DocumentCode :
3114163
Title :
Supporting Scalable and Cooperative Interval Caching in a Clustered Video Server
Author :
Kim, Suneuy ; Tran, Kim Hang Thi
Author_Institution :
San Jose State Univ., San Jose
fYear :
2007
fDate :
12-14 July 2007
Firstpage :
283
Lastpage :
286
Abstract :
The design of scalable video servers with high throughput is receiving considerable attention with the growing popularity of VOD services. This paper presents a design solution we call scalable and cooperative interval caching (SCIC) for clustered video servers. SCIC uses interval caching and cache cooperation done by hash-based request distribution, and a randomized way of probing for an available cache. This way, SCIC can provide high scalability and throughput in clustered servers with a reasonably small amount of communication among hosts. Our simulation results demonstrate that SCIC is an effective caching strategy providing significant performance gains in clustered video servers.
Keywords :
Web services; video on demand; video servers; cache cooperation; clustered video server; cooperative interval caching; hash-based request distribution; scalable video servers; video-on-demand services; Algorithm design and analysis; Bandwidth; Clustering algorithms; Motion pictures; Network servers; Scalability; Streaming media; Switches; Throughput; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications, 2007. NCA 2007. Sixth IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2922-4
Type :
conf
DOI :
10.1109/NCA.2007.46
Filename :
4276635
Link To Document :
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