A Server-side Dynamic Bitrate Generation for Live Streaming
Pages 203 - 209
Abstract
In live streaming, the adaptive bitrate algorithm is an effective way to improve user's quality of experience (QoE). However, the majority of existing adaptive algorithms still have problems of performance degradation in a network environment specifically. When players download chunks of video, it is difficult for the server that provides fixed bitrates to provide suitable chunks for most users. In order to allow the bitrates generated by the server to adapt to the changing network environment, we propose a server-side dynamic bitrate generation algorithm that determines the bitrates to be generated according to clients' bandwidth information. In order to reduce the complexity of the algorithm when a large number of users are online, a clustering algorithm is also used to classify the users’ network environments. Additionally, the client selects the bitrate by considering the bandwidth utilization, difference in quality, and buffered playback time. In order to test our dynamic bitrate generation algorithm, we designed an emulator that supports simulation of multi-user online activity, and our simulation results show that compared to a fixed bitrate schema, our dynamic bitrate generation algorithm can improve user's QoE in several different network environments.
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Published In
May 2023
1025 pages
ISBN:9798400700705
DOI:10.1145/3603781
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 27 July 2023
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CNIOT'23
CNIOT'23: 2023 4th International Conference on Computing, Networks and Internet of Things
May 26 - 28, 2023
Xiamen, China
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Overall Acceptance Rate 39 of 82 submissions, 48%
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