Descrizione del progetto
Dalla nuvola alla nebbia: una visione più chiara del nostro futuro interconnesso
Il traffico di dati continua ad aumentare drasticamente, facendo emergere la necessità di sistemi sempre più efficienti, sicuri e affidabili con consumi ridotti per trasmettere dati a grandi distanze con un’elevata risoluzione temporale. Oltre alle telecomunicazioni, la transizione all’Internet delle cose e all’industria 4.0 porta con sé applicazioni di cloud computing che saranno necessarie per gestire scenari che vanno dalle operazioni di impianti robotizzati alle auto con guida autonoma di importanza critica. Il progetto ELASTIC, finanziato dall’UE, sta sviluppando un’architettura di sistema basata sul fog computing, posizionando le risorse più vicino a dove sono necessarie ai margini della rete. La nuova architettura sarà pronta a gestire i requisiti sempre più stringenti, orchestrando in modo efficiente le risorse per soddisfare le richieste di dati, ottimizzando al contempo l’efficienza energetica, la sicurezza e l’integrità dei dati.
Obiettivo
Big data is nowadays being integrated in systems requiring to process a vast amount of information from (geographically) distributed data sources, while fulfilling the non-functional properties (real-time, energy-efficiency, communication quality and security) inherited from the domain in which analytics are applied. Examples include smart cities or smart manufacturing domains.
ELASTIC will develop a novel software architecture (SA) to help system designers to address this challenge. The SA will incorporate a novel elasticity concept to distribute and orchestrate the resources across the compute continuum (from edge to cloud) in an innovative fog computing environment. The new elasticity concept will enable to match analytics workload demands and fulfilling non-functional properties. The fog computing architecture will incorporate energy-efficient parallel architectures, combined with innovative distributed storage, secure communications and advanced cloud solutions. Overall, the SA will enable the combination of reactive data-in-motion and latent data-at-rest analytics into a single extreme-scale analytics solution, in which the analytics workloads will be efficiently distributed across the compute continuum based on their suitability and data processing needs.
The capabilities of ELASTIC will be demonstrated on a real smart-mobility use case, featuring a heavy sensor infrastructure to collect data across the Florence tramway network, equipped with advanced embedded architectures, heterogeneous sensors, V2I connectivity and access to cloud resources. Representative applications for advanced driving assistant systems, predictive maintenance and public/private transport interaction, have been selected to efficiently process very large heterogeneous data streams from distributed sensors.
ELASTIC technology will enable the development of innovative mobility services while preparing the technological background for the advent of full autonomous mobility systems.
Campo scientifico
- engineering and technologycivil engineeringurban engineeringsmart cities
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesdata sciencedata processing
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
08034 Barcelona
Spagna