NDLI: A popularity-based content distribution optimizing algorithm of clustered streaming media system

Content Provider	IEEE Xplore Digital Library
Author	Wei Xing Yang Jiang Xi Hongsheng
Copyright Year	2008
Description	Author affiliation: Autom. Dept., Univ. of Sci. & Technol. of China, Hefei (Wei Xing; Yang Jiang; Xi Hongsheng)
Abstract	The paper investigates how to optimize the content distribution of streaming media which minimizes the blocking probability in the case of knowing every programpsilas popularity. We adopt queuing theory to Model the system and analysis the relationship between the serverpsilas access probability and blocking probability. The ideal access probability of every server can be obtained by many numerical methods. Content distribution which determines each serverpsilas access probability, is proved to be NP-hard. An improved heuristic arithmetic is designed to perform the content distribution, in order to minimize the distance between the result of optimization and the ideal one. Lastly the correctness of system modeling and the efficiency of proposed arithmetic are verified by numerical analysis and discrete event simulation.
Starting Page	349
Ending Page	353
File Size	295099
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Analytical models Content distribution Blocking probability Clustering algorithms Artificial neural networks Streaming media Servers Multimedia communication Manganese Clustered streaming media system
Content Type	Text
Resource Type	Article

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