Article

Analyzing client interactivity in streaming media

Authors:

Cristiano P. Costa,

Italo S. Cunha,

Claudiney V. Ramos,

Marcus M. Rocha,

Jussara M. Almeida,

Berthier Ribeiro-NetoAuthors Info & Claims

WWW '04: Proceedings of the 13th international conference on World Wide Web

Pages 534 - 543

https://doi.org/10.1145/988672.988744

Published: 17 May 2004 Publication History

Abstract

This paper provides an extensive analysis of pre-stored streaming media workloads, focusing on the client interactive behavior. We analyze four workloads that fall into three different domains, namely, education, entertainment video and entertainment audio. Our main goals are: (a) to identify qualitative similarities and differences in the typical client behavior for the three workload classes and (b) to provide data for generating realistic synthetic workloads.

References

[1]

http://www.uol.com.br.

[2]

http://www.microsoft.com/windows/windowsmedia.

[3]

eTeach - Learning on Demand. http://eteach.cs.wisc.edu/index.html.

[4]

S. Acharya, B. Smith, and P. Parnes. Characterizing User Access to Videos on the World Wide Web. In Proc. MMCN, San Jose, CA, Jan. 2000.

[5]

J. M. Almeida, J. Krueger, D. L. Eager, and M. K. Vernon. Analysis of Educational Media Server Workloads. In Proc. NOSSDAV, Port Jefferson, NY, June 2001.

Digital Library

[6]

L. Cherkasova and M. Gupta. Characterizing Locality, Evolution, and Life Span of Accesses in Enterprise Media Server Workloads. In Proc. NOSSDAV, Miami Beach, FL, May 2002.

Digital Library

[7]

M. Chesire, A. Wolman, G. M. Voelker, and H. M. Levy. Measurement and Analysis of a Streaming Media Workload. In Proc. 3rd USENIX Symp. on Internet Technologies and Systems, San Francisco, CA, Mar. 2001.

Digital Library

[8]

A. Dan, D. Sitaram, and P. Shahabuddin. Scheduling Policies for an On-Demand Video Server with Batching. In Proc. ACM Multimedia, San Francisco, CA, Oct. 1994.

Digital Library

[9]

D. L. Eager, M. K. Vernon, and J. Zahorjan. Bandwidth Skimming: A Technique for Cost-Effective Video on Demand. In Proc. MMCN, San Jose, CA, Jan. 2000.

[10]

K. P. Gummadi, R. J. Dunn, S. Saroiu, S. D. Gribble, H. M. Levy, and J. Zahorjan. Measurement, Modeling and Analysis of a Peer-to-Peer File-Sharing Workload. In Proc. SOSP, Bolton Landing, NY, Oct. 2003.

Digital Library

[11]

N. Harel, V. Vellanki, A. Chervenak, G. Abowd, and U. Ramachandran. Workload of a Media-Enhanced Classroom Server. In Proc. 2nd Annual Workshop on Workload Characterization, Austin, TX, Oct. 1999.

[12]

L. He, J. Grudin, and A. Gupta. Designing Presentations for On-Demand Viewing. In Proc. ACM Conf. on Computer Supported Cooperative Work, Philadelphia, PA, Dec. 2000.

Digital Library

[13]

K. Hua, Y. Cai, and S. Sheu. Patching: A Multicast Technique for True Video-on-Demand Services. In Proc. ACM Multimedia, Bristol, U.K., Sept. 1998.

Digital Library

[14]

S. Jin and A. Bestavros. Scalability of Multicast Delivery for Non-sequential Streaming Access. In Proc. ACM SIGMETRICS, Marina Del Rey, CA, June 2002.

Digital Library

[15]

J. Padhye and J. Kurose. An Empirical Study of Client Interactions with a Continuous-Media Courseware Server. In Proc. NOSSDAV, Cambridge, UK, July 1998.

[16]

V. Paxson and S. Floyd. Wide-Area Traffic: The Failure of Poisson Modeling. IEEE/ACM Transactions on Networking, 3(3), June 1995.

Digital Library

[17]

H. Tan, D. L. Eager, and M. K. Vernon. Delimiting the Range of Effectiveness of Scalable On-Demand Streaming. In Proc. Int'l Symp. on Computer Performance Modeling and Evaluation, Rome, Italy, Sept. 2002.

Digital Library

[18]

W. Tang, Y. Fu, L. Cherkasova, and A. Vahdat. Medisyn: A Synthetic Streaming Media Service Workload Generator. In Proc. NOSSDAV, Monterey, CA, June 2003.

Digital Library

[19]

E. Veloso, V. Almeida, W. Meira, A. Bestravos, and S. Jin. A Hierarchical Characterization of a Live Streaming Media Workload. IEEE/ACM Trans. on Networking, Sept. 2004.

