Energy considerations for ABR video streaming to smartphones: Measurements, models and insights

Chaoqun Yue, Subhabrata Sen, Bing Wang, Yanyuan Qin, Feng Qian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Adaptive Bitrate (ABR) streaming is widely used in commercial video services. In this paper, we profile energy consumption of ABR streaming on mobile devices. This profiling is important, since the insights can help developing more energy-efficient ABR streaming pipelines and techniques. We first develop component power models that provide online estimation of the power draw for each component involved in ABR streaming. Using these models, we then quantify the power breakdown in ABR streaming for both regular videos and the emerging 360° panoramic videos. Our measurements validate the accuracy of the power models and provide a number of insights. We discuss use cases of the developed power models, and explore two energy reduction strategies for ABR streaming. Evaluation demonstrates that these simple strategies can provide up to 30% energy savings, with little degradation in viewing quality.

Original languageEnglish (US)
Title of host publicationMMSys 2020 - Proceedings of the 2020 Multimedia Systems Conference
PublisherAssociation for Computing Machinery, Inc
Pages153-165
Number of pages13
ISBN (Electronic)9781450368452
DOIs
StatePublished - May 27 2020
Externally publishedYes
Event11th ACM Multimedia Systems Online Conference, MMSys 2020 - Istanbul, Turkey
Duration: Jun 8 2020Jun 11 2020

Publication series

NameMMSys 2020 - Proceedings of the 2020 Multimedia Systems Conference

Conference

Conference11th ACM Multimedia Systems Online Conference, MMSys 2020
CountryTurkey
CityIstanbul
Period6/8/206/11/20

Keywords

  • adaptive video streaming
  • energy
  • measurements
  • models

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