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

doi:10.1145/3603269.3610841

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 proceeding › Conference 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 language	English (US)
Title of host publication	SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference
Publisher	Association for Computing Machinery, Inc
Pages	1147-1149
Number of pages	3
ISBN (Electronic)	9798400702365
DOIs	https://doi.org/10.1145/3603269.3610841
State	Published - Sep 10 2023
Externally published	Yes
Event	ACM SIGCOMM 2023 Conference - New York, United States Duration: Sep 10 2023 → Sep 14 2023

Publication series

Name	SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference

Conference

Conference	ACM SIGCOMM 2023 Conference
Country/Territory	United States
City	New York
Period	9/10/23 → 9/14/23

Bibliographical note

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

Keywords

application limitation
loss recovery
QUIC

Access

10.1145/3603269.3610841

OpenUrl availability

Full text

Cite this

Yan, X., Li, T., Wu, B., Luo, C., Wang, F., Wang, H., & Xu, K. (2023). Poster: TOO: Accelerating Loss Recovery by Taming On-Off Traffic Patterns. In SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference (pp. 1147-1149). (SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/3603269.3610841

Poster: TOO: Accelerating Loss Recovery by Taming On-Off Traffic Patterns. / Yan, Xu; Li, Tong; Wu, Bo et al.
SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference. Association for Computing Machinery, Inc, 2023. p. 1147-1149 (SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yan, X, Li, T, Wu, B, Luo, C, Wang, F, Wang, H & Xu, K 2023, Poster: TOO: Accelerating Loss Recovery by Taming On-Off Traffic Patterns. in SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference. SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference, Association for Computing Machinery, Inc, pp. 1147-1149, ACM SIGCOMM 2023 Conference, New York, United States, 9/10/23. https://doi.org/10.1145/3603269.3610841

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access

OpenUrl availability

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