Published December 6, 2011
| Version v1
Conference paper
Network Characteristics of Video Streaming Traffic
Contributors
Others:
- Protocols and applications for the Internet (PLANETE) ; Centre Inria de l'Université Grenoble Alpes ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)
- Department of Computer Science [Amherst] ; University of Massachusetts System (UMASS)
- This work was supported by the ARO under grant MURI W911NF-08-1-0233.
Description
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.
Abstract
This is the author version of the paper accepted as a full paper at ACM CoNEXT 2011.Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00638063
- URN
- urn:oai:HAL:inria-00638063v1
Origin repository
- Origin repository
- UNICA