3 research outputs found

    Rol de la gesti贸n de la informaci贸n en entornos de trabajo virtual

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    El presente trabajo aborda una revisi贸n de literatura para identificar el rol de la gesti贸n de la informaci贸n en entornos de trabajo virtual. En total se analizaron 123 art铆culos cient铆ficos seleccionados de dos bases de datos acad茅micas: Scopus y Web of Science, con una ventana de tiempo de 15 a帽os (2004 a 2018). De acuerdo con los hallazgos, se pudo identificar que las tecnolog铆as de la informaci贸n y la comunicaci贸n (TIC), el entorno de trabajo y la seguridad de la informaci贸n, la implementaci贸n de las etapas de la gesti贸n de la informaci贸n, la confianza, el desarrollo de software, el liderazgo, la selecci贸n y capacitaci贸n del personal y la comunicaci贸n, corresponden a las categor铆as que tienen mayor incidencia sobre la gesti贸n de la informaci贸n en los entornos de trabajo virtual de las organizaciones hoy d铆a

    Interorganizational Information Systems: Systematic Literature Mapping Protocol

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    Organizations increasingly need to establish partnerships with other organizations to face environment changes and remain competitive. This interorganizational relationship allows organizations to share resources and collaborate to handle business opportunities better. This technical report present the protocol of the systematic mapping performed to understand what is an IOIS and how these systems support interorganizational relationships

    LHCb Data Management on the Computing Grid

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    The LHCb detector is one of the four experiments being built to harness the proton-proton collisions provided by the Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN). The data rate expected, when the LHC experiments are fully operational, eclipses that of any previous scientific experiments and has motivated the adoption of a grid computing paradigm to store and process the data. Managing PetaBytes of data in a distributed environment provides a rich set of challenges related to scalability, reliability and performance. This thesis will present the data management requirements for executing the workload of the LHCb collab- oration. We present the systems designed that support all aspects of the grid data management for LHCb, from data transfer, to data integrity, and efficient data access. The distributed computing environment is inherently unstable and much focus has been made on providing systems that are ro- bust and resilient to observed failures
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