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A statistical admission control algorithm for multimedia servers
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Source International Multimedia Conference archive
Proceedings of the second ACM international conference on Multimedia table of contents
San Francisco, California, United States
Pages: 33 - 40  
Year of Publication: 1994
ISBN:0-89791-686-7
Authors
H. Vin  Department of Computer Sciences, University of Texas at Austin, Taylor Hall 2.124, Austin, Texas
P. Goyal  Department of Computer Sciences, University of Texas at Austin, Taylor Hall 2.124, Austin, Texas
A. Goyal
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGCOMM: ACM Special Interest Group on Data Communication
SIGLINK: Hypertext, Hypermedia, and Web
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGIR: ACM Special Interest Group on Information Retrieval
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 26,   Citation Count: 41
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ABSTRACT

A large-scale multimedia server, in practice, has to service a large number of clients simultaneously. Given the real-time requirements of each client and the fixed data transfer bandwidth of disks, a multimedia server must employ admission control algorithms to decide whether a new client can be admitted for service without violating the requirements of the clients already being serviced. In this paper, we present an admission control algorithm for multimedia servers which: (1) exploits the variation in access times of media blocks from disk as well as the variation in client load induced by variable rate compression schemes, and (2) provides statistical service guarantees to each client. The effectiveness of the algorithm is demonstrated through trace-driven simulations.


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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A. Papoulis. Probability, Random Variables, and Stochastic Processes. McCaaw Hill, 1991.
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Harrick M. Vin, Alok Goyal, Anshuman Goyal, and Pawan Goyal. An Observation-Based Approach For Designing Multimedia Servers. In Proceedings of the IEEE international Conference on Multimedia Computing and Systems, Boston, MA, pages 234-243, May 1994.
 
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Harrick M. Vin and P. Venkat Rangan. Designing a Multi-User HDTV Storage Server. IEEE Journal on Selected Areas in Communications, 11(1):153-164, January 1993.
 
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CITED BY  42