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BigDataStack SIGNED

High-performance data-centric stack for big data applications and operations

Total Cost €

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EC-Contrib. €

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Partnership

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 BigDataStack project word cloud

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

applicability    multiple    solution    exhibiting    openness    storage    data    purpose    promotes    specification    declarative    maritime    cross    decisions    complemented    offers    incorporates    innovative    technique    fit    commercial    efficiency    standardisation    running    advantage    frontrunner    technologies    integration    flight    fashion    semantic    interoperability    federated    infrastructure    environments    handling    bigdatastack    cep    introduces    locations    algorithms    unlock    financing    vision    distributed    runtime    mining    analytics    stack    rest    highlights    performant    delivers    automation    industrial    adaptable    service    agility    source    complete    suite    pioneering    market    quality    big    seamless    stream    environment    visualization    operations    toolkit    extensibility    dimensioning    predictive    scalable    holistic    cleaning    ensures    contributions    drives    time    domains    realize    performance    intensive    adaptive    stores    emphasis    full    revolution   

Project "BigDataStack" data sheet

The following table provides information about the project.

Coordinator
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD 

Organization address
address: 94 DERECH EM-HAMOSHAVOT
city: PETACH TIKVA
postcode: 49527
website: www.haifa.il.ibm.com

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 Israel [IL]
 Project website http://www.bigdatastack.eu/
 Total cost 4˙999˙712 €
 EC max contribution 4˙999˙712 € (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    IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IL (PETACH TIKVA) coordinator 903˙750.00
2    ATOS SPAIN SA ES (MADRID) participant 473˙125.00
3    RED HAT ISRAEL LTD IL (RA ANANA) participant 443˙750.00
4    UNIVERSITY OF PIRAEUS RESEARCH CENTER EL (PIRAEUS) participant 393˙187.00
5    LEANXCALE SL ES (BRUNETE MADRID) participant 390˙137.00
6    NEC LABORATORIES EUROPE GMBH DE (HEIDELBERG) participant 345˙700.00
7    UBITECH LIMITED CY (LIMASSOL) participant 298˙125.00
8    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 288˙500.00
9    ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS EL (ATHINA) participant 285˙000.00
10    UNIVERSITY OF GLASGOW UK (GLASGOW) participant 273˙750.00
11    GFT ITALIA SRL IT (MILANO) participant 255˙000.00
12    SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS EL (NEA KIFISIA) participant 252˙187.00
13    DANAOS SHIPPING COMPANY LIMITED CY (LIMASSOL) participant 210˙000.00
14    TRUST-IT SERVICES LIMITED UK (ENFIELD) participant 187˙500.00
15    NEC EUROPE LTD UK (LONDON) participant 0.00
16    SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL RO (BUCURESTI) participant 0.00

Map

 Project objective

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BigDataStack delivers a complete high-performant stack of technologies addressing the emerging needs of data operations and applications. The stack is based on a frontrunner infrastructure management system that drives decisions according to data aspects thus being fully scalable, runtime adaptable and performant for big data operations and data-intensive applications. BigDataStack promotes automation and quality and ensures that the provided data are meaningful, of value and fit-for-purpose through its Data as a Service offering that addresses the complete data path with approaches for data cleaning, modelling, semantic interoperability, and distributed storage. BigDataStack introduces a pioneering technique for seamless analytics which analyses data in a holistic fashion across multiple data stores and locations, handling analytics on both data in flight and at rest. Complemented with an innovative CEP running in federated environments for real-time cross-stream processing, predictive algorithms and process mining, BigDataStack offers a complete suite for big data analytics. BigDataStack holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack’s vision of openness and extensibility. With an emphasis on standardisation and open source contributions targeting high impact, BigDataStack will enable data operations and data-intensive applications to take full advantage of the developed technologies, exhibiting their applicability through three commercial use cases from the maritime, market and financing domains.

 Deliverables

List of deliverables.
Use case description and implemement - M18 Documents, reports 2020-01-31 17:18:12
Data Management Plan Open Research Data Pilot 2020-01-31 17:18:12
Exploitation plan and business potential - M18 Documents, reports 2020-01-31 17:18:11
Conceptual model and Reference architecture - II Documents, reports 2020-01-31 17:18:12
Initial publication package Documents, reports 2020-01-31 17:18:12
State of the art and Requirements analysis - I Documents, reports 2020-01-31 17:18:11
Project Management Plan Documents, reports 2020-01-31 17:18:12
Innovation Potential: Initial Plan and Activities Documents, reports 2020-01-31 17:18:11
WP 4 Scientific Report and Prototype Description - Y1 Documents, reports 2020-01-31 17:18:11
WP 5 Scientific Report and Prototype Description - Y1 Documents, reports 2020-01-31 17:18:12
Requirements & State of the Art Analysis - II Documents, reports 2020-01-31 17:18:11
Conceptual model and Reference architecture - I Documents, reports 2020-01-31 17:18:12
Dissemination and Standardisation Documents, reports 2020-01-31 17:18:11
WP 3 Scientific Report and Prototype description - Y1 Documents, reports 2020-01-31 17:18:12

Take a look to the deliverables list in detail:  detailed list of BigDataStack deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Bin Cheng ; Gürkan Solmaz ; Flavio Cirillo ; Ernö Kovacs ; Kazuyuki Terasawa ; Atsushi Kitazawa
FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities
published pages: , ISSN: 1533-5399, DOI:
IEEE INTERNET OF THINGS JOURNAL 2020-01-31
2019 Guy Khazma, Paula Ta-Shma, Oshrit Feder, Gal Lushi, Yosef Moatti
Big Data Skipping in the Cloud
published pages: , ISSN: , DOI:
Systor 2019 2020-01-31
2019 Nikolaos Koutroumanis Georgios M. Santipantakis Apostolos Glenis Christos Doulkeridis George A. Vouros
Integration of Mobility Data with Weather Information
published pages: , ISSN: , DOI: 10.5281/zenodo.2563133
EDBT/ICDT 2019 Joint Conference 2020-01-31
2019 Fadel Argerich, M., Cheng B., Fürst, J
Reinforcement Learning Based Orchestration for Elastic Services
published pages: , ISSN: , DOI:
2019 IEEE 5th World Forum on Internet of Things 2020-01-31

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

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