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Time-And-Energy-Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds

Author(s):

Snehal Agao , PVPIT, College of Engineering , Pune, Maharashtra; Ms. S. V. Bodake, PVPIT, College of Engineering , Pune, Maharashtra.

Keywords:

Computation Offloading; Cloud Computing; TDM (Ternary Decision-Making); Energy; Response Time

Abstract

Now a days Mobile and cloud are the most important and well known technologies that are well adapted by the society. Effectiveness in energy and time is a key consideration for smartphones or mobile devices. Managing multiple applications on smart phones can hamper its performance as well as shortened battery life. Cloud computing is capable to preserve mobile device's energy by using the concept of computation offloading. Offloading computation by the cloud has become an optimistic solution to enhance performance as well as battery life of mobile phones. It can consume the energy as well as the time to upload the data on the cloud and retrieve its results from the cloud as well. This study explores the different approach for offloading and methods for partitioning the application.

Other Details

Paper ID: IJSRDV6I80369
Published in: Volume : 6, Issue : 8
Publication Date: 01/11/2018
Page(s): 610-612

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