Segment Prefetching at the Edge for Adaptive Video Streaming

被引:0
|
作者
Aguilar-Armijo, Jesus [1 ]
Timmerer, Christian [1 ]
Hellwagner, Hermann [1 ]
机构
[1] Alpen Adria Univ Klagenfurt, Inst Informat Technol, Christian Doppler Lab ATHENA, Klagenfurt, Austria
来源
2022 18TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB) | 2022年
关键词
Edge computing; MEC; content delivery; adaptive video streaming; HAS; segment prefetching; QOE;
D O I
10.1109/WIMOB55322.2022.9941607
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Segment prefetching is a technique that transmits the next video segments in advance closer to the user to serve content with reduced latency. Due to its location and capabilities, an edge computing node is an ideal component for executing segment prefetching policies and storing/caching the prefetched segments. In this work, we study segment prefetching techniques deployed at the edge computing node for adaptive video streaming. We propose different types of segment prefetching policies and study their costs and benefits, including segment prefetching based on past segment requests, transrating, a Markov prediction model and machine learning. Besides, we analyze and discuss which segment prefetching policy is better under which circumstances and the influence of the ABR algorithm and the bitrate ladder on segment prefetching.
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页数:6
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