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Analyzing client interactivity in streaming media
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Source International World Wide Web Conference archive
Proceedings of the 13th international conference on World Wide Web table of contents
New York, NY, USA
SESSION: Workload analysis table of contents
Pages: 534 - 543  
Year of Publication: 2004
ISBN:1-58113-844-X
Authors
Cristiano P. Costa  Federal University of Minas Gerais, Belo Horizonte, Brazil
Italo S. Cunha  Federal University of Minas Gerais, Belo Horizonte, Brazil
Alex Borges  Federal University of Minas Gerais, Belo Horizonte, Brazil
Claudiney V. Ramos  Federal University of Minas Gerais, Belo Horizonte, Brazil
Marcus M. Rocha  Federal University of Minas Gerais, Belo Horizonte, Brazil
Jussara M. Almeida  Federal University of Minas Gerais, Belo Horizonte, Brazil
Berthier Ribeiro-Neto  Federal University of Minas Gerais, Belo Horizonte, Brazil
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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eTeach - Learning on Demand. http://eteach.cs.wisc.edu/index.html.
 
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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.
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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.
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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.
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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.
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14
 
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J. Padhye and J. Kurose. An Empirical Study of Client Interactions with a Continuous-Media Courseware Server. In Proc. NOSSDAV, Cambridge, UK, July 1998.
 
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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.
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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.
 
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G. K. Zipf. Human Behavior and the Principle of Least-Effort. Addison-Wesley, Cambridge, MA, 1949.

CITED BY  21

Collaborative Colleagues:
Cristiano P. Costa: colleagues
Italo S. Cunha: colleagues
Alex Borges: colleagues
Claudiney V. Ramos: colleagues
Marcus M. Rocha: colleagues
Jussara M. Almeida: colleagues
Berthier Ribeiro-Neto: colleagues