Abstract
This article proposes a novel energy-efficient multimedia delivery system called EStreamer. First, we study the relationship between buffer size at the client, burst-shaped TCP-based multimedia traffic, and energy consumption of wireless network interfaces in smartphones. Based on the study, we design and implement EStreamer for constant bit rate and rate-adaptive streaming. EStreamer can improve battery lifetime by 3x, 1.5x, and 2x while streaming over Wi-Fi, 3G, and 4G, respectively.
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- Niranjan Balasubramanian, Aruna Balasubramanian, and Arun Venkataramani. 2009. Energy consumption in mobile phones: A measurement study and implications for network applications. In Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference (IMC'09). ACM Press, New York, 280--293. Google Scholar
Digital Library
- Xu Cheng, Jiangchuan Liu, and Cameron Dale. 2013. Understanding the characteristics of internet short video sharing: A youtube-based measurement study. IEEE Trans. Multimedia 15, 5, 1184--1194. Google Scholar
Digital Library
- CISCO. 2013. Cisco visual networking index: Global mobile data traffic forecast update, 2012--2017. (Feb. 2013). http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html.Google Scholar
- Shuo Deng and Hari Balakrishnan. 2012. Traffic-aware techniques to reduce 3g/lte wireless energy consumption. In Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies (CoNEXT'12). ACM Press, New York, 181--192. Google Scholar
Digital Library
- Hossein Falaki, Dimitrios Lymberopoulos, Ratul Mahajan, Srikanth Kandula, and Deborah Estrin. 2010. A first look at traffic on smartphones. In Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement (IMC'10). ACM Press, New York, 281--287. Google Scholar
Digital Library
- Alessandro Finamore, Marco Mellia, Maurizio M. Munafo, Ruben Torres, and Sanjay G. Rao. 2011. YouTube everywhere: Impact of device and infrastructure synergies on user experience. In Proceedings of the ACM SIGCOMM Conference on Internet Measurement (IMC'11). ACM Press, New York, 345--360. Google Scholar
Digital Library
- Lei Guo, Enhua Tan, Songqing Chen, Zhen Xiao, Oliver Spatscheck, and Xiaodong Zhang. 2006. Delving into internet streaming media delivery: A quality and resource utilization perspective. In Proceedings of the 6th ACM SIGCOMM Conference on Internet Measurement (IMC'06). ACM Press, New York, 217--230. Google Scholar
Digital Library
- Mohammad A. Hoque, Matti Siekkinen, and Jukka K. Nurminen. 2011. On the energy efficiency of proxy-based traffic shaping for mobile audio streaming. In Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC'11). 891--895.Google Scholar
- Mohammad A. Hoque, Matti Siekkinen, and Jukka K. Nurminen. 2012. Energy efficient multimedia streaming to mobile devices -- A survey. IEEE Comm. Surv. Tutorials PP, 99, 1--19.Google Scholar
- Mohammad A. Hoque, Matti Siekkinen, Jukka K. Nurminen, and Mika Aalto. 2013a. Dissecting mobile video services: An energy consumption perspective. In Proceedings of the 14th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM'13).Google Scholar
Cross Ref
- Mohammad A. Hoque, Matti Siekkinen, and Jukka K. Nurminen. 2013b. TCP receive buffer aware wireless multimedia streaming -- An energy efficient approach. In Proceedings of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'13). ACM Press, New York, 13--18. Google Scholar
Digital Library
- Te-Yuan Huang, Nikhil Handigol, Brandon Heller, Nick McKeown, and Ramesh Johari. 2012. Confused, timid, and unstable: Picking a video streaming rate is hard. In Proceedings of the ACM Conference on Internet Measurement Conference (IMC'12). ACM Press, New York, 225--238. Google Scholar
Digital Library
- K. W. Hwang, David Applegate, Aaron Archer, Vijay Gopalakrishnan, Seungjoon Lee, V. Misra, Kadangode K. Ramakrishnan, and Deborah F. Swayne. 2012. Leveraging video viewing patterns for optimal content placement. In Proceedings of the 11th International IFIP TC 6 Conference on Networking (IFIP'12), vol. part 2. Springer, 44--58. Google Scholar
Digital Library
- Jari Korhonen and Ye Wang. 2005. Power-efficient streaming for mobile terminals. In Proceedings of the International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'05). ACM Press, New York, 39--44. Google Scholar
Digital Library
- Stefan Lederer, Christopher Muller, and Christian Timmerer. 2012. Dynamic adaptive streaming over HTTP dataset. In Proceedings of the 3rd Multimedia Systems Conference (MMSys'12). ACM Press, New York, 89--94. Google Scholar
Digital Library
- Chi-Chen Lee, Jui-Hung Yeh, and Jyh-Cheng Chen. 2004. Impact of inactivity timer on energy consumption in wcdma and cdma2000. In Proceedings of the IEEE Wireless Telecommunications Symposium. 15--24.Google Scholar
