Opendata, web and dolomites

CloudDBAppliance SIGNED

European Cloud In-Memory Database Appliance with Predictable Performance for Critical Applications

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "CloudDBAppliance" data sheet

The following table provides information about the project.

Coordinator
BULL SAS 

Organization address
address: RUE JEAN JAURES 68
city: LES CLAYES SOUS BOIS
postcode: 78340
website: www.bull.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 France [FR]
 Project website http://clouddb.eu/
 Total cost 4˙832˙132 €
 EC max contribution 4˙832˙132 € (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-2016-1
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2019-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BULL SAS FR (LES CLAYES SOUS BOIS) coordinator 835˙625.00
2    LEANXCALE SL ES (BRUNETE MADRID) participant 653˙125.00
3    INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA PT (PORTO) participant 503˙125.00
4    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 502˙625.00
5    ACTIVEVIAM LTD UK (LONDON) participant 495˙500.00
6    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 495˙257.00
7    SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS EL (NEA KIFISIA) participant 348˙125.00
8    JRC CAPITAL MANAGEMENT CONSULTANCY & RESEARCH GMBH DE (BERLIN) participant 300˙000.00
9    BTO SPA IT (MILANO) participant 251˙875.00
10    QIVOS-WE CREATE CUSTOMER LOYALTY SA EL (CHALANDRI) participant 248˙125.00
11    HOUSEMARKET ANONIMI ETAIRIA EMPORIAS IDON IKIAKIS KHRISEOS EPIPLON KAIIDON ESTIASIS EL (PAIANIA) participant 99˙375.00
12    WIND TRE SPA IT (RHO MI) participant 99˙375.00

Map

 Project objective

The project aims at producing a European Cloud Database Appliance for providing a Database as a Service able to match the predictable performance, robustness and trustworthiness of on premise architectures such as those based on mainframes. The project will evolve cloud architectures to enable the increase of the uptake of cloud technology by providing the robustness, trustworthiness, and performance required for applications currently considered too critical to be deployed on existing clouds. CloudDBAppliance will deliver a cloud database appliance featuring: 1. A scalable operational database able to process high update workloads such as the ones processed by banks or telcos, combined with a fast analytical engine able to answer analytical queries in an online manner. 2. A Hadoop data lake integrated with the operational database to cover the needs from companies on big data. 3. A cloud hardware appliance leveraging the next generation of hardware to be produced by Bull, the main European hardware provider. This hardware is a scale-up hardware similar to the one of mainframes but with a more modern architecture. Both the operational database and the in-memory analytics engine will be optimized to fully exploit this hardware and deliver predictable performance. Additionally, CloudDBAppliance will deal with the need to tolerate catastrophic cloud data centres failures (e.g. a fire or natural disaster) providing data redundancy across cloud data centres.

 Deliverables

List of deliverables.
Use Cases Design Documents, reports 2020-01-24 15:19:44
Use Cases Requirements Analysis Documents, reports 2020-01-24 15:19:44
Project factsheet Documents, reports 2020-01-24 15:19:44
Project Portal Other 2020-01-24 15:19:44
Evaluation Plan Documents, reports 2020-01-24 15:19:44

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

 Publications

year authors and title journal last update
List of publications.
2019 Ernesto Jiménez, José Luis López-Presa, Javier Martín-Rueda
Hybrid binary consensus in anonymous asynchronous systems using coins and failure detectors
published pages: 8262-8292, ISSN: 0920-8542, DOI: 10.1007/s11227-019-03001-6
The Journal of Supercomputing 75/12 2020-01-24
2018 Ji Liu, Esther Pacitti, Patrick Valduriez
A survey of scheduling frameworks in big data systems
published pages: 103, ISSN: 2043-9989, DOI: 10.1504/ijcc.2018.093765
International Journal of Cloud Computing 7/2 2020-01-24
2018 Afonso, João M.; Fernandes, Gabriel D.; Fernandes, João P.; Oliveira, Filipe; Ribeiro, Bruno M.; Pontes, Rogério; Oliveira, José N.; Proença, Alberto J.
Typed Linear Algebra for Efficient Analytical Querying
published pages: , ISSN: , DOI: 10.13140/rg.2.2.30588.18562
1 2020-01-24
2018 Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis Shasha
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows
published pages: 1481-1507, ISSN: 1384-5810, DOI: 10.1007/s10618-018-0580-z
Data Mining and Knowledge Discovery 32/5 2020-01-24
2020 Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Massively Distributed Time Series Indexing and Querying
published pages: 108-120, ISSN: 1041-4347, DOI: 10.1109/TKDE.2018.2880215
IEEE Transactions on Knowledge and Data Engineering 32/1 2020-01-24
2017 Kolev , Boyan; Levchenko , Oleksandra; Masseglia , Florent; Akbarinia , Reza; Pacitti , Esther; Valduriez , Patrick
Highly Scalable Real-Time Analytics with CloudDBAppliance
published pages: , ISSN: , DOI:
\"XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. 10th Extremely Large Databases Conference, 2017, ⟨https://xldb2017.uca.fr⟩\" 1 2020-01-24
2019 Levchenko, Oleksandra; Kolev, Boyan; Yagoubi, Djamel-Edine; Shasha, Dennis; Palpanas, Themis; Valduriez, Patrick; Akbarinia, Reza; Masseglia, Florent
Distributed Algorithms to Find Similar Time Series
published pages: , ISSN: , DOI:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020-01-24

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CLOUDDBAPPLIANCE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.)

DEL4ALL (2020)

Digital Enhanced Learning for ALL

Read More  

AMANDA (2019)

AutonoMous self powered miniAturized iNtelligent sensor for environmental sensing anD asset tracking in smArt IoT environments

Read More  

PIMCITY (2019)

PIMCITY: BUILDING THE NEXT GENERATION PERSONAL DATA PLATFORMS

Read More