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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zeqi Lai Yong Cui Yayun Bao Jiangchuan Liu Yingchao Zhao Xiao Ma |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong, China (Yingchao Zhao) || Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC, Canada (Jiangchuan Liu) || Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Zeqi Lai; Yong Cui; Xiao Ma) || State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China (Yayun Bao) |
| Abstract | Streaming services are gaining popularity and have contributed a tremendous fraction of today's cellular network traffic. Both playback fluency and battery endurance are significant performance metrics for mobile streaming services. However, because of the unpredictable network condition and the loose coupling between upper layer streaming protocols and underlying network configurations, jointly optimizing rebuffering time and energy consumption for mobile streaming services remains a significant challenge. In this paper, we propose a novel framework that effectively addresses the above limitations and optimizes video transmission in cellular networks. We design two complementary algorithms, Rebuffering Time Minimization Algorithm (RTMA) and Energy Minimization Algorithm (EMA) in this framework, to achieve smoothed playback and energy-efficiency on demand over multi-user scenarios. Our algorithms integrate cross-layer parameters to schedule video delivery. Specifically, RTMA aims at achieving the minimum rebuffering time with limited energy and EMA tries to obtain the minimum energy consumption while meeting the rebuffering time constraint. Extensive simulation demonstrates that RTMA is able to reduce at least 68% rebuffering time and EMA can achieve more than 27% energy reduction compared with other state-of-the-art solutions. |
| Starting Page | 400 |
| Ending Page | 409 |
| File Size | 384192 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781467375870 |
| ISSN | 01903918 |
| DOI | 10.1109/ICPP.2015.49 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Streaming media Energy consumption Mobile communication Algorithm design and analysis Protocols Minimization Resource management cellular networks media media streaming energy efficiency |
| Content Type | Text |
| Resource Type | Article |
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