DocumentCode :
2784405
Title :
Cache replacement strategy for streaming media based on semantic mining
Author :
Xing, Ling ; Ma, Jian-Guo ; Cheng, Hong
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear :
2009
fDate :
23-25 Oct. 2009
Firstpage :
375
Lastpage :
378
Abstract :
In order to deal with the complicated network video data, the work focuses on the technologies of multilayer semantic mining and proxy cache for streaming media. Semantic mining method based on network parameter is presented. Quadratic regression popularity prediction model is introduced to analyze current popularity of streaming media. And then cache replacement strategy based on semantic mining is designed. Simulation results show that the cache replacement strategy is feasible and valid.
Keywords :
cache storage; data mining; regression analysis; video databases; cache replacement strategy; multilayer semantic mining; network video data; proxy cache; quadratic regression popularity prediction model; streaming media; Bandwidth; Data engineering; Data mining; Databases; Electronic mail; Nonhomogeneous media; Prediction algorithms; Predictive models; Streaming media; System performance; Semantic mining; popularity prediction; replacement strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
Type :
conf
DOI :
10.1109/ICACIA.2009.5361078
Filename :
5361078
Link To Document :
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