An Efficient Big Data Analytics Platform for Mobile Devices

Big data analytics technologies are to extract value from very large data volume, variety of data, and highly rate of data stream. With the fast deployment of cloud services with mobile devices, big data analytics is shifting from personal computer to mobile devices. But, significant limitations of mobile devices are less storage amount and processing power. This paper proposes a big data analytic platform on mobile cloud computing with efficient query execution time by developing MapReduce Transformation Process and query operation based on input query's complexity level. Furthermore, this paper presents the process of RESTful web service for providing seamless connectivity between mobile devices and cloud storage, where store the data and all of necessary processing steps are done by cloud backend. This proposed platform is evaluated by using Census dataset and compared the result with other traditional high level query languages, such as Pig, Hive, and Jaql.