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Poster: TOO: Accelerating Loss Recovery by Taming On-Off Traffic Patterns

Published: 01 September 2023 Publication History

Abstract

As the ubiquitous phenomenon occurs in applications such as live streaming and video conferencing, the on-off traffic pattern is regarded as a disadvantage for congestion control. However, we argue that it can be transformed as an advantage for accelerating loss recovery. In this paper, we report the design of TOO, a loss recovery acceleration mechanism that tames on-off patterns for loss duplicate reinjection without incurring non-trivial traffic overhead.

References

[1]
Mirko Palmer, Malte Appel, Kevin Spiteri, Balakrishnan Chandrasekaran, Anja Feldmann, and Ramesh K Sitaraman. VOXEL: Cross-layer optimization for video streaming with imperfect transmission. In ACM CoNext, pages 359-374, 2021.
[2]
Zhilong Zheng, Yunfei Ma, Yanmei Liu, Furong Yang, Zhenyu Li, Yuanbo Zhang, Jiuhai Zhang, Wei Shi, Wentao Chen, Ding Li, et al. Xlink: Qoe-driven multi-path quic transport in large-scale video services. In ACM SIGCOMM, 2021.
[3]
Chao Zhou, Wenjun Wu, Dan Yang, Tianchi Huang, Liang Guo, and Bing Yu. Deadline and priority-aware congestion control for delay-sensitive multimedia streaming. In ACM MM, pages 4740-4744, 2021.
[4]
Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, and K.V. Rashmi. Tambur: Efficient loss recovery for videoconferencing via streaming codes. In USENIX NSDI, pages 953-971, 2023.
[5]
Tong Li, Kai Zheng, Ke Xu, Rahul Arvind Jadhav, Tao Xiong, Keith Winstein, and Kun Tan. Tack: Improving wireless transport performance by taming acknowledgments. In ACM SIGCOMM, pages 15-30, 2020.
[6]
Tong Li, Kai Zheng, Ke Xu, Rahul Arvind Jadhav, Tao Xiong, Keith Winstein, and Kun Tan. Revisiting acknowledgment mechanism for transport control: Modeling, analysis, and implementation. IEEE/ACM TON, 29(6):2678--2692, 2021.
[7]
Yasemin Arda and Jean-Claude Hennet. Inventory control in a multi-supplier system. International Journal of Production Economics, 104(2):249--259, 2006.
[8]
D BertsekasandR. Gallager, data networks. Prentice-Hall, 1(99):2, 1992.
[9]
Hui Xie and Li Tong. Revisiting loss recovery for high-speed transmission. In IEEE WCNC, pages 1-6, 2022.
[10]
Theophilus Benson, Ashok Anand, Aditya Akella, and Ming Zhang. Understanding data center traffic characteristics. ACM SIGCOMM Computer Communication Review, 40(1):92--99, 2010.
[11]
LiteSpeed Tech. LiteSpeed QUIC and HTTP/3 Library. https://github.com/litespeedtech/lsquic.
[12]
Neal Cardwell, Yuchung Cheng, C Stephen Gunn, Soheil Hassas Yeganeh, and Van Jacobson. BBR: congestion-based congestion control. Communications of the ACM, 60(2):58--66, 2017.

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    cover image ACM Conferences
    ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference
    September 2023
    1217 pages
    ISBN:9798400702365
    DOI:10.1145/3603269
    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(s).

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    Publication History

    Published: 01 September 2023

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    Author Tags

    1. QUIC
    2. loss recovery
    3. application limitation

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    ACM SIGCOMM '23
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    ACM SIGCOMM '23: ACM SIGCOMM 2023 Conference
    September 10, 2023
    NY, New York, USA

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    Overall Acceptance Rate 462 of 3,389 submissions, 14%

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