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