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  1. Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV '13)
  2. TCP receive buffer aware wireless multimedia streaming: an energy efficient approach
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Data prefetching to reduce energy use by heterogeneous disk arrays in video servers
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TCP receive buffer aware wireless multimedia streaming: an energy efficient approach
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What should you cache?: a global analysis on YouTube related video caching
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TCP receive buffer aware wireless multimedia streaming: an energy efficient approach

Content Provider ACM Digital Library
Author Hoque, Mohammad Ashraful Siekkinen, Matti Nurminen, Jukka K.
Abstract Shaping constant bit rate traffic into bursts has been proposed earlier for UDP-based multimedia streaming to save Wi-Fi communication energy of mobile devices. The relationship between the burst size and energy consumption of wireless interfaces is such that the larger is the burst size, the lower is the energy consumption per bit received as long as there is no packet loss. However, the relationship between the burst size and energy in case of TCP traffic has not yet been fully uncovered. In this paper, we develop a power consumption model which describes this relationship in wireless multimedia streaming scenarios. Then, we implement a cross-layer stream delivery system, EStreamer. This system relies on a heuristic derived from the model and on client playback buffer status to determine a burst size and provides as small energy consumption as possible without jeopardizing smooth playback. The heuristic greatly simplifies the deployment of EStreamer compared to most existing solutions by ensuring energy savings regardless of the wireless interface being used. We show that in the best cases using EStreamer reduces energy consumption of a mobile device by 65%, 50-60% and 35% while streaming over Wi-Fi, LTE and 3G respectively. Compared with existing energy-aware applications energy consumption can be reduced by 10-55% further.
Starting Page 13
Ending Page 18
Page Count 6
File Format PDF
ISBN 9781450318921
DOI 10.1145/2460782.2460785
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-02-26
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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