dspace |
| spelling | mit-1721.1/1372722023-04-07T19:47:16Z Language-Directed Hardware Design for Network Performance Monitoring Narayana, Srinivas Sivaraman, Anirudh Nathan, Vikram Goyal, Prateesh Arun, Venkat Alizadeh, Mohammad Jeyakumar, Vimalkumar Kim, Changhoon Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory © 2017 ACM. Network performance monitoring today is restricted by existing switch support for measurement, forcing operators to rely heavily on endpoints with poor visibility into the network core. Switch vendors have added progressively more monitoring features to switches, but the current trajectory of adding specific features is unsustainable given the ever-changing demands of network operators. Instead, we ask what switch hardware primitives are required to support an expressive language of network performance questions. We believe that the resulting switch hardware design could address a wide variety of current and future performance monitoring needs. We present a performance query language, Marple, modeled on familiar functional constructs like map, filter, groupby, and zip. Marple is backed by a new programmable key-value store primitive on switch hardware. The key-value store performs flexible aggregations at line rate (e.g., a moving average of queueing latencies per flow), and scales to millions of keys. We present a Marple compiler that targets a P4-programmable software switch and a simulator for highspeed programmable switches. Marple can express switch queries that could previously run only on end hosts, while Marple queries only occupy a modest fraction of a switch's hardware resources. 2021-11-03T17:56:47Z 2021-11-03T17:56:47Z 2017-08-07 2019-05-02T16:07:27Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137272 Narayana, Srinivas, Sivaraman, Anirudh, Nathan, Vikram, Goyal, Prateesh, Arun, Venkat et al. 2017. "Language-Directed Hardware Design for Network Performance Monitoring." en 10.1145/3098822.3098829 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf ACM MIT web domain |
| spellingShingle | Narayana, Srinivas Sivaraman, Anirudh Nathan, Vikram Goyal, Prateesh Arun, Venkat Alizadeh, Mohammad Jeyakumar, Vimalkumar Kim, Changhoon Language-Directed Hardware Design for Network Performance Monitoring |
| title | Language-Directed Hardware Design for Network Performance Monitoring |
| title_full | Language-Directed Hardware Design for Network Performance Monitoring |
| title_fullStr | Language-Directed Hardware Design for Network Performance Monitoring |
| title_full_unstemmed | Language-Directed Hardware Design for Network Performance Monitoring |
| title_short | Language-Directed Hardware Design for Network Performance Monitoring |
| title_sort | language directed hardware design for network performance monitoring |
| url | https://hdl.handle.net/1721.1/137272 |
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