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BigStorage

BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BigStorage" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD POLITECNICA DE MADRID 

Organization address
address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
city: MADRID
postcode: 28040
website: www.upm.es

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 Spain [ES]
 Project website http://bigstorage-project.eu
 Total cost 3˙803˙407 €
 EC max contribution 3˙803˙407 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2014
 Funding Scheme MSCA-ITN-ETN
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) coordinator 495˙745.00
2    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 788˙626.00
3    JOHANNES GUTENBERG-UNIVERSITAT MAINZ DE (MAINZ) participant 498˙432.00
4    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 495˙745.00
5    SEAGATE SYSTEMS UK LIMITED UK (HAVANT) participant 273˙287.00
6    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 262˙875.00
7    DEUTSCHES KLIMARECHENZENTRUM GMBH DE (HAMBURG) participant 249˙216.00
8    FUJITSU TECHNOLOGY SOLUTIONS GMBH DE (MUNCHEN) participant 249˙216.00
9    CA TECHNOLOGIES DEVELOPMENT SPAIN SA ES (CORNELLA DE LLOBREGAT BARCELONA) participant 247˙872.00
10    IDRYMA TECHNOLOGIAS KAI EREVNAS EL (IRAKLEIO) participant 242˙386.00
11    BULL SAS FR (LES CLAYES SOUS BOIS) partner 0.00
12    IBM IRELAND LIMITED IE (Ballsbridge) partner 0.00
13    INFORMATICA EL CORTE INGLES SA ES (MADRID) partner 0.00

Map

 Project objective

'The consortium of this European Training Network (ETN) 'BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data” will train future data scientists in order to enable them and us to apply holistic and interdisciplinary approaches for taking advantage of a data-overwhelmed world, which requires HPC and Cloud infrastructures with a redefinition of storage architectures underpinning them - focusing on meeting highly ambitious performance and energy usage objectives.

There has been an explosion of digital data, which is changing our knowledge about the world. This huge data collection, which cannot be managed by current data management systems, is known as Big Data. Techniques to address it are gradually combining with what has been traditionally known as High Performance Computing. Therefore, this ETN will focus on the convergence of Big Data, HPC, and Cloud data storage, ist management and analysis.

To gain value from Big Data it must be addressed from many different angles: (i) applications, which can exploit this data, (ii) middleware, operating in the cloud and HPC environments, and (iii) infrastructure, which provides the Storage, and Computing capable of handling it.

Big Data can only be effectively exploited if techniques and algorithms are available, which help to understand its content, so that it can be processed by decision-making models. This is the main goal of Data Science.

We claim that this ETN project will be the ideal means to educate new researchers on the different facets of Data Science (across storage hardware and software architectures, large-scale distributed systems, data management services, data analysis, machine learning, decision making). Such a multifaceted expertise is mandatory to enable researchers to propose appropriate answers to applications requirements, while leveraging advanced data storage solutions unifying cloud and HPC storage facilities.'

 Deliverables

List of deliverables.
WP6. Coordination Management Final Report Other 2019-10-14 16:27:06
WP5. Energy savings – Final Report Documents, reports 2019-10-14 16:27:06
WP4. Final Report Documents, reports 2019-10-14 16:27:07
WP7 - Final Report Websites, patent fillings, videos etc. 2019-10-14 16:27:06
WP2. Data Science – Final Report Documents, reports 2019-10-14 16:27:07
WP1. Proposal evaluation Documents, reports 2019-10-14 16:27:07
WP1. Benchmarks defined & tested Other 2019-10-14 16:27:06
WP3. HPC / Cloud Convergence – Final Documents, reports 2019-10-14 16:27:07
WP5. Intermediate Report on Achieved Milestones Documents, reports 2019-10-14 16:27:05
WP4. Intermediate Report Documents, reports 2019-10-14 16:27:06
WP2. Intermediate Report Documents, reports 2019-10-14 16:27:06
WP3. Intermediate Report Documents, reports 2019-10-14 16:27:06
WP1. Requirement description Documents, reports 2019-10-14 16:27:06

