Descripción del proyecto
Salir de las nubes y entrar en la niebla: una visión más clara de nuestro futuro interconectado
El tráfico de datos sigue aumentado drásticamente, lo que requiere unos sistemas cada vez más eficientes, seguros y fiables que consuman menos energía para transmitir datos a grandes distancias con una resolución temporal alta. Al margen de las telecomunicaciones, la transición al internet de las cosas y a la industria 4.0 trae consigo aplicaciones de computación en nube, que serán necesarias para trabajar en diferentes escenarios, desde la realización de operaciones en instalaciones robotizadas hasta el manejo de vehículos sin conductor de misión crítica. El proyecto ELASTIC, financiado con fondos europeos, está desarrollando una arquitectura de sistemas basada en la computación de niebla, lo que sitúa a los recursos más cerca del lugar donde son necesarios en el perímetro de la red. La nueva arquitectura estará lista para gestionar unos requisitos cada vez más estrictos, organizando los recursos de forma eficaz para satisfacer las demandas de datos mientras optimiza la eficacia energética, la seguridad y la integridad de los datos.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2018-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
08034 Barcelona
España