| Approximating the average response time in broadcast scheduling |
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Symposium on Discrete Algorithms
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Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
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Vancouver, British Columbia
SESSION: Session 3B
table of contents
Pages: 215 - 221
Year of Publication: 2005
ISBN:0-89871-585-7
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Society for Industrial and Applied Mathematics
Philadelphia, PA, USA
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Downloads (6 Weeks): 3, Downloads (12 Months): 28, Citation Count: 9
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ABSTRACT
We consider the problem of approximating the minimum average response time in on-demand data broadcasting systems. The best approximation factors known for this problem involve resource augmentation. We provide the first non-trivial approximation factors in the absence of resource augmentation, achieving an additive O(√n)-approximation, where n is the number of distinct pages. Our result can be extended, for any ε > 0, to a (1 + ε)-speed, additive O(1/ε)-approximation algorithm. Prior to our work, no non-trivial approximation factor was known for the case of ε < 1.
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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N. Alon, and J. Spencer, The Probabilistic Method. John Wiley & Sons, 2000.
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M. Bellare and J. Rompel. Randomness-Efficient Oblivious Sampling. Proc. of the 35th Annual IEEE Symposium on Foundations of Computer Science, pp. 276--287, 1994.
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K. Pruhs, J. Sgall, E. Torng, Online Scheduling. Handbook of Scheduling: Algorithms, Models, and Performance Analysis, editor Joseph Y-T. Leung, CRC Press, 2004.
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CITED BY 9
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Jessica Chang , Thomas Erlebach , Renars Gailis , Samir Khuller, Broadcast scheduling: algorithms and complexity, Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms, p.473-482, January 20-22, 2008, San Francisco, California
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