Opendata, web and dolomites

CLASS SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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 ES (BARCELONA) coordinator 747˙875.00
2    IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IL (PETACH TIKVA) participant 973˙190.00
3    MASERATI SPA IT (MODENA) participant 575˙655.00
4    COMUNE DI MODENA IT (MODENA) participant 558˙375.00
5    ATOS SPAIN SA ES (MADRID) participant 553˙541.00
6    UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA 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.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

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.

More projects from the same programme (H2020-EU.2.1.1.)

ACCORDION (2020)

Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications

Read More  

XEUROPE (2020)

X-Europe

Read More  

CloudButton (2019)

Serverless Data Analytics Platform

Read More