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Opendata, web and dolomites

CLASS SIGNED

Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS

Total Cost €

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EC-Contrib. €

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Partnership

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Outcomes and
results

CLASS project word cloud

Explore the words cloud of the CLASS project. It provides you a very rough idea of what is the project "CLASS" about.

prototype combine software continuum heavy separately compute time preparing larger class feedback aggregating computationally distributing equipped cars v2i rest domains distributed demonstrated analytics efficient collect energy nowadays architecture amount tackled services priorities continuous streams timing performance usually amounts heterogeneous driving featuring quick developers apparently flows intensive guarantees assistance city technological vehicles background vast platforms implies traffic extreme thorough motion conflicting architectures innovative complete complementary domain connectivity transparent incompatible possibly parallel autonomous mining infrastructure programming framework cluster reactive sound models urban representative big advent cloud edge sensors smart drivers sensor data designed adopting area actuators

Project "CLASS" data sheet

The following table provides information about the project.

Coordinator	BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION Organization address address: Calle Jordi Girona 31 city: BARCELONA postcode: 8034 website: www.bsc.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Spain [ES]
Project website	https://class-project.eu/
Total cost	3˙900˙802 €
EC max contribution	3˙900˙802 € (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-2017-1
Funding Scheme	RIA
Starting year	2018
Duration (year-month-day)	from 2018-01-01 to 2020-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION Organization address address: Calle Jordi Girona 31 city: BARCELONA postcode: 8034 website: www.bsc.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (BARCELONA)	coordinator	747˙875.00
2	IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD Organization address address: 94 DERECH EM-HAMOSHAVOT city: PETACH TIKVA postcode: 49527 website: www.haifa.il.ibm.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IL (PETACH TIKVA)	participant	973˙190.00
3	MASERATI SPA MASERATI SPA Organization address address: VIA CIRO MENOTTI 322 city: MODENA postcode: 41121 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (MODENA)	participant	575˙655.00
4	COMUNE DI MODENA COMUNE DI MODENA Organization address address: VIA SCUDARI 20 city: MODENA postcode: 41121 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (MODENA)	participant	558˙375.00
5	ATOS SPAIN SA ATOS SPAIN SA Organization address address: CALLE DE ALBARRACIN 25 city: MADRID postcode: 28037 website: www.atos.net contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	553˙541.00
6	UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA Organization address address: VIA UNIVERSITA 4 city: MODENA postcode: 41121 website: www.unimore.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (MODENA)	participant	492˙166.00

Map

Project objective

Big data applications processing extreme amounts of complex data are nowadays being integrated with even more challenging requirements such as the need of continuously processing vast amount of information in real-time. Current data analytics systems are usually designed following two conflicting priorities to provide (i) a quick and reactive response (referred to as data-in-motion analysis), possibly in real-time based on continuous data flows; or (ii) a thorough and more computationally intensive feedback (referred to as data-at-rest analysis), which typically implies aggregating more information into larger models. Given the apparently incompatible requirements, these approaches have been tackled separately although they provide complementary capabilities. CLASS aims to develop a novel software architecture to help big data developers to combine data-in-motion and data-at-rest analysis by efficiently distributing data and process mining along the compute continuum (from edge to cloud) in a complete and transparent way, while providing sound real-time guarantees. CLASS aims at adopting (1) innovative distributed architectures from the high-performance domain; (2) timing analysis methods and energy-efficient parallel architectures from the embedded domain; and (3) data analytics platforms and programming models from the big-data domain. The capabilities of the CLASS framework will be demonstrated on a real smart-city use case, featuring a heavy sensor infrastructure to collect real-time data across a wide urban area, and prototype cars equipped with heterogeneous sensors/actuators, V2I connectivity, and cluster support to present the innovative capabilities to drivers. Representative applications for traffic management and advanced driving assistance domains have been selected to efficiently process very large heterogeneous data streams in real-time, providing innovative services while preparing the technological background for the advent of autonomous vehicles

Deliverables

List of deliverables.
Communication and Dissemination Plan	Documents, reports	2019-11-26 15:02:54
First release of the real-time analysis methods and tools on the edge	Demonstrators, pilots, prototypes	2019-11-26 15:02:53
Data Management Plan (DMP)	Open Research Data Pilot	2019-11-26 15:02:56
First release of the Cloud Data Analytics Service Scalability components	Demonstrators, pilots, prototypes	2019-11-26 15:02:54
Advanced multi-workload/multi-tenant performance evaluation tool for big data services	Demonstrators, pilots, prototypes	2019-11-26 15:02:53
Initial communication and dissemination report	Documents, reports	2019-11-26 15:02:55

Take a look to the deliverables list in detail: detailed list of CLASS deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CLASS" project.

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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "CLASS" are provided by the European Opendata Portal: CORDIS opendata.

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