Un estudio comparativo sobre los efectos de la Gran Recesión y la COVID-19 sobre los jóvenes en el mercado laboral español: ¿Una generación perdida?

En esta Memoria de Trabajo de Fin de Grado se realiza un análisis comparativo de los efectos de la Gran Recesión y la crisis generada por la COVID-19 sobre el colectivo de jóvenes en el mercado laboral español. Utilizando datos de las principales fuentes estadísticas, tanto a nivel nacional como europeo, se encuentra que la precariedad laboral que ha caracterizado al colectivo durante el periodo analizado (2004-2021) permite considerarlo como una “generación perdida”, en términos agregados, en nuestro mercado de trabajo. Además, se encuentra evidencia de que las medidas llevadas a cabo para mejorar la situación laboral de los jóvenes no han conseguido los objetivos propuestos y su eficacia ha sido menor en España que a nivel europeo. Los resultados muestran también que, dentro del colectivo de jóvenes, los de menor edad, las mujeres y los de menor formación son los que peores condiciones laborales presentan en nuestro mercado laboralThis study provides a comparative analysis of the effects of the Great Recession and the crisis generated by COVID-19 on the group of young workers in the Spanish labour market. Using data from the main statistical sources, both at national and European level, we found that the job insecurity that has characterized young workers during the period analysed (2004-2021) allows considerìng them as a “lost generation”, in aggregate terms, in our country. In addition, there is evidence that the measures carried out to improve the employment situation of young workers have not achieved the proposed objectives and their effectiveness has been lower in Spain than at the European level. The results also show that, within the group of young workers, the youngest, women and those with less education and training are those with the worst working conditions in our labour market

HORIZON-ZEN presentation at EOSC Symposium 2023

<p>Presentation on HORIZON-ZEN at the HORIZON-ZEN project booth at EOSC Symposium 2023 in Madrid, Spain. </p&gt

Quattor - a framework for managing grid-enabled large scale computing fabrics, December 2004. http://quattor.web.cern.ch/quattor/- documentation.htm. [16

Quattor is a framework for managing large scale computing fabrics. It is a result of developments of the Fabric Management Work Package of the European DataGrid project. Although fabric management components are not grid components themselves, they are essential to have a working grid. Our experience gathering requirements, developing and deploying the Quattor framework in the DataGrid testbed and the CERN Computing Centre shows that there is a real need to be able to install, configure and manage grid computing clusters correctly, automatically and supporting adaptability. The framework provides automated and scalable configuration and installation of very large heterogeneous computing fabrics. It has a modular architecture with a central configuration database and autonomous agents running on fabric nodes. Configuration information is expressed in a high level description language called Pan. At present Unix derivatives such as Linux and Solaris are supported. Quattor has been shown to scale to thousands of computing nodes and offers a significant reduction in management costs for large computing fabrics. Quattor includes innovations compared to existing solutions which make it very useful for computing fabrics integrated into grid environments. Since more than one year, the framework is used to manage 2500 nodes of production farms at the CERN Computer Center. It is adopted by other projects such LHC Computing Grid and institutes across Europe such as IN2P3/LAL, NIKHEF, RAL and UAM.

CERN Services for Long Term Data Preservation

In this paper we describe the services that are offered by CERN for Long Term preservation of High Energy Physics (HEP) data, with the Large Hadron Collider (LHC) as a key use case. Data preservation is a strategic goal for European High Energy Physics (HEP), as well as for the HEP community worldwide and we position our work in this global content. Specifically, we target the preservation of the scientific data, together with the software, documentation and computing environment needed to process, (re-)analyse or otherwise (re-)use the data. The target data volumes range from hundreds of petabytes (PB – 10^15 bytes) to hundreds of exabytes (EB – 10^18 bytes) for a target duration of several decades. The Use Cases driving data preservation are presented together with metrics that allow us to measure how close we are to meeting our goals, including the possibility for formal certification for at least part of this work. Almost all of the services that we describe are fully generic – the exception being Analysis Preservation that has some domain-specific aspects (where the basic technology could nonetheless be adapted)

Towards automation of computing fabrics using tools from the fabric management workpackage of the EU DataGrid project

This article describes the architecture behind the designed fabric management system and the status of the different developments. It also covers the experience with an existing tool for automated configuration and installation that have been adapted and used from the beginning to manage the EU DataGrid testbed, which is now used for LHC data challenge