Due to the rapid growth of mobile usage and data storage, cloud computing plays a vital role to save mobile computing energy and storage. Large size applications or high resolution images may consume high battery power along with computing resources. High storage and computing energy may decrease the performance of the mobile. Traditional offloading algorithms are implemented in a single thread mechanism to offload a single source component from mobile to cloud or vice versa. Traditional Single thread offloading algorithms on the image based applications results poor performance. In this proposed approach, three-tier architecture is used to offload multiple mobile components from mobile to cloud. In this process, first tier is used to partition the mobile application source code for function mapping process; second tier is used to identify required execution tasks along with the source codes using weighted directed graph and in the third tier, an optimization process is applied to select required components within the task to offload into cloud.
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