HPCC: high precision congestion control
© 2019 Association for Computing Machinery. Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and network stability in high-speed networks. From years of experience operating large-scale and high-speed RDMA networks, we find the existing high-speed CC schemes have inh...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137430 |
| _version_ | 1826192270821425152 |
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| author | Li, Yuliang Miao, Rui Liu, Hongqiang Harry Zhuang, Yan Feng, Fei Tang, Lingbo Cao, Zheng Zhang, Ming Kelly, Frank Alizadeh, Mohammad Yu, Minlan |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Li, Yuliang Miao, Rui Liu, Hongqiang Harry Zhuang, Yan Feng, Fei Tang, Lingbo Cao, Zheng Zhang, Ming Kelly, Frank Alizadeh, Mohammad Yu, Minlan |
| author_sort | Li, Yuliang |
| collection | MIT |
| description | © 2019 Association for Computing Machinery. Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and network stability in high-speed networks. From years of experience operating large-scale and high-speed RDMA networks, we find the existing high-speed CC schemes have inherent limitations for reaching these goals. In this paper, we present HPCC (High Precision Congestion Control), a new high-speed CC mechanism which achieves the three goals simultaneously. HPCC leverages in-network telemetry (INT) to obtain precise link load information and controls traffic precisely. By addressing challenges such as delayed INT information during congestion and overreaction to INT information, HPCC can quickly converge to utilize free bandwidth while avoiding congestion, and can maintain near-zero in-network queues for ultra-low latency. HPCC is also fair and easy to deploy in hardware. We implement HPCC with commodity programmable NICs and switches. In our evaluation, compared to DCQCN and TIMELY, HPCC shortens flow completion times by up to 95%, causing little congestion even under large-scale incasts. |
| first_indexed | 2024-09-23T09:08:56Z |
| format | Article |
| id | mit-1721.1/137430 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:08:56Z |
| publishDate | 2021 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1374302023-08-07T17:58:46Z HPCC: high precision congestion control Li, Yuliang Miao, Rui Liu, Hongqiang Harry Zhuang, Yan Feng, Fei Tang, Lingbo Cao, Zheng Zhang, Ming Kelly, Frank Alizadeh, Mohammad Yu, Minlan Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory © 2019 Association for Computing Machinery. Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and network stability in high-speed networks. From years of experience operating large-scale and high-speed RDMA networks, we find the existing high-speed CC schemes have inherent limitations for reaching these goals. In this paper, we present HPCC (High Precision Congestion Control), a new high-speed CC mechanism which achieves the three goals simultaneously. HPCC leverages in-network telemetry (INT) to obtain precise link load information and controls traffic precisely. By addressing challenges such as delayed INT information during congestion and overreaction to INT information, HPCC can quickly converge to utilize free bandwidth while avoiding congestion, and can maintain near-zero in-network queues for ultra-low latency. HPCC is also fair and easy to deploy in hardware. We implement HPCC with commodity programmable NICs and switches. In our evaluation, compared to DCQCN and TIMELY, HPCC shortens flow completion times by up to 95%, causing little congestion even under large-scale incasts. 2021-11-05T11:59:14Z 2021-11-05T11:59:14Z 2019-08 2020-11-23T18:55:37Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/137430 Li, Yuliang, Miao, Rui, Liu, Hongqiang Harry, Zhuang, Yan, Feng, Fei et al. 2019. "HPCC: high precision congestion control." SIGCOMM 2019 - Proceedings of the 2019 Conference of the ACM Special Interest Group on Data Communication. en 10.1145/3341302.3342085 SIGCOMM 2019 - Proceedings of the 2019 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) Author website |
| spellingShingle | Li, Yuliang Miao, Rui Liu, Hongqiang Harry Zhuang, Yan Feng, Fei Tang, Lingbo Cao, Zheng Zhang, Ming Kelly, Frank Alizadeh, Mohammad Yu, Minlan HPCC: high precision congestion control |
| title | HPCC: high precision congestion control |
| title_full | HPCC: high precision congestion control |
| title_fullStr | HPCC: high precision congestion control |
| title_full_unstemmed | HPCC: high precision congestion control |
| title_short | HPCC: high precision congestion control |
| title_sort | hpcc high precision congestion control |
| url | https://hdl.handle.net/1721.1/137430 |
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