Time and Energy Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds
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Description
Mobile computing has been an emerging field for many years. A prototype for Mobile computing called Mobile Cloud Computing has evolved from the fusion of robust and potent, yet economically affordable mobile gadgets and cloud computing. The primary goal of this paper is to study prevailing mobile cloud computing applications. Smartphones have gained enormous popularity over the past few years. Smartphones are now capable of supporting a wide range of applications, many of which demand an ever increasing computational power. Running complex Applications on smart phones could result in poor performance and shortened battery life because of their limited resources. The current MCC systems rely heavily on Computation Offloading, which however incurs new problems such as scalability of the cloud, privacy concerns due to storing personal information on the cloud, and high energy consumption on the cloud data centers. Using cloud services in portable devices like smart phones and other hand held devices which results poor performance and shortened battery life time. So the system propose an offloading computation workload to the cloud. It is a promising solution to enhance both performance and battery life of smart phones. Also We Propose a lossless data transmission in the cloud storage by reduce the overhead in collecting the parameter of the band width. Each data’s send over the cloud is separated as a packets based on the corresponding network bandwidth. Then the data will be send over the cloud network it will be reduce the packet overhead. By implementing offloading and Removing Unwanted Process can improve the smart phone process speed it will be reduces delay of cloud services and also improves battery performance.
Tags: 2015, Android, cloud computing