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

 Publications

year authors and title journal last update
List of publications.
2018 Álvaro Brandón, María S. Pérez, Jesus Montes, Alberto Sanchez
FMonE: A Flexible Monitoring Solution at the Edge
published pages: 1-15, ISSN: 1530-8669, DOI: 10.1155/2018/2068278
Wireless Communications and Mobile Computing 2018 2019-10-14
2018 Álvaro Brandón Hernández, María S. Perez, Smrati Gupta, Victor Muntés-Mulero
Using machine learning to optimize parallelism in big data applications
published pages: 1076-1092, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.07.003
Future Generation Computer Systems 86 2019-10-14
2018 D. Katsios, A. S. Xanthopoulos, D. E. Koulouriotis, A. Kiatipis
A Simulation Optimisation Tool and Its Production/Inventory Control Application
published pages: 257-270, ISSN: 1726-4529, DOI: 10.2507/ijsimm17(2)425
International Journal of Simulation Modelling 17/2 2019-10-14
2018 Michał Zasadziński, Victor Muntés-Mulero, Marc Solé and Thomas Ludwig
Mistral Supercomputer Job History Analysis
published pages: , ISSN: , DOI:
2019-10-14
2018 Álvaro Brandón, María S. Pérez, Jesus Montes, Alberto Sanchez
FMonE: A Flexible Monitoring Solution at the Edge
published pages: 1-15, ISSN: 1530-8669, DOI: 10.1155/2018/2068278
Wireless Communications and Mobile Computing 2018 2019-10-14
2018 Pierre Matri, María S. Pérez, Alexandru Costan, Luc Bougé, Gabriel Antoniu
Keeping up with storage: Decentralized, write-enabled dynamic geo-replication
published pages: 1093-1105, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.06.009
Future Generation Computer Systems 86 2019-10-14
2018 Yacine Taleb; Ryan Stutsman; Gabriel Antoniu ; Toni Cortes
Tailwind: fast and atomic RDMA-based replication
published pages: , ISSN: , DOI:
USENIX 2019-10-14
2018 Álvaro Brandón, María S. Pérez, Jesus Montes, Alberto Sanchez
FMonE: A Flexible Monitoring Solution at the Edge
published pages: 1-15, ISSN: 1530-8669, DOI: 10.1155/2018/2068278
Wireless Communications and Mobile Computing 2018 2019-10-14
2018 Pierre Matri, María S. Pérez, Alexandru Costan, Luc Bougé, Gabriel Antoniu
Keeping up with storage: Decentralized, write-enabled dynamic geo-replication
published pages: 1093-1105, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.06.009
Future Generation Computer Systems 86 2019-10-14
2018 A. S. Xanthopoulos, Athanasios Kiatipis, D. E. Koulouriotis, Sepp Stieger
Reinforcement Learning-Based and Parametric Production-Maintenance Control Policies for a Deteriorating Manufacturing System
published pages: 576-588, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2017.2771827
IEEE Access 6 2019-10-14
2018 Jakob Lüttgau, Michael Kuhn, Kira Duwe, Yevhen Alforov, Eugen Betke, Julian Kunkel, Thomas Ludwig
Survey of Storage Systems for High-Performance Computing
published pages: 31–58, ISSN: 2313-8734, DOI: 10.14529/jsfi180103
Supercomputing Frontiers and Innovations 5/1 2019-10-14
2018 Álvaro Brandón Hernández, María S. Perez, Smrati Gupta, Victor Muntés-Mulero
Using machine learning to optimize parallelism in big data applications
published pages: 1076-1092, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.07.003
Future Generation Computer Systems 86 2019-10-14
2018 Jakob Lüttgau, Michael Kuhn, Kira Duwe, Yevhen Alforov, Eugen Betke, Julian Kunkel, Thomas Ludwig
Survey of Storage Systems for High-Performance Computing
published pages: 31–58, ISSN: 2313-8734, DOI: 10.14529/jsfi180103
Supercomputing Frontiers and Innovations 5/1 2019-10-14
2017 Taleb, Yacine; Ibrahim, Shadi; Antoniu, Gabriel; Cortes, Toni
Characterizing Performance and Energy-Efficiency of The RAMCloud Storage System
published pages: , ISSN: , DOI:
The 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017) , Jun 2017, Atlanta, United States. 2017 1 2019-10-14
2016 Dimitris Ganosis, Yannis Sfakianakis, Manolis Marazakis, and Angelos Bilas
Detecting Performance Degradation with System Level Metrics
published pages: , ISSN: , DOI:
Final Public Workshop from LeanBigData and CoherentPaaS 2019-10-14
2016 Dimitris Ganosis, Yannis Sfakianakis, Manolis Marazakis, and Angelos Bilas
Detecting Performance Degradation with System Level Metrics
published pages: , ISSN: , DOI:
Final Public Workshop from LeanBigData and CoherentPaaS 2019-10-14
2016 Michał Zasadziński, Victor Muntés-Mulero, Marc Solé and David Carrera
Fast Root Cause Analysis on Distributed Systems by Composing Precompiled Bayesian Networks
published pages: , ISSN: , DOI:
International Conference on Machine Learning and Data Analysis 2019-10-14
2016 Marcu, Ovidiu-Cristian; Pérez, María S.; Costan, Alexandru; Antoniu, Gabriel
Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks
published pages: 433-442, ISSN: , DOI:
Cluster 2016 - The IEEE 2016 International Conference on Cluster Computing, Sep 2016, Taipei, Taiwan. <http://www.ieeecluster2016.org/> 2 2019-10-14
2017 Thuy Linh Nguyen and Adrien Lebre
Virtual Machine Boot Time Model
published pages: , ISSN: , DOI:
25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing 2019-10-14
2016 Michał Zasadziński, Victor Muntés-Mulero, Marc Solé and David Carrera
Fast Root Cause Analysis on Distributed Systems by Composing Precompiled Bayesian Networks
published pages: , ISSN: , DOI:
International Conference on Machine Learning and Data Analysis 2019-10-14

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

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