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I-BiDaaS SIGNED

Industrial-Driven Big Data as a Self-Service Solution

Total Cost €

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EC-Contrib. €

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Partnership

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 I-BiDaaS project word cloud

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

efficiency    society    industry    bidaas    breaking    interact    designing    self    expert    flow    big    first    technologies    analytics    empowerment    intrer    transforming    assist    tools    companies    sharing    profitability    putting    rate    silos    completely    building    employees    demonstrating    decisions    techniques    place    environment    balance    exchange    experimentation    easily    sectorial    machine    utilize    facilitates    thriving    experiments    speed    paradigm    interoperability    solution    empower    manufacturing    competitiveness    power    telecommunications    world    applicable    tangibly    shift    asset    human    cross    decision    convergence    organization    drive    unified    economy    methodical    domains    insights    goals    pools    aggregated    data    drives    investments    create    guaranteed    volume    consultants    cloud    domain    validated    iot    created    reduce    makers    transformative    right    give    significantly    banking    safe    coping    employee    leverage    variety    settings    organizations    true    service    velocity   

Project "I-BiDaaS" data sheet

The following table provides information about the project.

Coordinator
IDRYMA TECHNOLOGIAS KAI EREVNAS 

Organization address
address: N PLASTIRA STR 100
city: IRAKLEIO
postcode: 70013
website: www.forth.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]
 Project website http://www.ibidaas.eu
 Total cost 4˙997˙035 €
 EC max contribution 4˙997˙035 € (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    IDRYMA TECHNOLOGIAS KAI EREVNAS EL (IRAKLEIO) coordinator 600˙000.00
2    IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IL (PETACH TIKVA) participant 558˙750.00
3    SOFTWARE AG DE (DARMSTADT) participant 423˙000.00
4    CAIXABANK SA ES (BARCELONA) participant 406˙875.00
5    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 385˙000.00
6    TELEFONICA INVESTIGACION Y DESARROLLO SA ES (MADRID) participant 360˙073.00
7    ATOS SPAIN SA ES (MADRID) participant 348˙750.00
8    THE UNIVERSITY OF MANCHESTER UK (MANCHESTER) participant 348˙750.00
9    CENTRO RICERCHE FIAT SCPA IT (ORBASSANO) participant 347˙000.00
10    University of Novi Sad Faculty of Sciences RS (Novi Sad) participant 323˙211.00
11    INFORMATION TECHNOLOGY FOR MARKET LEADERSHIP EL (ATHINA) participant 322˙500.00
12    AEGIS IT RESEARCH LTD UK (LONDON) participant 319˙375.00
13    ECOLE NATIONALE DES PONTS ET CHAUSSEES FR (MARNE LA VALLEE CEDEX 2) participant 253˙750.00

Map

 Project objective

Organizations leverage data pools to drive value, while it is variety, not volume or velocity, which drives big-data investments. The convergence of IoT, cloud, and big data, create new opportunities for self-service analytics towards a completely paradigm towards big data analytics. Human and machine created data is being aggregated, transforming our economy and society. To face these challenges, companies call upon expert analysts and consultants to assist them. A self-service solution will be transformative for organizations, it will empower their employees with the right knowledge, and give the true decision-makers the insights they need to make the right decisions. It will shift the power balance within an organization, increase efficiency, reduce costs, improve employee empowerment, and increase profitability.

I-BiDaaS aims to empower users to easily utilize and interact with big data technologies, by designing, building, and demonstrating, a unified solution that: significantly increases the speed of data analysis while coping with the rate of data asset growth, and facilitates cross-domain data-flow towards a thriving data-driven EU economy. I-BiDaaS will achieve its goals following a methodical approach. As a first step, it has guaranteed access to real-world industry big data. I-BiDaaS will proceed with breaking intrer- and intra-sectorial data-silos, and support data sharing, exchange, and interoperability. Having done so, it will support methodical big data experimentation by putting in place a safe data processing environment. To foster experimentation, I-BiDaaS will develop data processing tools and techniques applicable in real-world settings. I-BiDaaS will be tangibly validated by three real-world, industry-lead experiments, in the domains of banking, manufacturing, and telecommunications. The I-BiDaaS solution will help increase the efficiency and competitiveness of EU companies.

