Improving Processing Time of Big Data Analytic on Mobile Cloud Computing

Abstract

The growth of big data is a result of the variety of data through user generated data from many devices. Today, big data analytics, extracting data knowledge from large datasets, is shifted from personal desktop computer to mobile devices because of its anywhere-anytime access facilities. Nevertheless, mobile devices still have many resources limitations. Mobile cloud computing is a best solution for these problems, because it can support infinite computing power for mobile devices. This paper proposes a new big data analytic platform on mobile cloud computing with efficient processing time. In proposed platform, RESTful web service technology and MapReduce Transformation Model are applied to produce high query processing performance with seamless connectivity. To reduce the communication cost between web service and mobile device, we use JSON format output result. According to the results, we conclude that the communication cost of proposed platform is better than traditional way.