Live game streaming platforms such as Twitch allow gamers to broadcast their gameplay over the Internet. The popularity of these platforms boosts the market of eSport but poses new delivery problems. In this paper, we focus on the implementation of adaptive bitrate streaming in massive live game streaming platforms. Based on three months of real data traces from Twitch, we motivate the need for an adoption of adaptive bitrate streaming in this platform to reduce the delivery bandwidth cost and to increase QoE of viewers. We show however that a naive implementation requires the reservation of a large amount of computing resources for transcoding purposes. To address the trade-off between benefits and costs, we formulate a management problem and we design two strategies for deciding which online channels should be delivered by adaptive bitrate streaming. Our evaluations based on real traces show that these strategies can reduce the overall infrastructure cost by 40% in comparison to an implementation without adaptive streaming.
[1]
Cyril Concolato,et al.
Overhead and performance of low latency live streaming using MPEG-DASH
,
2014,
IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.
[2]
Fabrice Guillemin,et al.
Experimental analysis of caching efficiency for YouTube traffic in an ISP network
,
2013,
Proceedings of the 2013 25th International Teletraffic Congress (ITC).
[3]
Loïc Cerf,et al.
Watch me playing, i am a professional: a first study on video game live streaming
,
2012,
WWW.
[4]
Simone Basso,et al.
Measuring DASH streaming performance from the end users perspective using neubot
,
2014,
MMSys '14.