research-article

Opportunistic Transmission for Video Streaming over Wild Internet

Authors:

Jianxin WangAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 18, Issue 3s

Article No.: 140, Pages 1 - 22

https://doi.org/10.1145/3488722

Published: 11 February 2023 Publication History

Abstract

The video streaming system employs adaptive bitrate (ABR) algorithms to optimize a user’s quality of experience. However, it is hard for ABR algorithms to choose the right bitrate consistently under highly dynamic bandwidth fluctuations in wild Internet. In this article, we propose a building block on the client side named Opportunistic Chunk Replacement Mechanism (OCRM) to help existing ABR algorithms make full use of the available bandwidth to improve the network utilization and viewing experience of users. Specifically, the servers take advantages of the spare bandwidth to opportunistically transmit high-quality chunks (called opportunistic chunks) with low priority to the client, without incurring any extra delay. Then, the client player replaces the low-quality chunks with the opportunistic ones that have high quality. We compare OCRM with state-of-the-art ABR algorithms by using trace-driven experiments spanning a wide variety of quality of experience metrics and network conditions. The test results show that OCRM effectively achieves high network utilization and improves the user’s viewing experience by up to 35%.

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Cited By

Gayathri SSurendran D(2024)Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networksJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00595-y13:1Online publication date: 23-Feb-2024
https://dl.acm.org/doi/10.1186/s13677-024-00595-y
Nos TElmeligy AHassan MLandolsi TIsmail M(2024)Buffer-Based Adaptive Bitrate Algorithm for Enhanced Quality of Experience2024 International Telecommunications Conference (ITC-Egypt)10.1109/ITC-Egypt61547.2024.10620520(721-726)Online publication date: 22-Jul-2024
https://doi.org/10.1109/ITC-Egypt61547.2024.10620520
Kang JChung K(2024)RL-based HTTP adaptive streaming with edge collaboration in multi-client environmentJournal of Network and Computer Applications10.1016/j.jnca.2024.103833223(103833)Online publication date: Mar-2024
https://doi.org/10.1016/j.jnca.2024.103833
Show More Cited By

Index Terms

Opportunistic Transmission for Video Streaming over Wild Internet
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 18, Issue 3s

October 2022

381 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3567476

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

Issue’s Table of Contents

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 February 2023

Online AM: 12 March 2022

Accepted: 24 September 2021

Revised: 18 August 2021

Received: 05 April 2021

Published in TOMM Volume 18, Issue 3s

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Funding Sources

National Natural Science Foundation of China
Key Research and Development Program of Hunan
Natural Science Foundation of Hunan Province, China
China Postdoctoral Science Foundation

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Cited By

Gayathri SSurendran D(2024)Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networksJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00595-y13:1Online publication date: 23-Feb-2024
https://dl.acm.org/doi/10.1186/s13677-024-00595-y
Nos TElmeligy AHassan MLandolsi TIsmail M(2024)Buffer-Based Adaptive Bitrate Algorithm for Enhanced Quality of Experience2024 International Telecommunications Conference (ITC-Egypt)10.1109/ITC-Egypt61547.2024.10620520(721-726)Online publication date: 22-Jul-2024
https://doi.org/10.1109/ITC-Egypt61547.2024.10620520
Kang JChung K(2024)RL-based HTTP adaptive streaming with edge collaboration in multi-client environmentJournal of Network and Computer Applications10.1016/j.jnca.2024.103833223(103833)Online publication date: Mar-2024
https://doi.org/10.1016/j.jnca.2024.103833
Lee ABae HKim C(2024)COCKTAILComputer Communications10.1016/j.comcom.2024.01.014219:C(204-215)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.comcom.2024.01.014
Li WHuang JSu QJiang WWang J(2024)A learning-based approach for video streaming over fluctuating networks with limited playback buffersComputer Communications10.1016/j.comcom.2023.11.027214:C(113-122)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.comcom.2023.11.027
Xuegang LJunrui LBo WJuan W(2023)Hybrid Low-Rank Tensor CP and Tucker Decomposition with Total Variation Regularization for HSI Noise RemovalWireless Communications & Mobile Computing10.1155/2023/46855632023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/4685563
Wang YWen JZhou WWu QWei YLi HTao B(2022)Research on Abnormal Behavior Prediction by Integrating Multiple Indexes of Student Behavior and Text Information in Big Data EnvironmentWireless Communications & Mobile Computing10.1155/2022/19021552022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1902155

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