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In spite of major advances in a mobile cloud computing, applications are still very limited due to poor computation processing power, memory and limited battery life of a mobile device. Recently, offloading computation intensive task to the cloud has become a great solution to improve both battery life and performance of mobile devices. Offloading makes use of quality of services concept to remove mobile application limitations. This paper covers overview, frameworks and challenges of computation offloading.

Abstract:The system is being designed in such a way that the E-banking portal is being used by the user to do the multiple transactions on the system, as the bank application works.Tha Data being collated is being stored onto Hadoop as storage as well as for Analytics using MapReduce. Huge data is being collated all the predictive results has been acquired using hadoop. In this context, the ability to apply promising state-of-the-art big data technologies to extract the maximum value from the vast amounts of the data generated is generating a lot of interest in the financial services industry. The main motivation of the system is to permit advanced trace information analysis, the unreal cloud design ought to accommodate the access to capricious sets of the trace information.

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