By Topic

Cache replacement strategy for streaming media based on semantic mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ling Xing ; Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China ; Jian-Guo Ma ; Hong Cheng

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.

Published in:

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Date of Conference:

23-25 Oct. 2009