Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc

Mikko Uitto; Martti Forsell

doi:10.1109/ICMEW.2018.8551534

Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

6 Citations (Scopus)

Abstract

Green networking and communications have become important factors in nowadays energy-hungry video transmission, where users expect to gain high-quality video regardless of time and place. Modern processors, displays and high-speed mobile networks already enable high-definition video streaming to mobile devices that can decode and playback the stream successfully while still maintaining the device capacity for other tasks. However, user mobility and network congestion can affect even the best machinery and introduce the need for HTTP adaptive streaming, which has popularized among content providers. Still, its optimal utilization especially in terms of energy-efficiency is slightly investigated issue. In this paper, we tackle this issue and evaluate both the content production (headend) as well mobile user (terminal) energy consumption against different adaptation methods considering CPU vs. GPU based approaches. The results indicate that frame rate adaptation provides the lowest consumption in both ends and usage of GPUs can lead to further savings.

Original language	English
Title of host publication	2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5386-4195-8, 978-1-5386-4194-1
ISBN (Print)	978-1-5386-4196-5
DOIs	https://doi.org/10.1109/ICMEW.2018.8551534
Publication status	Published - 29 Nov 2018
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Multimedia and Expo, ICMEW - San Diego, United States Duration: 23 Jul 2018 → 27 Jul 2018

Conference

Conference	IEEE International Conference on Multimedia and Expo, ICMEW
Abbreviated title	ICMEW
Country/Territory	United States
City	San Diego
Period	23/07/18 → 27/07/18

Funding

This work was supported by the grant 289773 of Academy of Finland as well as European CELTIC-Plus Project CONVINcE and 5GTN+, which were partially funded by Business Finland. The authors would like to thank for the support.

Keywords

Energy consumption
HEVC
MPEG-DASH
Adaptive streaming

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICMEW.2018.8551534

Cite this

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abstract = "Green networking and communications have become important factors in nowadays energy-hungry video transmission, where users expect to gain high-quality video regardless of time and place. Modern processors, displays and high-speed mobile networks already enable high-definition video streaming to mobile devices that can decode and playback the stream successfully while still maintaining the device capacity for other tasks. However, user mobility and network congestion can affect even the best machinery and introduce the need for HTTP adaptive streaming, which has popularized among content providers. Still, its optimal utilization especially in terms of energy-efficiency is slightly investigated issue. In this paper, we tackle this issue and evaluate both the content production (headend) as well mobile user (terminal) energy consumption against different adaptation methods considering CPU vs. GPU based approaches. The results indicate that frame rate adaptation provides the lowest consumption in both ends and usage of GPUs can lead to further savings.",

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Uitto, M & Forsell, M 2018, Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc. in 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)., 8551534, IEEE Institute of Electrical and Electronic Engineers, pp. 1-6, IEEE International Conference on Multimedia and Expo, ICMEW, San Diego, California, United States, 23/07/18. https://doi.org/10.1109/ICMEW.2018.8551534

Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc. / Uitto, Mikko; Forsell, Martti.
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE Institute of Electrical and Electronic Engineers, 2018. p. 1-6 8551534.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - Green networking and communications have become important factors in nowadays energy-hungry video transmission, where users expect to gain high-quality video regardless of time and place. Modern processors, displays and high-speed mobile networks already enable high-definition video streaming to mobile devices that can decode and playback the stream successfully while still maintaining the device capacity for other tasks. However, user mobility and network congestion can affect even the best machinery and introduce the need for HTTP adaptive streaming, which has popularized among content providers. Still, its optimal utilization especially in terms of energy-efficiency is slightly investigated issue. In this paper, we tackle this issue and evaluate both the content production (headend) as well mobile user (terminal) energy consumption against different adaptation methods considering CPU vs. GPU based approaches. The results indicate that frame rate adaptation provides the lowest consumption in both ends and usage of GPUs can lead to further savings.

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Towards Energy-Efficient Adaptive Mpeg-Dash Streaming Using Hevc

Abstract

Conference

Funding

Keywords

UN SDGs

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