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

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

Call for proposal

H2020-ICT-2016-2017

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Sub call

H2020-ICT-2017-1

Coordinator

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Net EU contribution
€ 761 625,00
Address
Calle Jordi Girona 31
08034 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Other funding
€ 0,00

Participants (8)

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA
Italy
Net EU contribution
€ 505 916,25
Address
Via Universita 4
41121 Modena

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Region
Nord-Est Emilia-Romagna Modena
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
Israel
Net EU contribution
€ 980 690,00
Address
94 Derech Em-hamoshavot
49527 Petach Tikva

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
ATOS SPAIN SA
Spain
Net EU contribution
€ 444 079,44
Address
Calle De Albarracin 25
28037 Madrid

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
Third-party

Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.

ATOS CONSULTING CANARIAS SA UNIPERSONAL
Spain
Net EU contribution
€ 38 191,36
Address
Calle Paseo Tomas Morales 85, Planta 1
35004 Las Palmas De Gran Canaria

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Region
Canarias Canarias Gran Canaria
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
Third-party

Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.

ATOS IT SOLUTIONS AND SERVICES IBERIA SL
Spain
Net EU contribution
€ 78 770,45
Address
Ronda De Europa 5
28760 Tres Cantos Madrid

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
COMUNE DI MODENA
Italy
Net EU contribution
€ 572 125,00
Address
Via Scudari 20
41121 Modena

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Region
Nord-Est Emilia-Romagna Modena
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Other funding
€ 0,00
MASERATI SPA
Italy
Net EU contribution
€ 469 105,00
Address
Via Ciro Menotti 322
41121 Modena

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Region
Nord-Est Emilia-Romagna Modena
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
Third-party

Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.

CENTRO RICERCHE FIAT SCPA
Italy
Net EU contribution
€ 50 300,00
Address
Strada Torino 50
10043 Orbassano

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Region
Nord-Ovest Piemonte Torino
Activity type
Research Organisations
Other funding
€ 0,00