ELASTIC SIGNED
A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems
Total Cost €
0EC-Contrib. €
0Partnership
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0ELASTIC project word cloud
Explore the words cloud of the ELASTIC project. It provides you a very rough idea of what is the project "ELASTIC" about.
Project "ELASTIC" data sheet
The following table provides information about the project.
| Coordinator |
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Total cost | 5˙920˙581 € |
| EC max contribution | 5˙920˙581 € (100%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2018-2 |
| Funding Scheme | RIA |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-12-01 to 2021-11-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION | ES (BARCELONA) | coordinator | 972˙000.00 |
| 2 | Thales Italia spa | IT (SESTO FIORENTINO) | participant | 921˙875.00 |
| 3 | SIXSQ SARL | CH (GENEVE) | participant | 782˙331.00 |
| 4 | INFORMATION CATALYST FOR ENTERPRISE LTD | UK (NORTHWICH CHESHIRE) | participant | 750˙000.00 |
| 5 | GESTIONE ED ESERIZIO DEL SISTEMA TRANVIARIO SPA | IT (SCANDICCI) | participant | 715˙625.00 |
| 6 | IKERLAN S. COOP | ES (MONDRAGON) | participant | 598˙125.00 |
| 7 | THALES SA | FR (COURBEVOIE) | participant | 553˙750.00 |
| 8 | CITTA METROPOLITANA DI FIRENZE | IT (FIRENZE) | participant | 321˙875.00 |
| 9 | INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO | PT (PORTO) | participant | 305˙000.00 |
Map
Project objective
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.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Goiuri Peralta, Raul G. Cid-Fuentes, Josu Bilbao, Pedro M. Crespo Homomorphic Encryption and Network Coding in IoT Architectures: Advantages and Future Challenges published pages: 827, ISSN: 2079-9292, DOI: 10.3390/electronics8080827 |
Electronics 8/8 | 2020-02-06 |
| 2019 |
Goiuri Peralta, Pablo Garrido, Josu Bilbao, Ramón Agüero, Pedro M. Crespo Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility published pages: 102034, ISSN: 1569-190X, DOI: 10.1016/j.simpat.2019.102034 |
Simulation Modelling Practice and Theory | 2020-02-05 |
| 2019 |
Goiuri Peralta, Pablo Garrido, Josu Bilbao, Ramón Agüero, Pedro Crespo On the Combination of Multi-Cloud and Network Coding for Cost-Efficient Storage in Industrial Applications published pages: 1673, ISSN: 1424-8220, DOI: 10.3390/s19071673 |
Sensors 19/7 | 2020-02-05 |
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