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poster

The last RTT matters and we can preact

Published: 23 August 2021 Publication History
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  • Abstract

    In this poster, we find that the congestion control algorithms which try to acquire close-to-zero queue would encounter bandwidth waste because there would be a RTT gap for other flows to take over after a flow finishes. By distinguishing the packets of the last round in a flow's lifespan, we can improve the bandwidth utilization of datacenter network. We modify the INT process in HPCC and the FCTs of long flows can be reduced by about 20%-30% from our ns3 simulation.

    Reference

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    Mohammad Alizadeh, Albert Greenberg, David A Maltz, Jitendra Pad-hye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and MurariSridharan. 2010. Data center tcp (dctcp). InProceedings of the ACMSIGCOMM 2010 Conference. 63–74. [2] Mohammad Alizadeh, Shuang Yang, Milad Sharif, Sachin Katti, NickMcKeown, Balaji Prabhakar, and Scott Shenker. 2013. pfabric: Min-imal near-optimal datacenter transport.ACM SIGCOMM ComputerCommunication Review43, 4 (2013), 435–446. [3] Shuihai Hu, Wei Bai, Gaoxiong Zeng, Zilong Wang, Baochen Qiao,Kai Chen, Kun Tan, and Yi Wang. 2020. Aeolus: A building blockfor proactive transport in datacenters. InProceedings of the Annualconference of the ACM Special Interest Group on Data Communication onthe applications, technologies, architectures, and protocols for computercommunication. 422–434. [4] Gautam Kumar, Nandita Dukkipati, Keon Jang, Hassan MG Wassel, XianWu, Behnam Montazeri, Yaogong Wang, Kevin Springborn, ChristopherAlfeld, Michael Ryan, et al.2020. Swift: Delay is simple and effectivefor congestion control in the datacenter. InProceedings of the Annualconference of the ACM Special Interest Group on Data Communication onthe applications, technologies, architectures, and protocols for computercommunication. 514–528. [5] Yuliang Li, Rui Miao, Hongqiang Harry Liu, Yan Zhuang, Fei Feng,Lingbo Tang, Zheng Cao, Ming Zhang, Frank Kelly, Mohammad Al-izadeh, et al.2019. HPCC: high precision congestion control. InPro-ceedings of the ACM Special Interest Group on Data Communication.44–58. [6] Arjun Roy, Hongyi Zeng, Jasmeet Bagga, George Porter, and Alex CSnoeren. 2015. Inside the social network’s (datacenter) network. InProceedings of the 2015 ACM Conference on Special Interest Group onData Communication. 123–137

    Cited By

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    • (2022)THperf: Enabling Accurate Network Latency Measurement for Tianhe-2 System2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00238(1554-1561)Online publication date: Dec-2022

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    cover image ACM Conferences
    SIGCOMM '21: Proceedings of the SIGCOMM '21 Poster and Demo Sessions
    August 2021
    94 pages
    ISBN:9781450386296
    DOI:10.1145/3472716
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 August 2021

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    Author Tags

    1. congestion control
    2. datacenter
    3. last RTT

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    SIGCOMM '21
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    SIGCOMM '21: ACM SIGCOMM 2021 Conference
    August 23 - 27, 2021
    Virtual Event

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    SIGCOMM '21 Paper Acceptance Rate 30 of 56 submissions, 54%;
    Overall Acceptance Rate 554 of 3,547 submissions, 16%

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    • (2022)THperf: Enabling Accurate Network Latency Measurement for Tianhe-2 System2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00238(1554-1561)Online publication date: Dec-2022

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