YouTube everywhere: impact of device and infrastructure synergies on user experience

By A. Finamore, Marco Mellia, M. Munafò, Rubén Torres, Sanjay G. Rao. ACM/SIGCOMM Internet Measurement Conference, 2011

370 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1c62fa38ad2f4e127c0bea89e8d77a2af2acf34e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yanjiao Chen
2. M. Shafiq
3. Lusheng Ji
4. Kaishun Wu
5. Jeffrey Erman
6. Alex X. Liu
7. Vyas Sekar
8. Junchen Jiang

Citations in the corpus

• Developing a predictive model of quality of experience for internet video (2013, background): “Other video measurement studies: Several measurement studies of Internet video have focused on content popularity, user behavior and viewing patterns [22, 41].”
• Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (2012, background): “First, greedily downloading at the highest bitrate may needlessly increase the server’s bandwidth costs, especially if users leave prematurely [23].”
• Inside dropbox: understanding personal cloud storage services (2012, background): “Inoneofourdatasets, for instance, Dropbox isalready equivalent to one third of the YouTube tra.c.”
• From QoS to QoE: A Tutorial on Video Quality Assessment (2015, background): “Large-scale measurement studies have long been carried out to study general user behavior in various video services, including online VoD service [145], [150], Live VoD [148], P2P IPTV system [147], the YouTube traffic [146], [149], [153] and mobile video service [151].”
• Understanding the impact of network dynamics on mobile video user engagement (2014, methodology): “[12], and Erman et al.”
• Network characteristics of video streaming traffic (2011, methodology): “In addition, most of the streaming sessions are interrupted due to lack of interest [16, 17, 19].”
• A Survey on Quality of Experience of HTTP Adaptive Streaming (2015, unknown): “However, recently [24] and [25] describe a new user behavior”
• Caching performance of content centric networks under multi-path routing (and more) (2011, background): “, [42] points out that 60% of YouTube videos are watched for less than 20% of their duration) and of transport dynamics (e.”