Cloud Android Imager

Smart-phones have become a necessity for our daily life because they empower people with wide-range of applications and utility. New smart-phone technology like Apple iPhone and Google Android phones allowed the developers to design and develop applications which were previously unmanageable. Even though these phones are equipped with high-speed processor, RAM and a wide range of sensors which can be used for internet, gaming and other multimedia applications and multitasking. Most mid-configured android phones lag while running a 3D game or a similar application because the local resources are not sufficient to completely bear the load of application. In most cases running such applications even drains the battery very fast. A promising solution to this problem is computation offload. If an application (considering image processing android based application) on a smart-phone requires some intensive computation, which intern require large portion of the resources reserved, it makes sense to shift the load of image processing to some remote-severs. Cloud computing allows new services to roll out with a minimal fixed investment and a usage-proportional operational cost. In this project we present a simple implementation of computation offload for image-processing based android application which divides the computations into light-weight and heavy-weight, where the light-weight computations are processed using the local resources of the phone and the heavy-weight computations are offloaded to a cloud server. The result of the computation offloaded from phone is retrived from the cloud server and is combined with the results of the local computations (light-weight computations) to deliver the final result of overall computation.`