Article

An empirical study of realvideo performance across the internet

Authors:

Zheng ZuoAuthors Info & Claims

IMW '01: Proceedings of the 1st ACM SIGCOMM Workshop on Internet measurement

Pages 295 - 309

https://doi.org/10.1145/505202.505239

Published: 01 November 2001 Publication History

Abstract

The tremendous increase in computer power and bandwidth connectivity has fueled the growth of streaming video over the Internet to the desktop. While there have been large scale empirical studies of Internet, Web and multimedia traffic, the performance of popular Internet streaming video technologies and the impact of streaming video on the Internet is still largely unkown. This paper presents analysis from a wide-scale empirical study of RealVideo traffic from several Internet servers to many geographically diverse users. We find typical RealVideos to have high quality, achieving an average frame rate of 10 frames per second and very smooth playout, but very few videos achieve full-motion frame rates. Overall video performance is most influenced by the bandwidth of the end-user connection to the Internet, but high-bandwidth Internet connections are pushing the video performance bottleneck closer to the server.

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Cited By

Zhang WCai YTao MChen ZHe DXu YGuan Y(2024)Modeling and Analysis of Broadcast-Cellular Converged Networks for Hybrid Live and On-Demand ServicesIEEE Transactions on Broadcasting10.1109/TBC.2023.333201170:1(14-25)Online publication date: Mar-2024
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Elhoseny MShehab AOsman L(2018)An Empirical Analysis of User Behavior for P2P IPTV WorkloadsThe International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)10.1007/978-3-319-74690-6_25(252-263)Online publication date: 26-Jan-2018
https://doi.org/10.1007/978-3-319-74690-6_25
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An empirical study of realvideo performance across the internet

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cover image ACM Conferences

IMW '01: Proceedings of the 1st ACM SIGCOMM Workshop on Internet measurement

November 2001

319 pages

ISBN:1581134355

DOI:10.1145/505202

Conference Chair:
Vern Paxson
ACIRI

Copyright © 2001 ACM.

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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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 2001

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SIGCOMM WS'01

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SIGCOMM

SIGCOMM WS'01: ACM SIGCOMM Internet Measurement Workshop 2001

November 1 - 2, 2001

California, San Francisco, USA

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IMW '01 Paper Acceptance Rate 29 of 80 submissions, 36%;

Overall Acceptance Rate 29 of 80 submissions, 36%

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Cited By

Zhang WCai YTao MChen ZHe DXu YGuan Y(2024)Modeling and Analysis of Broadcast-Cellular Converged Networks for Hybrid Live and On-Demand ServicesIEEE Transactions on Broadcasting10.1109/TBC.2023.333201170:1(14-25)Online publication date: Mar-2024
https://doi.org/10.1109/TBC.2023.3332011
Elhoseny MShehab AOsman L(2018)An Empirical Analysis of User Behavior for P2P IPTV WorkloadsThe International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)10.1007/978-3-319-74690-6_25(252-263)Online publication date: 26-Jan-2018
https://doi.org/10.1007/978-3-319-74690-6_25
Juluri PTamarapalli VMedhi D(2016)Measurement of Quality of Experience of Video-on-Demand Services: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2015.240142418:1(401-418)Online publication date: 27-Jan-2016
https://dl.acm.org/doi/10.1109/COMST.2015.2401424
Habib SQadir JAli AHabib DLi MSathiaseelan A(2016)The past, present, and future of transport-layer multipathJournal of Network and Computer Applications10.1016/j.jnca.2016.09.00575:C(236-258)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.jnca.2016.09.005
Sun YChen YChen M(2015)Profiling temporal event behavior for demand prediction in cloud application performance management2015 IEEE International Conference on Communication Workshop (ICCW)10.1109/ICCW.2015.7247458(1902-1908)Online publication date: Jun-2015
https://doi.org/10.1109/ICCW.2015.7247458
Sun YChen YChen M(2013)A Workload Analysis of Live Event Broadcast Service in CloudProcedia Computer Science10.1016/j.procs.2013.06.14319(1028-1033)Online publication date: 2013
https://doi.org/10.1016/j.procs.2013.06.143
Zink M(2013)ReferencesScalable Video on Demand10.1002/9780470022702.refs(233-244)Online publication date: 16-Aug-2013
https://doi.org/10.1002/9780470022702.refs
Li YZhang YYuan RThiran PWillinger W(2011)Measurement and analysis of a large scale commercial mobile internet TV systemProceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference10.1145/2068816.2068837(209-224)Online publication date: 2-Nov-2011
https://dl.acm.org/doi/10.1145/2068816.2068837
Porter TPeng X(2011)An Objective Approach to Measuring Video Playback Quality in Lossy Networks using TCPIEEE Communications Letters10.1109/LCOMM.2010.110310.10164215:1(76-78)Online publication date: Jan-2011
https://doi.org/10.1109/LCOMM.2010.110310.101642
Kapa MNovak MJakab F(2011)Realization of subjective tests in the environment of streaming services2011 9th International Conference on Emerging eLearning Technologies and Applications (ICETA)10.1109/ICETA.2011.6112595(103-107)Online publication date: Oct-2011
https://doi.org/10.1109/ICETA.2011.6112595
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