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Papers

2017 - Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers

Title: Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers

Authors: Lopez Garcia A.

Journal: Journal of Physics: Conference Series - Nov/2017

DOI: 10.1088/1742-6596/898/9/092010




2016 - Evolution of the open cloud computing interface

Title: Evolution of the open cloud computing interface

Authors: Boris Parák, Zdeněk Šustr, Michal Kimle, Pablo Orviz Fernández, Álvaro López García, Stavros Sachtouris, Víctor Méndez Muñoz

Conference: CLOSER 2016 - Proceedings of the 6th International Conference on Cloud

DOI: 10.5220/0005934103390346

ISBN: 9789897581823

EID: 2-s2.0-84979608100




2014 - The role of IBERGRID in the Federated Cloud of EGI

Title: The role of IBERGRID in the Federated Cloud of EGI

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2014 Conference

ISBN: 978-84-9048-246-9




2013 - Identity Federation with VOMS in Cloud Infrastructures

Title: Identity Federation with VOMS in Cloud Infrastructures

Author: Álvaro López García, Enol Fernández-del-Castillo, Mattieu Puel

Conference: 2013 IEEE 5th International Conference on Cloud Computing Technology and Science

DOI: 10.1109/cloudcom.2013.13




2013 - Analysis of Scientific Cloud Computing requirements

Title: Analysis of Scientific Cloud Computing requirements

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2013 Conference




2012 - Production change management using Puppet, Git, Jenkins and Gerrit

Title: Production change management using Puppet, Git, Jenkins and Gerrit

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2012 Conference




2012 - IberCloud: federated access to virtualized resources

Title: IberCloud: federated access to virtualized resources

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2012 Conference




2011 - Software Provision Process for EGI

Title: Software Provision Process for EGI

Author: Álvaro López García, Pablo Orviz

Conference: Proceedings of the IBERGRID 2011 Conference

ISBN: 978-84-9745-884-9




2011 - Fostering multi-scientific usage in the Iberian production infrastructure

Title: Fostering multi-scientific usage in the Iberian production infrastructure

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2011 Conference

ISBN: 978-84-9745-884-9




2011 - Focusing on an integrated computing infrastructure: the IFCA experience

Title: Focusing on an integrated computing infrastructure: the IFCA experience

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2011 Conference

ISBN: 978-84-9745-884-9




2011 - Experience on running the Ibergrid infrastructure within EGI

Title: Experience on running the Ibergrid infrastructure within EGI

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2011 Conference

ISBN: 978-84-9745-884-9




2010 - Virtualization and network mirroring to deliver High Availability to Grid services

Title: Virtualization and network mirroring to deliver High Availability to Grid services

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2010 Conference

ISBN: 978-84-9745-549-7




2010 - Provisioning of Grid Middleware for EGI in the framework of EGI-InSPIRE

Title: Provisioning of Grid Middleware for EGI in the framework of EGI-InSPIRE

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2010 Conference

ISBN: 978-84-9745-549-7




2010 - Int.eu.grid

Title: Int.eu.grid

Author: Álvaro López García, Pablo Orviz

Conference: Proceedings of the IBERGRID 2010 Conference

ISBN: 978-1-4419-5595-1




2010 - Ibergrid transition to EGI

Title: Ibergrid transition to EGI

Author: Álvaro López García

Conference: Proceedings of the IBERGRID 2010 Conference

ISBN: 978-84-9745-549-7






Presentations




Posters

2019/04 - Deep Learning techniques for Satellite data: Atmospheric Corrections

Deep Learning techniques for Satellite data: Atmospheric Corrections

Remote sensing is a technique that allows obtaining information about an object through the analysis of data acquired by sensors that are not in contact with it, and the detection of changes from a multi-temporal sequence of satellite data is one of its most important applications.

As is well known, this process requires the application of atmospheric corrections to the images, so that the changes detected are only attributable to real landscape modifications. One of the techniques often recommended for applications of classification and detection of changes is the Dark Object Subtraction (DOS).

The technological advances in the sensors and the spatial and temporal resolutions now available open the door to new ways of monitoring the Earth by applying the latest techniques in machine learning or deep learning to these data.


EGU ( European Geosciences Union) 2019

Vienna | Austria | 7–12 April 2019



2019/04 - Deep Learning as a Service for Satellite Imagery Super-resolution

Deep Learning as a Service for Satellite Imagery Super-resolution

The problem of performing we try to solve is what we call multi-spectral imagery super-resolution. Satellites usually take images at different light frequencies and these different bands usually have different resolutions. For example in the case of ESA’s Sentinel-2 satellite it has 4, 6 and 3 bands with 10m, 20m and 60m resolutions respectively.

The idea is to take these low resolution bands (20m and 60m) and to super-resolve them to high resolution (10m). Several methods have been implemented to do this, but we choose to follow [1] that is based on deep neural networks and has shown to outperform previous state-of-the-art pansharpening methods. The results of using this method can be seen in the figure below:

We have modified the original code of [1] in order to make it general enough to be trained on any satellite. In fact we plan to launch services to perform super-resolution on other satellites like LandSat 8 in addition to the current service for Sentinel 2.


EOSC-hub week 2019

10 - 12 April , Prague



2013/10 - Experience with a frozen computational framework from LEP age

Experience with a frozen computational framework from LEP age

By the end of the LEP era there was no well established strategy for the long term preservation of the physics results and data processing framework.

This happening at a time before the generalization of the virtualization techniques, several alternatives were studied.
Among them the setup of a dedicated computational cluster to be preserved medium-long tem in its original state that would provide the capability to reanalyse LEP experiments’ data in case the LHC results, and in particular the Higgs boson search, indicated that was required.
In 2001 we implemented such strategy for the DELPHI experiment at the Institute of Physics of Cantabria, IFCA, placed in Santander (SPAIN).

CHEP 2013

14 - 18 October , Amsterdam





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