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