Adaptive streaming over HTTP is largely used to deliver live and on-demand video. It works by adjusting video quality according to network conditions. While QoE for different streaming services has been studied, it is still unclear how access line capacity impacts QoE of broadband users in video sessions. We make a first step to answer this question by characterizing parameters influencing QoE, such as frequency of video adaptations. We take a passive point of view, and analyze a dataset summarizing video sessions of a large population for one year. We first split customers based on their estimated access line capacity. Then, we quantify how the latter affects QoE metrics by parsing HTTP requests of Microsoft Smooth Streaming (MSS) services. For selected services, we observe that at least 3~Mbps of downstream capacity is needed to let the player select the best bitrate, while at least 6~Mbps are required to minimize delays to retrieve initial fragments. Surprisingly, customers with faster access lines obtain limited benefits, hinting to restrictions on the design of services.

Impact of Access Line Capacity on Adaptive Video Streaming Quality - A Passive Perspective / Trevisan, Martino; Drago, Idilio; Mellia, Marco. - STAMPA. - (2016), pp. 7-12. ((Intervento presentato al convegno Internet-QoE '16 - ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks tenutosi a Florianopolis, Brasil nel August 2016 [10.1145/2940136.2940139].

Impact of Access Line Capacity on Adaptive Video Streaming Quality - A Passive Perspective

TREVISAN, MARTINO;DRAGO, IDILIO;MELLIA, Marco
2016

Abstract

Adaptive streaming over HTTP is largely used to deliver live and on-demand video. It works by adjusting video quality according to network conditions. While QoE for different streaming services has been studied, it is still unclear how access line capacity impacts QoE of broadband users in video sessions. We make a first step to answer this question by characterizing parameters influencing QoE, such as frequency of video adaptations. We take a passive point of view, and analyze a dataset summarizing video sessions of a large population for one year. We first split customers based on their estimated access line capacity. Then, we quantify how the latter affects QoE metrics by parsing HTTP requests of Microsoft Smooth Streaming (MSS) services. For selected services, we observe that at least 3~Mbps of downstream capacity is needed to let the player select the best bitrate, while at least 6~Mbps are required to minimize delays to retrieve initial fragments. Surprisingly, customers with faster access lines obtain limited benefits, hinting to restrictions on the design of services.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2656629
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