A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTing ECosystems (ELASTIC)

Horizon 2020 grant agreement Nº 825473

ELASTIC has the three main objectives:

  • ELASTIC develops a software architecture incorporating a new elasticity concept, that will enable smart systems to satisfy the performance requirements of extreme-scale analytics workloads. The new elasticity concept will efficiently distribute the workloads across the compute continuum, whilst guaranteeing real-time, energy, communication quality and security non-function properties inherited from the system domain.
     
  • The vision of ELASTIC is that by extending the elasticity concept across the compute continuum in a fog computing environment, combined with the usage of advanced hardware architectures at the edge side, can significantly increase the capabilities of the extreme-scale analytics integrating both responsive data-in-motion and latent data-at-rest analytics into a single solution.
     
  • ELASTIC considers a realistic yet visionary smart mobility use-case, which  elaborates of huge amounts of data coming from a large set of IoT sensors distributed along the Florence tramway network. ELASTIC adopts a very innovative federated/distributed fog architecture, supporting elasticity across the compute continuum whilst fulfilling real-time, energy, communication and secure properties.

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

The participation of ISEP is led by the SoftCPS laboratory, being leader of WP4 (Non-Functional System Properties), working in the edge-cloud orchestration of computation considering the non-functional requirements of time and energy.

Website: https://elastic-project.eu/

Budget: 5.9 M€ (Total), 305 K€ (ISEP)

Period: December 2018 to May 2022

SoftCPS Responsible: Luis Miguel Pinho

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