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dc.contributor.authorLi, Yuliang
dc.contributor.authorMiao, Rui
dc.contributor.authorLiu, Hongqiang Harry
dc.contributor.authorZhuang, Yan
dc.contributor.authorFeng, Fei
dc.contributor.authorTang, Lingbo
dc.contributor.authorCao, Zheng
dc.contributor.authorZhang, Ming
dc.contributor.authorKelly, Frank
dc.contributor.authorAlizadeh, Mohammad
dc.contributor.authorYu, Minlan
dc.date.accessioned2021-11-05T11:59:14Z
dc.date.available2021-11-05T11:59:14Z
dc.date.issued2019-08
dc.identifier.urihttps://hdl.handle.net/1721.1/137430
dc.description.abstract© 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.en_US
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3341302.3342085en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceAuthor websiteen_US
dc.titleHPCC: high precision congestion controlen_US
dc.typeArticleen_US
dc.identifier.citationLi, 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.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalSIGCOMM 2019 - Proceedings of the 2019 Conference of the ACM Special Interest Group on Data Communicationen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-11-23T18:55:37Z
dspace.orderedauthorsLi, Y; Miao, R; Liu, HH; Zhuang, Y; Feng, F; Tang, L; Cao, Z; Zhang, M; Kelly, F; Alizadeh, M; Yu, Men_US
dspace.date.submission2020-11-23T18:55:42Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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