Large scale analysis of HTTP Adaptive Streaming over the Mobile Networks

International audienceHTTP Adaptive Streaming technology (HAS) is getting widely adopted by Content Providers, Content Delivery Network service providers (CDN) and Telecom Operators (Telcos). In HAS, video contents are segmented into chunks which sizes usually range between 2 and 10 seconds worth of audiovisual content. These chunks are then delivered upon user requests. This speci c delivery scheme controlled by the client and the increasing number of HTTP requests raise new challenges in terms of content caching strategies. In this paper, we analyze the users' behavior when requesting HAS-based content by considering a real HAS dataset collected in France over the Mobile Networks of a major French Telecom Operator. These observations led us to propose several possibilities to enhance the content caching strategies in such mobile networks