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
Link To Document :
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