DocumentCode :
3632747
Title :
Scalability of HTTP pacing with intelligent bursting
Author :
Kevin J. Ma;Radim Bartos;Swapnil Bhatia
Author_Institution :
Department of Computer Science, University of New Hampshire, Durham, 3824, USA
fYear :
2009
Firstpage :
798
Lastpage :
801
Abstract :
The ubiquity and simplicity of HTTP makes it a popular choice for Web-based video retrieval. However, HTTP was not designed for retrieving data with just-in-time tolerances; HTTP servers have always taken an as-fast-as-possible approach to data delivery. For media with known bandwidth constraints (e.g., audio/video files), HTTP servers can be enhanced and optimized by taking these constraints into account. For these data types, we present our architecture for an HTTP streaming server using paced output with intelligent bursting. We also discuss the scalability advantages of our HTTP streaming server architecture and compare it with traditional HTTP server response times and bandwidth usage.
Keywords :
"Scalability","Web server","Streaming media","Bandwidth","Network servers","File servers","Information retrieval","Delay","Web pages","Protocols"
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-788X
Type :
conf
DOI :
10.1109/ICME.2009.5202615
Filename :
5202615
Link To Document :
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