Coordinating Edge and Cloud for Big Data Analytics
We work to develop a novel software architecture to help big data developers to combine data-in-motion and data-at-rest analysis.
CLASS will develop a software architecture to design, deploy and execute distributed big data analytics with real-time constraints.
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Featuring a heavy sensor infrastructure to collect and process in real-time a vast amount of data across a wide urban area.
Connected cars equipped with heterogeneous sensors/actuators and V2X connectivity to enhance the driving experience and preparing the technological background for the advent of autonomous vehicles.
Deploying advance urban mobility applications based on a combination of data-in-motion and data-at-rest analytics to efficiently coordinate car and city computing resources.