DocumentCode :
3601292
Title :
AppATP: An Energy Conserving Adaptive Mobile-Cloud Transmission Protocol
Author :
Fangming Liu ; Peng Shu ; Lui, John C. S.
Author_Institution :
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
64
Issue :
11
fYear :
2015
Firstpage :
3051
Lastpage :
3063
Abstract :
Many mobile applications require frequent wireless transmissions between the content provider and mobile devices, consuming much energy in mobile devices. Motivated by the popularity of prefetch-friendly or delay-tolerant apps (e.g., social networking, app updates, cloud storage), we design and implement an application-layer transmission protocol, AppATP, which leverages cloud computing to manage data transmissions for mobile apps, transferring data to and from mobile devices in an energy efficient manner. Measurements show that significantly amount of energy is consumed by mobile devices during poor connectivity. Based on this observation, AppATP adaptively seizes periods of good bandwidth condition to prefetch frequently used data with minimum energy consumption, while deferring delay-tolerant data during poor network connectivity. Using the stochastic control framework, AppATP only relies on the current network information and data queue sizes to make an online decision on transmission scheduling, and performs well under unpredictable wireless network conditions. We implement AppATP on Samsung Note 2 smartphones and Amazon EC2. Results from both trace-driven simulations and extensive real-world experiments show that AppATP can be applied to a variety of application scenarios while achieving 30-50 percent energy savings for mobile devices.
Keywords :
cloud computing; data communication; delay tolerant networks; energy conservation; mobile computing; power aware computing; protocols; radio networks; smart phones; stochastic systems; telecommunication scheduling; Amazon EC2; AppATP; Samsung Note 2 smartphone; application layer transmission protocol; bandwidth condition; cloud computing; content provider; data transfer; data transmission management; decision making; delay tolerant data; energy conserving adaptive mobile-cloud transmission protocol; energy consumption; energy saving; mobile application; mobile device; stochastic control; trace driven simulation; transmission scheduling; unpredictable wireless network condition; wireless transmission; Bandwidth; Data communication; Energy consumption; IEEE 802.11 Standards; Mobile communication; Mobile handsets; Prefetching; Mobile cloud computing; energy efficiency; stochastic optimization; transmission management;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2015.2401032
Filename :
7034998
Link To Document :
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