- Xin Li, Mian Dong, Zhan Ma, and Felix Fernandes. 2012. GreenTube: Power optimization for mobile video streaming via dynamic cache management. In Proceedings of the 20th ACM International Conference on Multimedia (MM'12). ACM Press, New York. Google Scholar
Digital Library
- Jiayang Liu and Lin Zhong. 2008. Micro power management of active 802.11 interfaces. In Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (MobiSys'08). ACM Press, New York, 146--159. Google Scholar
Digital Library
- LLC Signals Research Group. 2010. Smartphones and a 3g network: Reducing the impact of smartphone-generated signaling traffic while increasing the battery life of the phone through the use of network optimization techniques. Tech. rep. http://www.nokiasiemensnetworks.com/system/files/document/Signals_Ahead_Executive_Summary_100614.pdf.Google Scholar
- NSN. 2011. Understanding smartphone behavior in the network. White paper, Nokia Siemens Networks.Google Scholar
- Irena Prochkova, Varun Singh, and Jukka K. Nurminen. 2012. Energy cost of advertisements in mobile games on the android platform. In Proceedings of the 6th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST'12). IEEE Computer Society, 147--152. Google Scholar
Digital Library
- Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoqing Mao, Subhabrata Sen, and Oliver Spatscheck. 2011. Profiling resource usage for mobile applications: A cross-layer approach. In Proceedings of the 9th International Conference on Mobilesystems, Applications, and Services (MobiSys'11). ACM Press, New York, 321--334. Google Scholar
Digital Library
- Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoqing Morley Mao, Subhabrata Sen, and Oliver Spatscheck. 2010a. Characterizing radio resource allocation for 3g networks. In Proceedings of the 10th Annual Conference on Internet Measurement (IMC'10). ACM Press, New York, 137--150. Google Scholar
Digital Library
- Feng Qian, Zhaoguang Wang, Alexandre Gerber, Z. Morley Mao, Subhabrata Sen, and Oliver Spatscheck. 2010b. TOP: Tail optimization protocol for cellular radio resource allocation. In Proceedings of the 18th IEEE International Conference on Network Protocols (ICNP'10). IEEE Computer Society, 285--294. Google Scholar
Digital Library
- Matti Siekkinen, Mohammad Hoque, Jukka K. Nurminen, and Mika Aalto. 2013. Streaming over 3g and lte: How to save smartphone energy in radio access network-friendly way. In Proceedings of the 5th ACM Workshop on Mobile Video (MoVid'13). 13--18. Google Scholar
Digital Library
- Thomas Stockhammer. 2011. Dynamic adaptive streaming over http -- Standards and design principles. In Proceedings of the 2nd Annual ACM Conference on Multimedia Systems (MMSys'11). ACM Press, New York, 133--144. Google Scholar
Digital Library
- Enhua Tan, Lei Guo, Songqing Chen, and Xiaodong Zhang. 2007. PSM-throttling: Minimizing energy consumption for bulkdata communications in wlans. In Proceedings of the IEEE International Conference on Network Protocols (ICNP'07). 123--132.Google Scholar
Cross Ref
- Anna Ukhanova, Evgeny Belyaev, Le Wang, and Søren Forchhammer. 2012. Power consumption analysis of constant bit rate video transmission over 3g networks. Comput. Comm. 35, 14, 1695--1706. Google Scholar
Digital Library
- Bing Wang, Jim Kurose, Prashant Shenoy, and Don Towsley. 2008. Multimedia streaming via tcp: An analytic performance study. ACM Trans. Multimedia Comput. Comm. Appl. 4, 2. Google Scholar
Digital Library
- WonderShaper. 2013. WonderShaper. http://lartc.org/wondershaper.Google Scholar
- Yu Xiao, Ramya S. Kalyanaraman, and Antti Yla-Jaaski. 2008. Energy consumption of mobile youtube: Quantitative measurement and analysis. In Proceedings of the 2nd International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST'08). 61--69. Google Scholar
Digital Library
- Yu Xiao, Petri Savolainen, Arto Karppanen, Matti Siekkinen, and Antti Yla-Jaaski. 2010. Practical power modeling of data transmission over 802.11g for wireless applications. In Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking (e-Energy'10). ACM Press, New York, 75--84. Google Scholar
Digital Library
- Haijin Yan, Scott A. Watterson, David K. Lowenthal, Kang Li, Rupa Krishnan, and Larry L. Peterson. 2006. Client-centered, energy-efficient wireless communication on ieee 802.11b networks. IEEE Trans. Mobile Comput. 5, 11, 1575--1590. Google Scholar
Digital Library
- YouTube. 2013. YouTube statistics. http://www.youtube.com/yt/press/statistics.html/.Google Scholar
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Saving Energy in Mobile Devices for On-Demand Multimedia Streaming -- A Cross-Layer Approach
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