Explore the words cloud of the BigStorage project. It provides you a very rough idea of what is the project "BigStorage" about.
The following table provides information about the project.
Coordinator |
UNIVERSIDAD POLITECNICA DE MADRID
Organization address contact info |
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 |
Take a look of project's partnership.
'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.'
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.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Ãlvaro Brandón, MarÃa 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 |
Ãlvaro Brandón Hernández, MarÃa 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 |
Ãlvaro Brandón, MarÃa 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, MarÃa 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 |
Ãlvaro Brandón, MarÃa 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, MarÃa 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 |
Ãlvaro Brandón Hernández, MarÃa 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 |
MichaÅ‚ ZasadzinÌski, 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, MarÃa 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 |
MichaÅ‚ ZasadzinÌski, 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.