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
         
        
        
        
        
            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"
         
        
        
            Conference_Titel : 
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
         
        
        
            Print_ISBN : 
978-1-4244-4290-4
         
        
            Electronic_ISBN : 
1945-788X
         
        
        
            DOI : 
10.1109/ICME.2009.5202615