This group started its activity in 2000 to promote a research e-infrastructure at IFCA integrated and relevant at international level.
The middleware framework used has evolved from Grid computing towards Cloud.
The group has setup a first level computing infrastructure at national range, with visibility at international level, and participation in numerous international projects:
-FP6 "Interactive European Grid" (as Coordinator)
-FP6 EGEE project, EGI-Inspire
-FP7 DORII and Coopeus projects
-deployment of a Tier-2 center for CMS (LHC),within WLCG.
-setup of the ALTAMIRA supercomputer (in top500) at the University of Cantabria.
-H2020 EGI_Engage (ongoing)
-H2020 INDIGO-DataCloud (ongoing)
-H2020 AARC2 (starting may 2017)
The group has open new lines of activities in the last years: integration of instrumentation in the distributed computing framework, support to multidisciplinary applications, integration of solutions in the cloud platform, knowledge preservation.
It is currently involved in two H2020 projects (EGI-Engage and INDIGO-Datacloud) and an ESFRI (LifeWatch).
The global objective of the group is to make a relevant contribution in Data Science in analytics, engineering and open data, in different science fields, and in particular in interdisciplinary applications , profiting of the computational resources available.
-contribute to the the analysis of large data volumes, like CMS experiment at LHC, using Big Data techniques.
-integrate the different components for applications in environmental science, from sensors and data taking up to simulation and modeling, participating in projects at national and international level (EGI-Engage, INDIGO-DataCloud, LifeWatch ESFRI, European Open Science Cloud).
-participation in extremely large simulations in a realistic context for complex systems, like those proposed in initiatives like FET in H2020.
-mantain and improve the computing infrastructure managed by the group, currently including a supercomputer, several clusters, an storage system with a capacity above 1 Petabyte, and an archiving system with an equivalent capacity, and assure its exploitation in demanding and outstanding projects at national and international level.
-develop a complete support chain to Data Management, from data acquisition to preservation.
-develop new simulation techniques using new technologies based in agents and noSQL DBMS.
-study the scalability of these techniques in the HPC context, for supercomputers, Grid systems, Cloud and clusters.
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|http://dx.doi.org/10.3389/fgene.2015.00197||Future opportunities and trends for e-infrastructures and life sciences: Going beyond the grid to enable life science data analysis||2015-01-01T00:00:00.0000000Z||Frontiers in Genetics||Duarte A.|
|http://dx.doi.org/10.4137/EBO.S23873||TRUFA: A user-friendly web server for de novo rna-seq analysis using cluster computing||2015-01-01T00:00:00.0000000Z||Evolutionary Bioinformatics||Kornobis E.|
|http://dx.doi.org/10.1088/1742-6596/513/3/032014||Direct exploitation of a top 500 supercomputer for analysis of CMS data||2014-01-01T00:00:00.0000000Z||Journal of Physics: Conference Series||Cabrillo I.|