• DocumentCode
    2116006
  • Title

    Evaluation of gateway-based shaping methods for HTTP Adaptive Streaming

  • Author

    Ameur, Chiheb Ben ; Mory, Emmanuel ; Cousin, Bernard

  • Author_Institution
    Orange Labs, Rennes, France
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1777
  • Lastpage
    1782
  • Abstract
    HTTP Adaptive Streaming (HAS) is a streaming video technique commonly employed over best-effort networks. However, it is characterized by some issues that harm its quality of experience (QoE) in cases of daily use. The main use case of the present investigation involves HAS clients competing for bandwidth inside the same home network. Based on related work, we found that one of the most convenient solutions for this use case is to define a bandwidth manager, on the gateway side, that divides the available home bandwidth between HAS clients. Two main methods have previously been proposed to shape the HAS streams in accordance with the bandwidth manager´s direction and are referred to as gateway-based shaping methods: a highly renowned method, Hierarchical Token Bucket Method (HTBM), that uses the hierarchical token bucket queuing discipline, and another method, Receive Window Tuning Method (RWTM), that employs TCP flow control by handling only acknowledgment TCP packets. In this paper, we compare these two shaping methods. Results indicate that RWTM improves the QoE better than HTBM and does not add queuing delay. Results were validated through experimentation and objective QoE analytical criteria.
  • Keywords
    Bandwidth; Convergence; Estimation; Home automation; Logic gates; Measurement; Servers; Bandwidth Management; HTTP Adaptive Streaming; Quality of Experience; TCP Flow Control; Traffic Shaping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Workshop (ICCW), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICCW.2015.7247438
  • Filename
    7247438