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Listar por autor "Naranjo-Delgado, Diana María"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Naranjo-Delgado, Diana María"

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    A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing 
    Naranjo, Diana M.; Prieto, José Ramón; Moltó, Germán; Calatrava Arroyo, Amanda (MDPI AG, 2019-07-01)
    [EN] Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world ...
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    Accelerated serverless computing based on GPU virtualization 
    Naranjo-Delgado, Diana María; Risco, Sebastián; Alfonso Laguna, Carlos De; Pérez-González, Alfonso María; Blanquer Espert, Ignacio; Moltó, Germán (Elsevier, 2020-05)
    [EN] This paper introduces a platform to support serverless computing for scalable event-driven data processing that features a multi-level elasticity approach combined with virtualization of GPUs. The platform supports ...
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    Insights from Learning Analytics for Hands-On Cloud Computing Labs in AWS 
    Moltó, Germán; Naranjo-Delgado, Diana María; Segrelles Quilis, José Damián (MDPI AG, 2020-12)
    [EN] Cloud computing instruction requires hands-on experience with a myriad of distributed computing services from a public cloud provider. Tracking the progress of the students, especially for online courses, requires one ...
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    Serverless Computing Strategies on Cloud Platforms 
    Naranjo Delgado, Diana María (Universitat Politècnica de València, 2021-02-08)
    [ES] Con el desarrollo de la Computación en la Nube, la entrega de recursos virtualizados a través de Internet ha crecido enormemente en los últimos años. Las Funciones como servicio (FaaS), uno de los modelos de servicio ...
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    Serverless Workflows for Containerised Applications in the Cloud Continuum 
    Risco, Sebastián; Moltó, Germán; Naranjo-Delgado, Diana María; Blanquer Espert, Ignacio (Springer-Verlag, 2021-09)
    [EN] This paper introduces an open-source platform to support serverless computing for scientific data-processing workflow-based applications across the Cloud continuum (i.e. simultaneously involving both on-premises and ...