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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.

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

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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