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

Xu Yan, Tong Li, Bo Wu, Cheng Luo, Fuyu Wang, Haiyang Wang, Ke Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference
PublisherAssociation for Computing Machinery, Inc
Pages1147-1149
Number of pages3
ISBN (Electronic)9798400702365
DOIs
StatePublished - Sep 10 2023
Externally publishedYes
EventACM SIGCOMM 2023 Conference - New York, United States
Duration: Sep 10 2023Sep 14 2023

Publication series

NameSIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference

Conference

ConferenceACM SIGCOMM 2023 Conference
Country/TerritoryUnited States
CityNew York
Period9/10/239/14/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author(s).

Keywords

  • QUIC
  • application limitation
  • loss recovery

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