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INFORE SIGNED

Interactive Extreme-Scale Analytics and Forecasting

Total Cost €

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EC-Contrib. €

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Partnership

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 INFORE project word cloud

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

good    predict    price    massive    workflows    indicators    hundreds    velocity    acoustic    cellular    simulation    infore    hpc    flexible    data    computational    tested    prototype    expert    dramatically    streams    simulations    demanding    repeated    maritime    fight    evolution    pricing    time    streaming    scientific    producing    programmers    outcome    deal    sciences    vain    otherwise    vast    tune    valuable    programming    save    software    resource    unmanned    architecture    domains    effort    emitted    graphical    consuming    forecasting    programmable    rate    at    extreme    signals    industrial    analytics    grow    tick    rely    life    multitude    instance    undesired    synergies    cancer    cells    interactive    pave    amount    scientists    flows    tumor    world    drug    position    approximation    stock    outcomes    volumes    portfolio    infrastructure    autonomous    combined    sources    pluggable    forecast    distributed    domain    vessels    financial    thousands    spent    combine    wait    surveillance    vessel   

Project "INFORE" data sheet

The following table provides information about the project.

Coordinator
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS 

Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU
city: MAROUSSI
postcode: 151 25
website: www.athena-innovation.gr

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 Greece [EL]
 Total cost 4˙435˙586 €
 EC max contribution 4˙435˙586 € (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 2019
 Duration (year-month-day) from 2019-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) coordinator 834˙687.00
2    RAPIDMINER GMBH DE (DORTMUND) participant 653˙850.00
3    "NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS""" EL (AGIA PARASKEVI) participant 646˙875.00
4    SPRING TECHNO GMBH & CO KG DE (BREMEN) participant 599˙218.00
5    NATO SCIENCE AND TECHNOLOGY ORGANISATION BE (BRUXELLES) participant 515˙405.00
6    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 502˙500.00
7    MARINTRAFIK OPEREISONS ANONYMI ETAIREIA PLIROFORIKIS EL (ATHINA) participant 465˙625.00
8    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA IT (GENOVA) participant 153˙340.00
9    FUNDACIO CENTRE DE REGULACIO GENOMICA ES (BARCELONA) participant 64˙084.00

Map

 Project objective

At an increasing rate, industrial and scientific institutions need to deal with massive data flows streaming in from a multitude of sources. For instance, maritime surveillance applications combine high-velocity data streams, including vessel position signals emitted from hundreds of thousands of vessels across the world and acoustic signals of autonomous, unmanned vessels; in the financial domain, stock price forecasting and portfolio management rely on stock tick data combined with real-time information sources on various pricing indicators; at the fight against cancer, complex simulations of multi-cellular systems are used, producing extreme-scale data streams in an effort to predict the effects of drug synergies on cancer cells. In these applications, the data volumes are expected to dramatically grow in the future. Processing this data often requires not only using an HPC infrastructure, but also having data scientists, who are typically not expert programmers, program complex workflows, with a vast number of parameters to tune through time-consuming repeated programming and testing. INFORE will address these challenges and pave the way for real-time, interactive extreme-scale analytics and forecasting. The ability to forecast, as early as possible, a good approximation to the outcome of a time-consuming and resource-demanding computational task allows to quickly identify undesired outcomes and save valuable amount of time, effort and computational resources, which would otherwise be spent in vain. Consider, for example, the ability to forecast the outcome of a complex multi-cellular system simulation for tumor evolution, without the need to wait for the simulation to be completed. INFORE will also design and develop a flexible, pluggable, distributed software architecture that is programmable and set up by graphical data processing workflows. The INFORE prototype will be tested on massive real-world data from the life sciences, financial and maritime domains.

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

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