Coordinating Edge and Cloud for Big Data Analytics

 

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Cloud Computing QoS for Real-Time Data Applications

CLASS will develop a software architecture to design, deploy and execute distributed big data analytics with real-time constraints.

The capabilities of the CLASS framework will be demonstrated on a real smart-city use case

1

Featuring a heavy sensor infrastructure to collect and process in real-time a vast amount of data across a wide urban area.

2

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.

3

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.