DocumentCode :
121089
Title :
Mirroring Mobile Phone in the Clouds
Author :
Bin Ye ; Wang, Frank Z. ; Ling Li ; Na Helian ; Dimitrakos, Theo
Author_Institution :
Sch. of Comput., Univ. of Kent, Canterbury, UK
fYear :
2014
fDate :
June 27 2014-July 2 2014
Firstpage :
140
Lastpage :
146
Abstract :
This paper presents a framework of Mirroring Mobile Phone in the Clouds (MMPC) to speed up data/computing intensive applications on a mobile phone by taking full advantage of the super computing power of the clouds. An application on the mobile phone is dynamically partitioned in such a way that the heavy-weighted part is always running on a mirrored server in the clouds while the light-weighted part remains on the mobile phone. A performance improvement (an energy consumption reduction of 70% and a speed-up of 15x) is achieved at the cost of the communication overhead between the mobile phone and the clouds (to transfer the application codes and intermediate results) of a desired application. Our original contributions include a dynamic profiler and a dynamic partitioning algorithm compared with traditional approaches of either statically partitioning a mobile application or modifying a mobile application to support the required partitioning.
Keywords :
cloud computing; energy consumption; mobile handsets; clouds; computing intensive applications; data intensive applications; dynamic partitioning algorithm; dynamic profiler; energy consumption reduction; mirrored server; mobile phone; Algorithm design and analysis; Energy consumption; Mobile communication; Partitioning algorithms; Servers; Smart phones; Big Data; Cloud computing; Green Computing; Mobile Service; Virtual Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Services (MS), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5059-1
Type :
conf
DOI :
10.1109/MobServ.2014.28
Filename :
6924305
Link To Document :
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