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Computational Offloading in Android Devices Using Cloud Computing Capabilities

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Mobile devices have witnessed several stages as phone adoption has increased rapidly across the globe, with the results that the manipulations of smartphones are increasing thrice compared to Personal Computers. The recent developments in smartphone technology have led users into a new way of mobile computing. Portable communication devices such as smartphones and other hand held devices have replaced the existing computing technology. Smart mobile devices are equipped with low processing capacity computing processors and limited power batteries as compared to computers, which instead have a high-level hardware configuration. Hence it becomes onerous to execute any applications on these compact devices, resulting in a performance lacking and high power consumption. The offloading computation mechanism proves out to be an uncompromisable solution to this situation, which may result in high performance efficiency and improved battery life in these devices. As this solution involves cloud computing, hence uploading data to cloud service engines and retrieving back the results come out to be a time and energy-consuming factor. Therefore, this investigation tries to put its focus on the behavior of time and energy consumption in mobile devices by using Computation offloading mechanism and by implementing a decision-making framework termed as Ternary decision maker, which can outcome the above factor.
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TDM (Ternary Decision-Making); Smart Phone; Offloading; Coprocessor; Mobile Cloud Computing; Android

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