Digital Library

[20]

G. K. Zipf. Human Behavior and the Principle of Least-Effort. Addison-Wesley, Cambridge, MA, 1949.

Cited By

Bartolec IAlay ÖHsu CBegen A(2021)Performance Estimation of Encrypted Video Streaming in Light of End-User Playback-Related InteractionsProceedings of the 12th ACM Multimedia Systems Conference10.1145/3458305.3478467(413-417)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3458305.3478467
Pedersen Ji Amat AGoseling JBrannstrom FAndriyanova IRosnes E(2021)Dynamic Coded Caching in Wireless NetworksIEEE Transactions on Communications10.1109/TCOMM.2020.304762169:4(2138-2147)Online publication date: Apr-2021
https://doi.org/10.1109/TCOMM.2020.3047621
Correa da Silva DVelloso Pde Aragao Rocha A(2019)Using data mining techniques to extract key factors in Mobile live streaming2019 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC47284.2019.8969600(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ISCC47284.2019.8969600
Show More Cited By

Index Terms

Analyzing client interactivity in streaming media
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory
2. Mathematics of computing
  1. Information theory

Recommendations

P2P-Based Live Media Streaming System
ICNDS '09: Proceedings of the 2009 International Conference on Networking and Digital Society - Volume 01

According to the problems of existing live media streaming system, a P2P-based live media streaming system is brought forward, each peer in the system is not only consumer of live streaming service, but also provider of live streaming service. It ...
Modeling large-scale live video streaming client behavior
Abstract
The live streaming of large-scale events over the Internet attracts a highly diverse audience. Despite the progress in streaming technologies, which employ adaptive bitrate to dynamically adjust the streaming of individual clients to reflect their ...
Cross Layer Protocol Support for Live Streaming Media
AINA '08: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications

Delivering live streaming content over the Internet requires low delay and smooth packet transmission rate. TCP introduces rate oscillations and requires more buffering andbandwidth to sustain uninterrupted playback. In this paper we propose a new ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

WWW '04: Proceedings of the 13th international conference on World Wide Web

May 2004

754 pages

ISBN:158113844X

DOI:10.1145/988672

Conference Chairs:
Stuart Feldman
IBM Research
,
Mike Uretsky
New York University
,
Program Chairs:
Marc Najork
Microsoft Research
,
Craig Wills
Worcester Polytechnic Institute

Copyright © 2004 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]

Sponsors

ACM: Association for Computing Machinery

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

WWW04

Sponsor:

ACM

WWW04: The 2004 World Wide Web Conference ( in conjunction with ACM Conference on Electronic Commerce [EC'04])

May 17 - 20, 2004

NY, New York, USA

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

108
Total Citations
View Citations
1,162
Total Downloads

Downloads (Last 12 months)18
Downloads (Last 6 weeks)4

Reflects downloads up to 29 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Bartolec IAlay ÖHsu CBegen A(2021)Performance Estimation of Encrypted Video Streaming in Light of End-User Playback-Related InteractionsProceedings of the 12th ACM Multimedia Systems Conference10.1145/3458305.3478467(413-417)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3458305.3478467
Pedersen Ji Amat AGoseling JBrannstrom FAndriyanova IRosnes E(2021)Dynamic Coded Caching in Wireless NetworksIEEE Transactions on Communications10.1109/TCOMM.2020.304762169:4(2138-2147)Online publication date: Apr-2021
https://doi.org/10.1109/TCOMM.2020.3047621
Correa da Silva DVelloso Pde Aragao Rocha A(2019)Using data mining techniques to extract key factors in Mobile live streaming2019 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC47284.2019.8969600(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ISCC47284.2019.8969600
Wang LLi XLiu YGui G(2018)Data-Prefetching Scheme Based on Playback Delay and Positioning Satisfaction in Peer-To-Peer Video-On-Demand SystemSensors10.3390/s1803081618:3(816)Online publication date: 8-Mar-2018
https://doi.org/10.3390/s18030816
da Silva DVelloso Pde A. Rocha ANeto MNovais RFerraz CViana W(2018)Impact factors on live video streams for mobile devicesProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3264667(315-318)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3264667
Silva DDomingues GVelloso PRocha A(2018)Analysis of Mobile-Live-Users of a Large CDN2018 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2018.8538704(00946-00951)Online publication date: Jun-2018
https://doi.org/10.1109/ISCC.2018.8538704
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
Petsas TPapadogiannakis APolychronakis MMarkatos EKaragiannis T(2017)Measurement, Modeling, and Analysis of the Mobile App EcosystemACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/29934192:2(1-33)Online publication date: 6-Mar-2017
https://dl.acm.org/doi/10.1145/2993419
Zuo XYu LYu HMao JZhao Y(2017)Scene-library-based video coding scheme exploiting long-term temporal correlationJournal of Electronic Imaging10.1117/1.JEI.26.4.04302626:04(1)Online publication date: 30-Aug-2017
https://doi.org/10.1117/1.JEI.26.4.043026
LI HNAKAZATO H(2016)Two-Level Popularity-Oriented Cache Replacement Policy for Video Delivery over CCNIEICE Transactions on Communications10.1587/transcom.2016CNP0006E99.B:12(2532-2540)Online publication date: 2016
https://doi.org/10.1587/transcom.2016CNP0006
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten