Explore the words cloud of the DEEP-HybridDataCloud project. It provides you a very rough idea of what is the project "DEEP-HybridDataCloud" about.
The following table provides information about the project.
Coordinator |
AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | https://deep-hybrid-datacloud.eu |
Total cost | 2˙988˙750 € |
EC max contribution | 2˙988˙750 € (100%) |
Programme |
1. H2020-EU.1.4.1.3. (Development, deployment and operation of ICT-based e-infrastructures) |
Code Call | H2020-EINFRA-2017 |
Funding Scheme | RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-11-01 to 2020-04-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS | ES (MADRID) | coordinator | 531˙250.00 |
2 | ISTITUTO NAZIONALE DI FISICA NUCLEARE | IT (FRASCATI) | participant | 375˙000.00 |
3 | LABORATORIO DE INSTRUMENTACAO E FISICA EXPERIMENTAL DE PARTICULAS LIP | PT (COIMBRA) | participant | 362˙500.00 |
4 | USTAV INFORMATIKY, SLOVENSKA AKADEMIA VIED | SK (BRATISLAVA) | participant | 271˙250.00 |
5 | HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH | DE (NEUHERBERG) | participant | 260˙000.00 |
6 | INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK | PL (POZNAN) | participant | 242˙500.00 |
7 | KARLSRUHER INSTITUT FUER TECHNOLOGIE | DE (KARLSRUHE) | participant | 241˙250.00 |
8 | UNIVERSITAT POLITECNICA DE VALENCIA | ES (VALENCIA) | participant | 237˙500.00 |
9 | ATOS SPAIN SA | ES (MADRID) | participant | 233˙750.00 |
10 | CESNET ZAJMOVE SDRUZENI PRAVNICKYCH OSOB | CZ (PRAHA 6) | participant | 233˙750.00 |
The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure.
We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams.
Three pilot applications exploiting very large datasets in Biology, Physics and Network Security are proposed, and further pilots for dissemination into other areas like Medicine, Earth Observation, Astrophysics, and Citizen Science will be supported in a testbed with significant HPC resources, including latest generation GPUs, to evaluate the performance and scalability of the solutions. A DevOps approach will be implemented to provide the chain to ensure the quality of the software and services released, that will also be offered to the developers of research applications.
The project will evolve to TRL8 existing services and technologies at TRL6, including relevant contributions to the EOSC by the INDIGO-DataCloud H2020 project, that the project will enrich with new functionalities already available as prototypes, notably the support for GPUs and low latency interconnects. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future.
Design for the DEEP as a Service solution | Documents, reports | 2020-03-24 10:44:42 |
Initial plan for Use Cases | Documents, reports | 2020-03-24 10:44:42 |
Definition of the Architecture of the Hybrid Cloud | Documents, reports | 2020-03-24 10:44:42 |
Status of Software releases | Documents, reports | 2020-03-24 10:44:42 |
Data Management considerations and initial plan | Open Research Data Pilot | 2020-03-24 10:44:42 |
Communication Measures: Plan and Implementation Status. | Documents, reports | 2020-03-24 10:44:42 |
First Software Platform | Documents, reports | 2020-03-24 10:44:42 |
Updated reports from global DEEP meetings. | Documents, reports | 2020-03-24 10:44:42 |
Pilot testbed | Documents, reports | 2020-03-24 10:44:42 |
State-of-the-art on Machine Learning frameworks | Documents, reports | 2020-03-24 10:44:42 |
Available Technologies for accelerators and HPC | Documents, reports | 2020-03-24 10:44:42 |
First prototype of the DEEP as a Service | Documents, reports | 2020-03-24 10:44:42 |
Dissemination and Exploitation Plan. | Documents, reports | 2020-03-24 10:44:42 |
