Explore the words cloud of the I-BiDaaS project. It provides you a very rough idea of what is the project "I-BiDaaS" about.
The following table provides information about the project.
Coordinator |
IDRYMA TECHNOLOGIAS KAI EREVNAS
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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The information about "I-BIDAAS" are provided by the European Opendata Portal: CORDIS opendata.