 Deliverables

List of deliverables.
Experiments implementation - initial version Documents, reports 2019-11-06 12:11:32
Federated Resource Management for Data Analytics v1 Documents, reports 2019-11-06 12:11:32
Positioning of I-BiDaaS Documents, reports 2019-11-06 12:11:32
Batch Processing Analytics module implementation Documents, reports 2019-11-06 12:11:32
I-BiDaaS visualization and monitoring framework, and a multi-purpose interface Documents, reports 2019-11-06 12:11:32
Universal Messaging Bus (Interim Version) Documents, reports 2019-11-06 12:11:32
First report on Dissemination strategy and activities Documents, reports 2019-11-06 12:11:32
The Data Fabrication Platform (DFP, Interim version) Documents, reports 2019-11-06 12:11:32
Project website Demonstrators, pilots, prototypes 2019-11-06 12:11:32
Batch Processing Analytics module implementation as part of I-BiDaaS solution Documents, reports 2019-11-06 12:11:32
Big-Data-as-a-Self-Service Test and Integration Report Documents, reports 2019-11-06 12:11:32

Take a look to the deliverables list in detail:  detailed list of I-BiDaaS deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Armacki, Aleksandar; Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Distributed Trust-Region Method With First Order Models
published pages: , ISSN: , DOI: 10.5281/zenodo.3333539
EUROCON 2019 1 2019-11-06
2019 Cesare Cugnasco, Yolanda Becerra, Jordi Torres
A framework for multidimensional indexes on distributed and highly-available data stores
published pages: , ISSN: , DOI:
2019-11-06
2019 Kochovski Petar; Sakellariou Rizos; Bajec Marko; Drobintsev Pavel; Stankovski Vlado
An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum
published pages: , ISSN: , DOI: 10.5281/zenodo.2548463
33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019) 5 2019-11-06
2019 Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Distributed second order methods with increasing number of working nodes
published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2922191
IEEE Transactions on Automatic Control 2019-11-06
2019 Giorgos Vasiliadis; Dusan Jakovetic; Ilias Spais; Sotiris Ioannidis
I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution
published pages: , ISSN: , DOI: 10.5281/zenodo.3355416
7th European Conference on Service-Oriented and Cloud Computing – EU Project Space track (ESOCC 2018) 1 2019-11-06
2018 Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
High performance encrypted network traffic inspection using hardware accelerators
published pages: , ISSN: , DOI: 10.5281/zenodo.2635460
The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018) 5 2019-11-06
2019 Arapakis, Ioannis; Becerra, Yolanda; Boehm, Omer; Bravos, George; Chatzigiannakis, Vassilis; Cugnasco, Cesare; Demetriou, Giorgos; Eleftheriou, Iliada; Mascolo, Julien; Fodor, Lidija; Ioannidis, Sotiris; Jakovetic, Dusan; Kallipolitis, Leonidas; Kavakli, Evangelia; Kopanaki, Despina; Kourtellis, Nicolas; Marcos, Mario Maawad; Martin de Pozuelo, Ramon; Milosevic, Nemanja; Morandi, Giuditta; Pages M
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications
published pages: , ISSN: , DOI: 10.5281/zenodo.3333486
2019 IEEE World Congress on Services 7 2019-11-06
2018 Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Communication efficient distributed weighted non-linear least squares estimation
published pages: 1-15, ISSN: 1687-6180, DOI: 10.1186/s13634-018-0586-0
EURASIP Journal on Advances in Signal Processing 2018/1 2019-11-06
2018 Giannis Giakoumakis; Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Efficient Scheduling for Concurrently Executed Network Packet Processing Applications on Heterogeneous Hardware Architectures
published pages: , ISSN: , DOI: 10.5281/zenodo.2635468
The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018) 8 2019-11-06
2019 Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Spectral-like gradient method for distributed optimization
published pages: , ISSN: , DOI: 10.5281/zenodo.3333533
IEEE EUROCON 2019 3 2019-11-06

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