Mirroring Mobile Phone in the Clouds

Bin Ye; Frank Zhigang Wang; Ling Li; Na Helian; Theo Dimitrakos

doi:10.1109/MobServ.2014.28

Mirroring Mobile Phone in the Clouds

Bin Ye
, Frank Zhigang Wang
, Ling Li
, Na Helian
, Theo Dimitrakos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

33 Downloads (Pure)

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.

Original language	English
Title of host publication	2014 IEEE International Conference on Mobile Services
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	7
ISBN (Electronic)	9781479950607
DOIs	https://doi.org/10.1109/MobServ.2014.28
Publication status	Published - 16 Oct 2014
Event	IEEE International Conference on Mobile Services 2014 - Anchorage, United States Duration: 27 Jun 2014 → 2 Jul 2014

Conference

Conference	IEEE International Conference on Mobile Services 2014
Abbreviated title	MS 2014
Country/Territory	United States
City	Anchorage
Period	27/06/14 → 2/07/14

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10.1109/MobServ.2014.28

Cite this

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title = "Mirroring Mobile Phone in the Clouds",

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.",

author = "Bin Ye and Wang, \{Frank Zhigang\} and Ling Li and Na Helian and Theo Dimitrakos",

note = " {\textcopyright} 2014 IEEE. ; IEEE International Conference on Mobile Services 2014 , MS 2014 ; Conference date: 27-06-2014 Through 02-07-2014",

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doi = "10.1109/MobServ.2014.28",

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T1 - Mirroring Mobile Phone in the Clouds

AU - Ye, Bin

AU - Wang, Frank Zhigang

AU - Li, Ling

AU - Helian, Na

AU - Dimitrakos, Theo

PY - 2014/10/16

Y1 - 2014/10/16

N2 - 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.

AB - 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.

U2 - 10.1109/MobServ.2014.28

DO - 10.1109/MobServ.2014.28

M3 - Conference contribution

BT - 2014 IEEE International Conference on Mobile Services

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE International Conference on Mobile Services 2014

Y2 - 27 June 2014 through 2 July 2014

ER -

Mirroring Mobile Phone in the Clouds

Abstract

Conference

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