Mobile cloud analytics in Big data era

Abstract

Voluminous data are generated from a variety of users and devices and are to be stored and processed in powerful data center. As such, there is a strong demand for building a network infrastructure to gather distributed and rapidly generated data and move them to data center for knowledge discovery. Big data has received considerable attention, because it can mine new knowledge for economic growth and technical innovation. Many research efforts have been directed to big data processing due to its high volume, velocity and variety, referred to as 3V. This paper first describes challenges for big data together with basic Map Reduce structure. Then it presents existing approaches for big data analytics including general architecture. The second part establishes the relation between mobile cloud and big data and provides geo-dispersed big data application, including big data in mobile cloud sensing. Some open research questions that need to be investigate conclude this work.