Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud

July 2016
Vol-2, Issue-4
Paper ID: 2909
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Mobile Computing Cloud Computing Smartphones Offloading Decision Energy Saving Battery Level RAM CPU Uses File Size and Network Type.
Abstract
Over the last couple of years, the number of smartphones and devices (i.e., smartphones tablets,laptops) has become popular among people, more than other computing devices. Mobile phones became standard among individuals, and their range is ever growing due to the computing practicality they have over on the far side primary speech communication. However these devices have limited resources, like restricted battery life, space for storage, and processor performance. To beat these limitations task offloading from smartphones and devices to cloud could be a trustable practice to uphold the computing power of smartphones and save their battery life. However, task offloading introduces a communication energy required for those devices. To create task offloading beneficial, challenge is to totalize the energy needed in communication activities of task offloading. Actual energy estimation considering different parameters of smartphone can promote these devices to create the proper choices on whether or not to perform task offloading instead, supported the energy needed for the communication activities. Only if the offloading procedure consumes less power than processing the task on the phone itself, then the task is offloaded to the cloud. To perform efficient offloading practice, we have a presumption of actual and current configuration parameters like Battery power level, RAM, CPU Uses, File Size and Network Type(WLAN,3G,4G) and its uploading downloading speed of smartphones as well as devices. Parameters make smartphones capable of effectively estimating the energy rate of task offloading.

Author Information

# Name Institute / Affiliation
1 Rahul M. Shelke PREC, Loni
2 Prof. S.K. Korde PREC, Loni

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shelke, Rahul M. & Korde, Prof. S.K. (2016). Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud. International Journal of Advance Research and Innovative Ideas In Education, 2(4), 496-502.
MLA Style
Shelke, Rahul M., and Prof. S.K. Korde. "Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 4, 2016, pp. 496-502.
IEEE Style
Rahul M. Shelke and Prof. S.K. Korde, "Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 4, pp. 496-502, 2016.
Vancouver Style
Shelke Rahul M., Korde Prof. S.K.. Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(4):496-502.
Harvard Style
Shelke, Rahul M. & Korde, Prof. S.K. (2016) 'Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud', International Journal of Advance Research and Innovative Ideas In Education, 2(4), pp. 496-502.
Chicago Style
Shelke, Rahul M. and Prof. S.K. Korde. "Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud." International Journal of Advance Research and Innovative Ideas In Education 2, no. 4 (2016): 496-502.
Turabian Style
Shelke, Rahul M. and Prof. S.K. Korde. "Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud." International Journal of Advance Research and Innovative Ideas In Education 2, no. 4 (2016): 496-502.

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