User Behavior Characterization of a Large-scale Mobile Live Streaming System

Abstract : Streaming live content to mobile terminals has become prevalent. While there are extensive measurement studies of non-mobile live streaming (and in particular P2P live streaming) and video-on-demand (both mobile and non-mobile), user behavior in mobile live streaming systems is yet to be explored. This paper relies on over 4 million access logs collected from the PPTV live streaming system to study the viewing behavior and user activity pattern, with emphasis on the discrepancies that might exist when users access the live streaming system catalog from mobile and non-mobile terminals. We observe high rates of abandoned viewing sessions for mobile users and identify different reasons of that behavior for 3G-and WiFi-based views. We further examine the structure of abandoned sessions due to connection performance issues from the perspectives of time of day and mobile device types. To understand the user pattern, we analyze user activity distribution, user geographical distribution as well as user arrival/departure rates.
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Submitted on : Wednesday, December 9, 2015 - 12:05:01 PM
Last modification on : Wednesday, January 10, 2018 - 9:44:44 AM

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Zhenyu Li, Mohamed Ali Kaafar, Kavé Salamatian, Gaogang Xie. User Behavior Characterization of a Large-scale Mobile Live Streaming System. 24th International Conference on World Wide Web, May 2015, Florence, Italy. pp.Pages 307-313, ⟨10.1145/2740908.2743054⟩. ⟨hal-01235196⟩

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