CERN Storage Systems for Large-Scale Wireless

The project aims at evaluating the use of CERN computing infrastructure for next generation sensor networks data analysis. The proposed system allows the simulation of a large-scale sensor array for traffic analysis, streaming data to CERN storage systems in an efficient way. The data are made available for offline and quasi-online analysis, enabling both long term planning and fast reaction on the environment

Estudi i millora energètica en edificis existents

Over the last hundred years, society has undergone the greatest changes in its history in a relatively short time. Improvements in people's quality of life have been evolving and improving and, consequently, have led to population growth. Among the different factors that have led to this population growth is technology, which, in the same way, has been progressing as people have acquired new knowledge. This growth in technology has always been closely linked to the energy needs required to realise it, and as energy needs increased, so did energy sources. Population growth, the emergence of new technologies and the resulting energy needs, which are generated by energy sources, have increased consumption. And as the years have gone by, these energy sources, which require a series of resources, most of which were natural and finite, have meant that we now find ourselves in a situation in which the lack of resources is a reality

The Acinetobacter baumannii Oxymoron: Commensal Hospital Dweller Turned Pan-Drug-Resistant Menace

During the past few decades Acinetobacter baumannii has evolved from being a commensal dweller of health-care facilities to constitute one of the most annoying pathogens responsible for hospitalary outbreaks and it is currently considered one of the most important nosocomial pathogens. In a prevalence study of infections in intensive care units conducted among 75 countries of the five continents, this microorganism was found to be the fifth most common pathogen. Two main features contribute to the success of A. baumannii: (i) A. baumannii exhibits an outstanding ability to accumulate a great variety of resistance mechanisms acquired by different mechanisms, either mutations or acquisition of genetic elements such as plasmids, integrons, transposons, or resistant islands, making this microorganism multi- or pan-drug-resistant and (ii) The ability to survive in the environment during prolonged periods of time which, combined with its innate resistance to desiccation and disinfectants, makes A. baumannii almost impossible to eradicate from the clinical setting. In addition, its ability to produce biofilm greatly contributes to both persistence and resistance. In this review, the pathogenesis of the infections caused by this microorganism as well as the molecular bases of antibacterial resistance and clinical aspects such as treatment and potential future therapeutic strategies are discussed in depth

Habitar desde un nuevo enfoque : la fusión campo-ciudad aplicada a un modelo de vivienda.

En el mundo occidental, el problema de la vivienda se origina con el surgimiento y desarrollo del modo de producción industrial, ocurrido en Europa entre finales del siglo XVIII, el XIX y comienzos del XX. Este fenómeno desata migraciones campesinas de insólita magnitud hacia la ciudad, generando un desbordado incremento del área urbana y una enorme crisis en la habitabilidad de la misma. En América Latina, el proceso de urbanización es también el origen de la crisis de la vivienda, aunque no es un reflejo exacto del ocurrido en Europa. El modo de producción industrial capitalista es de tipo liviano y sólo se inicia hacia la tercera década del siglo XX y su desarrollo es relativamente débil. Sin embargo, el principal factor para el desborde de la ciudad moderna latinoamericana, es resultante de violentos despojos de tierras campesinas e indígenas, lo que ha impulsado enormes migraciones hacia la ciudad. Este trastorno cultural ha sido predominantemente ignorado en las políticas para solucionar el problema de su alojamiento. Se ignora o invisibiliza por ejemplo, el milenario papel de la población campesina en la producción de alimentos para la población urbana. En consecuencia, la investigación se propuso realizar un avance exploratorio, sin pretender llegar a soluciones teóricas y prácticas definitivas, sobre el tema de la fusión campo-ciudad, mediante un nuevo concepto de vivienda que visualice desde el diseño, la posibilidad de ir superando el coyuntural obstáculo de la contradicción campo-ciudad. Consecuentemente, la investigación planteó los siguientes objetivos particulares: Elaboración de una propuesta habitacional de vivienda para sectores sociales de origen campesino, donde el urbanismo, la arquitectura y el paisajismo incorporen la verde fuerza del suelo como valor esencialmente estructurante de un nuevo modo de habitar la ciudad y el campo

A Scientific Data Lake for Open Science

A common set of tools is being adopted by different and multi-disciplinary scientific communities to establish a coherent orchestration layer for the Research Infrastructures (RI) and for the sites providing resources to one or many of these RIs. The orchestration provided by these common set of tools include data management, data transfer and a common Identity Management, enabling a global vision of a single data pool easing the implementation of policies, rules and data life-cycles acting on the Scientific-Data Lake infrastructure as a whole, meaning all sites are working and seen as one

Computing in High Energy and Nuclear Physics (CHEP) 2012

Scientific experiments are producing huge amounts of data, and they continue increasing the size of their datasets and the total volume of data. These data are then processed by researchers belonging to large scientific collaborations, with the Large Hadron Collider being a good example. The focal point of Scientific Data Centres has shifted from coping efficiently with PetaByte scale storage to deliver quality data processing throughput. The dimensioning of the internal components in High Throughput Computing (HTC) data centers is of crucial importance to cope with all the activities demanded by the experiments, both the online (data acceptance) and the offline (data processing, simulation and user analysis). This requires a precise setup involving disk and tape storage services, a computing cluster and the internal networking to prevent bottlenecks, overloads and undesired slowness that lead to losses cpu cycles and batch jobs failures. In this paper we point out relevant features for running a successful storage setup in an intensive HTC environmen

Federated data storage evolution in HENP: data lakes and beyond

Storage has been identified as the main challenge for the future distributed computing infrastructures: Particle Physics (HL-LHC, DUNE, Belle-II), Astrophysics and Cosmology (SKA, LSST). In particular, the High Luminosity LHC (HL-LHC) will begin operations in the year of 2026 with expected data volumes to increase by at least an order of magnitude as compared with the present systems. Extrapolating from existing trends in disk and tape pricing, and assuming flat infrastructure budgets, the implications for data handling for end-user analysis are significant. HENP experiments need to manage data across a variety of mediums based on the types of data and its uses: from tapes (cold storage) to disks and solid state drives (hot storage) to caches (including world wide access data in clouds and “data lakes”). The DataLake R&D; project aims at exploring an evolution of distributed storage while bearing in mind very high demands of the HL-LHC era. Its primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centers connected by fat networks and operated as a single service. Such storage would host a large fraction of the data and optimize the cost, eliminating inefficiencies due to fragmentation. In this talk we will highlight current status of the project, its achievements, interconnection with other research activities in this field like WLCG-DOMA and ATLAS-Google DataOcean, and future plans