A system for monitoring and visualization of big mobility data

Efficient real-time monitoring and tracking of mobile objects has recently been a focus of a relatively intense research. Mobile objects produce a huge volume of mobility data arriving in the form of continuous data streams that need to be processed, analyzed and visualized in different information flow processing (IFP) applications. In most cases, this visualization is concerned about redrawing mobile objects locations that represent the result of a continuous query on the map. In this paper, we present a system architecture that enables you to write, construct and pose continuous query in our MobyDick framework prototype for processing big mobility data as spatio-temporal data streams in a cluster computing and to visualize their results on the map. System components are based on the Scala programming language and open source software tools for connection and communication with Apache Flink stream processor which is core of our framework prototype. The system is intended for experienced users familiar with Apache Flink paradigm as well for the beginners who can construct queries from their portions and visualize current locations and trajectories of mobile objects on the map.