High Level Hybrid Cloud solutions prototype | Documents, reports | 2020-03-24 10:44:42 |
Take a look to the deliverables list in detail: detailed list of DEEP-HybridDataCloud deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Alvaro Lopez Garcia, Viet Tran, Andy S. Alic, Miguel Caballer, Isabel Campos Plasencia, Alessandro Costantini, Stefan Dlugolinsky, Doina Cristina Duma, Giacinto Donvito, Jorge Gomes, Ignacio Heredia Cacha, Jesus Marco De Lucas, Keiichi Ito, Valentin Y. Kozlov, Giang Nguyen, Pablo Orviz Fernandez, Zdenek Sustr, Pawel Wolniewicz, Marica Antonacci, Wolfgang Zu Castell, Mario David, Marcus Hardt, Lara A cloud-based framework for machine learning workloads and applications published pages: 1-1, ISSN: 2169-3536, DOI: 10.1109/access.2020.2964386 |
IEEE Access | 2020-03-24 |
2018 |
Giang Nguyen, Binh Minh Nguyen, Dang Tran, Ladislav Hluchy A heuristics approach to mine behavioural data logs in mobile malware detection system published pages: 129-151, ISSN: 0169-023X, DOI: 10.1016/j.datak.2018.03.002 |
Data & Knowledge Engineering 115 | 2020-03-24 |
2018 |
Binh Minh Nguyen, Huan Phan, Duong Quang Ha, Giang Nguyen An Information-centric Approach for Slice Monitoring from Edge Devices to Clouds published pages: 326-335, ISSN: 1877-0509, DOI: 10.1016/j.procs.2018.04.046 |
Procedia Computer Science 130 | 2020-03-24 |
2017 |
Matej BabiÄ, Ladislav Hluchy, Peter Krammer, Branko MatoviÄ, Ravi Kumar, Pavel KovaÄ New Method for Constructing a Visibility Graph-Network in 3D Space and a New Hybrid System of Modeling published pages: 1107-1126, ISSN: 1335-9150, DOI: 10.4149/cai_2017_5_1107 |
Computing and Informatics 36/5 | 2020-03-24 |
2018 |
Nhuan Tran, Thang Nguyen, Binh Minh Nguyen, Giang Nguyen A Multivariate Fuzzy Time Series Resource Forecast Model for Clouds using LSTM and Data Correlation Analysis published pages: 636-645, ISSN: 1877-0509, DOI: 10.1016/j.procs.2018.07.298 |
Procedia Computer Science 126 | 2020-03-24 |
2018 |
Francisco Pando, Ignacio Heredia, Carlos Aedo Pérez, Mauricio Velayos RodrÃguez, Lara Lloret Iglesias, Joel Calvo Deep learning for weed identification based on seed images published pages: e25749, ISSN: 2535-0897, DOI: 10.3897/biss.2.25749 |
Biodiversity Information Science and Standards 2 | 2020-03-24 |
2018 |
Donvito, Giacinto; Gomes, Jorge; Ferrer, A. Juan; Kozlov, Valentin; López GarcÃa, Ãlvaro; Matyska, Ludek; Meyer, Norbert; Moltó, Germán; Tran, Viet; Castell, Wolfgang zu DEEP-HybridDataCloud published pages: , ISSN: , DOI: |
ISC High Performance Computing | 2020-03-24 |
2019 |
Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet Tran, Ãlvaro López GarcÃa, Ignacio Heredia, Peter MalÃk, Ladislav Hluchý Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey published pages: , ISSN: 0269-2821, DOI: 10.1007/s10462-018-09679-z |
Artificial Intelligence Review | 2020-03-24 |
2018 |
Lara Lloret, Ignacio Heredia, Fernando Aguilar, Elisabeth Debusschere, Klaas Deneudt, Francisco Hernandez Convolutional Neural Networks for Phytoplankton identification and classification published pages: e25762, ISSN: 2535-0897, DOI: 10.3897/biss.2.25762 |
Biodiversity Information Science and Standards 2 | 2020-03-24 |
2018 |
Orviz, Pablo; López GarcÃa, Ãlvaro; Duma, Doina Cristina; Donvito, Giacinto; David, Mario; Gomes, Jorge A set of common software quality assurance baseline criteria for research projects published pages: , ISSN: , DOI: |
1 | 2020-03-24 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DEEP-HYBRIDDATACLOUD" 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 "DEEP-HYBRIDDATACLOUD" are provided by the European Opendata Portal: CORDIS opendata.