DATE is pleased to present a special hybrid format for its 2022 event, as the situation related to COVID-19 is improving but safety measures and restrictions will remain uncertain for the upcoming months across Europe and worldwide. In transition towards a future post-pandemic event again, DATE 2022 will host a two-day live event in presence in the city of Antwerp (just north of Brussels in Belgium), to bring the community together again, followed by other activities carried out entirely online in the subsequent days. This setup combines the in-presence experience with the opportunities of on-line activities, fostering the networking and social interactions around an interesting program of selected talks and panels on emerging topics to complement the traditional DATE high-quality scientific, technical and educational activities.

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

ELASTIC
Contact Person
Eduardo Quiñones
Location

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

http://www.elastic-project.eu/

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