• 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