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Adaptability between ABR algorithms in DASH video streaming and HTTP/3 over QUIC: research proposal

Authors:

Sindhu Chellappa,

Radim BartosAuthors Info & Claims

MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference

Pages 388 - 392

https://doi.org/10.1145/3524273.3533932

Published: 05 August 2022 Publication History

Abstract

This paper contains the research proposal of Sindhu Chellappa that was presented at the MMSys 2022 doctoral symposium. With the ever growing demand for media consumption, HTTP Adaptive Streaming (HAS) is the de-facto standard for adaptive bit rate streaming. Several efforts have been made to increase the Quality of Experience (QoE) for the users by proposing Adaptive Bit Rate (ABR) streaming algorithms to choose the best bitrate for the current network condition. With HAS, the segments are downloaded through Hyper Text Transfer Protocol (HTTP) which operates over Transmission Control Protocol (TCP). HTTP/3 is the recent standardized application protocol which operates over Quick UDP Internet Connection (QUIC). When the protocols changes, it is necessary to revisit the QoE of the ABR algorithms to select the suitable ABR algorithm best suited for the protocol. We present four research questions to address the adaptability between the ABR algorithms and the underlying protocols.

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Cited By

Bi PZou YXiao MYu DLi YLiu ZXie QCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)LiteQUIC: Improving QoE of Video Streams by Reducing CPU Overhead of QUICProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681670(7918-7927)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681670
Chellappa SBartos R(2022)Is QUIC Quicker with HTTP/3? An Empirical Analysis of Quality of Experience with DASH Video Streaming2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS56424.2022.10227765(237-242)Online publication date: 18-Dec-2022
https://doi.org/10.1109/ANTS56424.2022.10227765

Index Terms

Adaptability between ABR algorithms in DASH video streaming and HTTP/3 over QUIC: research proposal
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming
2. Networks
  1. Network protocols
    1. Transport protocols

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Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC
EPIQ '20: Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC

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QUIC is marketed to hold many advantages over TCP. However, preliminary experimentation has shown that simply running contemporary HTTP Adaptive Streaming (HAS) implementations over QUIC does not improve but actually hurts streaming performance compared ...

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Published In

cover image ACM Conferences

MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference

June 2022

432 pages

ISBN:9781450392839

DOI:10.1145/3524273

General Chairs:
Niall Murray
Technological University of the Shannon: Midlands Midwest
,
Gwendal Simon
Synamedia
,
Mylene Farias
University of Brasilia
,
Program Chairs:
Irene Viola
Centrum Wiskunde & Informatica
,
Mario Montagud
i2CAT Foundation & University of Valencia

Copyright © 2022 ACM.

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Publication History

Published: 05 August 2022

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MMSys '22

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SIGMM

MMSys '22: 13th ACM Multimedia Systems Conference

June 14 - 17, 2022

Athlone, Ireland

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Cited By

Bi PZou YXiao MYu DLi YLiu ZXie QCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)LiteQUIC: Improving QoE of Video Streams by Reducing CPU Overhead of QUICProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681670(7918-7927)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681670
Chellappa SBartos R(2022)Is QUIC Quicker with HTTP/3? An Empirical Analysis of Quality of Experience with DASH Video Streaming2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS56424.2022.10227765(237-242)Online publication date: 18-Dec-2022
https://doi.org/10.1109/ANTS56424.2022.10227765

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