DocumentCode :
1158606
Title :
Workload-Aware Resource Sharing and Cache Management for Scalable Video Streaming
Author :
Qudah, Bashar ; Sarhan, Nabil J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI
Volume :
19
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
386
Lastpage :
396
Abstract :
The required real-time and high-rate transfers for multimedia data severely limit the number of video streams that can be delivered concurrently. Resource-sharing techniques address this problem and can be classified into two main classes: stream merging and periodic broadcasting. We evaluate through extensive simulation major resource-sharing techniques from the two classes, considering different service models and video workloads. We utilize this extensive analysis in developing a workload-aware hybrid solution (WAHS) that combines the advantages of the best performers among resource-sharing techniques. Moreover, we propose a statistical cache management (SCM) approach and derive analytical models for optimal cache allocation to reduce further the demands on the disk I/O when various resource sharing techniques are used.
Keywords :
video on demand; video streaming; periodic broadcasting; resource sharing; scalable video streaming; statistical cache management; video-on-demand; workload-aware hybrid solution; Cache management; performance evaluation; periodic broadcasting; resource sharing; stream merging; video streaming; video-on-demand (VOD);
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2009.2013498
Filename :
4783013
Link To Document :
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