Mobile Big Data: Foundations, State of the Art, and Future Directions

Emerging ubiquitous mobile services and applications have unveiled the Mobile Big Data era in which the large volumes of data derived from mobile Internet traffics become valuable sources to support various personal and public services such as personal recommendation services, spatiotemporal event detection, social behavior analytics, network resource planning, and many more. While data scientists are aware of the value of Mobile Big Data, they also need to understand the challenges involved. In general, Mobile Big Data derives from different sources, including the mobile application services, the network services, and the mobile devices themselves. The heterogeneous data sources and the data acquisition paths can influence the quality of data and can further influence the overall performance of the big data services. In order to address the major research trends, this chapter provides a state-of-the-art discussion of concept, management technology, and challenges in Mobile Big Data.