NDLI: A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks

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A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks

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A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks

Content Provider	ACM Digital Library
Author	Karagkioules, Theodoros Concolato, Cyril Tsilimantos, Dimitrios Valentin, Stefan
Abstract	HTTP Adaptive Streaming (HAS) techniques are now the dominant solution for video delivery in mobile networks. Over the past few years, several HAS algorithms have been introduced in order to improve user quality-of-experience (QoE) by bit-rate adaptation. Their difference is mainly the required input information, ranging from network characteristics to application-layer parameters such as the playback buffer. Interestingly, despite the recent outburst in scientific papers on the topic, a comprehensive comparative study of the main algorithm classes is still missing. In this paper we provide such comparison by evaluating the performance of the state-of-the-art HAS algorithms per class, based on data from field measurements. We provide a systematic study of the main QoE factors and the impact of the target buffer level We conclude that this target buffer level is a critical classifier for the studied HAS algorithms. While buffer-based algorithms show superior QoE in most of the cases, their performance may differ at the low target buffer levels of live streaming services. Overall, we believe that our findings provide valuable insight for the design and choice of HAS algorithms according to networks conditions and service requirements.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450350037
DOI	10.1145/3083165.3083170
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mpeg-dash Performance evaluation Http adaptive streaming
Content Type	Text
Resource Type	Article

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