• DocumentCode
    3708171
  • Title

    WebRTCbench: a benchmark for performance assessment of webRTC implementations

  • Author

    Sajjad Taheri;Laleh Aghababaie Beni;Alexander V. Veidenbaum;Alexandru Nicolau;Rosario Cammarota;Jianlin Qiu;Qiang Lu;Mohammad R. Haghighat

  • Author_Institution
    Dept. of Computer Science, UC Irvine, Irvine, CA
  • fYear
    2015
  • fDate
    10/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    WebRTC is an HTML5 API that allows browsers to establish a peer-to-peer connection for transferring data and media content via JavaScript APIs. This functionality enables broad range of new applications to emerge and is going to revolutionize Web communication. However, this technology is still under development and standardization process. Hence, detecting performance bottlenecks of different implementations across operating systems and architectures can help improve it significantly, and a benchmark suite would be a great help to accomplish this task. In this paper, we present WebRTCBench, a benchmark which measures WebRTC peer connection establishment and communication performance. We present and discuss performance evaluation of WebRTC implementations across a range of implementations and devices. This benchmark is publicly available under GPL license.
  • Keywords
    "WebRTC","Media","Browsers","Benchmark testing","Streaming media","Servers","Performance evaluation"
  • Publisher
    ieee
  • Conference_Titel
    Embedded Systems For Real-time Multimedia (ESTIMedia), 2015 13th IEEE Symposium on
  • Type

    conf

  • DOI
    10.1109/ESTIMedia.2015.7351769
  • Filename
    7351769