Network characteristics of video streaming traffic

  • Authors:
  • Ashwin Rao;Arnaud Legout;Yeon-sup Lim;Don Towsley;Chadi Barakat;Walid Dabbous

  • Affiliations:
  • INRIA France;INRIA France;University of Massachusetts, Amherst, MA;University of Massachusetts, Amherst, MA;INRIA France;INRIA France

  • Venue:
  • Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Video streaming represents a large fraction of Internet traffic. Surprisingly, little is known about the network characteristics of this traffic. In this paper, we study the network characteristics of the two most popular video streaming services, Netflix and YouTube. We show that the streaming strategies vary with the type of the application (Web browser or native mobile application), and the type of container (Silverlight, Flash, or HTML5) used for video streaming. In particular, we identify three different streaming strategies that produce traffic patterns from non-ack clocked ON-OFF cycles to bulk TCP transfer. We then present an analytical model to study the potential impact of these streaming strategies on the aggregate traffic and make recommendations accordingly.