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BigClouT

Big data meeting Cloud and IoT for empowering the citizen clout in smart cities

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BigClouT" data sheet

The following table provides information about the project.

Coordinator
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES 

Organization address
address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015
website: www.cea.fr

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 France [FR]
 Project website http://bigclout.eu
 Total cost 1˙349˙622 €
 EC max contribution 1˙349˙622 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-EUJ-2016-1
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-07-01   to  2019-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) coordinator 390˙133.00
2    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 225˙000.00
3    ENGINEERING - INGEGNERIA INFORMATICA SPA IT (ROMA) participant 206˙250.00
4    UNIVERSITY OF LANCASTER UK (LANCASTER) participant 174˙998.00
5    AK GROUP FR (ANGERS) participant 131˙250.00
6    BRISTOLISOPEN LIMITED UK (BRISTOL) participant 125˙000.00
7    GRENOBLE-ALPES-METROPOLE METRO FR (GRENOBLE) participant 96˙990.00
8    ABSISKEY FR (ANGERS) participant 0.00
9    ABSISKEY CP FR (GRENOBLE) participant 0.00

Map

 Project objective

As we enter 2016, the world is facing a number of critical challenges such as global warming, economic crisis, security threats, inequality, natural disasters and ageing society. Urban areas are particularly affected, given that the world population is increasingly concentrated in those areas. ICT solutions have the potential to change the world and improve the quality of life and security of its citizens. In particular, IoT, cloud and big data are today’s key enablers for increasing the efficiency in using shared urban infrastructure, economic and natural resources. The overall concept of the BigClouT project is to give an analytic mind to the city by creating distributed intelligence that can be implanted in the whole city network. The unprecedented number of connected things and the associated big data naturally raise new technical challenges in terms of interoperability, scalable and online data processing, actionable knowledge extraction, self-management, security and privacy. The BigClouT project is bringing together resources and knowledge necessary from prestigious European and Japanese institutions for tackling those challenges. BigClouT will leverage the results of the ClouT project and bring them several steps further and add, in particular, distributed intelligence with edge computing principles, big data analytics capability and self-awareness property. The BigClouT platform will be deployed and validated in 4 pilot cities in the project, Grenoble, Bristol, Tsukuba and Fujisawa. BigClouT gives a particular importance to the involvement of citizens during the whole lifetime of the project, from use case definitions to validation. BigClouT has also the ambitious objective of creating a community of external end-users to build their own applications/business on top of BigClouT tools and platform, and to maintain alive this community during the project and beyond, which will ensure the sustainability of the results of the ClouT and BigClouT projects.

 Deliverables

List of deliverables.
Distributed data flow programming tool Demonstrators, pilots, prototypes 2020-02-19 18:11:46
Data collection tools and architecture Documents, reports 2020-02-19 18:11:46
Self-aware programmable city data platform - demonstration Demonstrators, pilots, prototypes 2020-02-19 18:11:46
Big Data Analytics Framework Prototype Demonstrators, pilots, prototypes 2020-02-19 18:11:46
Final pilot operation plan Documents, reports 2020-02-19 18:11:46
First year update to the dissemination and exploitation plan including first progress on business models Documents, reports 2020-02-19 18:11:46
Big Data Analytics Framework Architecture Documents, reports 2020-02-19 18:11:46
Updated use cases, requirements and architecture Documents, reports 2020-02-19 18:11:46
Big Data Analytics Framework report - first release Documents, reports 2020-02-19 18:11:46
Data collection and redistribution framework - demonstration Demonstrators, pilots, prototypes 2020-02-19 18:11:46
Initial pilot operation plan Documents, reports 2020-02-19 18:11:46
Citizen centric use cases and requirements Documents, reports 2020-02-19 18:11:46
First BigClouT architecture Documents, reports 2020-02-19 18:11:46
Self-aware distributed city data platform – first release Documents, reports 2020-02-19 18:11:46
Visual Identity and project website Websites, patent fillings, videos etc. 2020-02-19 18:11:46
Integrated use cases and first large-scale deployments and experimentation Demonstrators, pilots, prototypes 2020-02-19 18:11:46
Second year update dissemination and exploitation plan Documents, reports 2020-02-19 18:11:46
Analysis of existing reusable European and Japanese assets Documents, reports 2020-02-19 18:11:46

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

 Publications

year authors and title journal last update
List of publications.
2017 Ehsan Ullah Warriach, Kenji Tei
A comparative analysis of machine learning algorithms for faults detection in wireless sensor networks
published pages: 1, ISSN: 1748-1279, DOI: 10.1504/IJSNET.2017.084209
International Journal of Sensor Networks 24/1 2020-02-19

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

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