에너지 효율적인 버퍼 기반 비디오 스트리밍 최적화 기법

Video streaming applications such as Netflix and Youtube are widely used in our daily life. A DASH based streaming client exploits adaptive bit rate (ABR) method to choose the most appropriate video source representation that the network can support. In this paper we propose a novel energy-aware ABR...

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Bibliographic Details
Published in한국정보통신학회논문지 Vol. 26; no. 10; pp. 1563 - 1566
Main Author 강영명(Young-myoung Kang)
Format Journal Article
LanguageKorean
Published 한국정보통신학회 2022
Subjects
Streaming
ABR
Energy
LQ
DASH
Online AccessGet full text

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Summary:Video streaming applications such as Netflix and Youtube are widely used in our daily life. A DASH based streaming client exploits adaptive bit rate (ABR) method to choose the most appropriate video source representation that the network can support. In this paper we propose a novel energy-aware ABR scheme that adds the ability to monitor energy efficiency in addition to the linear quadratic regulator algorithm we previously introduced. Our trace-driven simulation studies show that our proposed scheme mitigates and shortens re-buffering, resulting in energy savings of mobile devices while preserving the similar QoE compared to the state-of-the-art ABR algorithms.
Bibliography:KISTI1.1003/JNL.JAKO202231159765532
ISSN:2234-4772
2288-4165