Coordinating Edge and Cloud for Big Data Analytics

New article:

Using OpenWhisk as a Polyglot Real-Time Event-Driven Programming Model in CLASS

 

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 and V2X connectivity to enhance the driving experience by giving
further information about the urban environment.

3

Deploying advanced urban mobility applications based on a combination of data-in-motion and data-at-rest analytics to efficiently coordinate traffic-flow through city computing resources.