Taking into consideration the continued erratic development of the worldwide COVID-19 pandemic and the accompanying restrictions of worldwide travelling as well as the safety and health of the DATE community, the Organising Committees decided to host DATE 2021 as a virtual conference in early February 2021. Unfortunately, the current situation does not allow a face-to-face conference in Grenoble, France.

The Organising Committees are working intensively to create a virtual conference that gives as much of a real conference atmosphere as possible. Industry Partners will soon be informed about virtual exhibition and sponsorship opportunities.

Updated information will always be available on this page.

ELASTIC. A Software Architecture for Extreme-Scale Big-Data Analytics in Fog Computing Ecosystems

ELASTIC. A Software Architecture for Extreme-Scale Big-Data Analytics in Fog Computing Ecosystems
EP 2
Contact Person
Eduardo Quiñones

Barcelona Supercomputing Center (BSC)
Jordi Girona 29 (Nexus II Building)
08034 Barcelona Barcelona

ELASTIC will produce a novel software architecture to distribute resources from edge to cloud. The software includes the development of a new concept of elasticity, ensuring smooth performance across the compute continuum in an innovative fog-computing environment. The project aims to significantly increase the data analytics capabilities of extreme-scale big-data workloads, while fulfilling multiple non-functional requirements, including real time, energy efficiency, security and unstable communications. 

ELASTIC includes a smart-mobility use case, deploying a sensor network to collect the data from the tram network of Florence (Italy). The trams will feature advanced embedded architectures, V21 connectivity, heterogeneous sensors and access to cloud resources, improving public/private transport interaction and allowing the creation of advanced driving assistance applications.

The ELASTIC project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 825473