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Herrera - Optimización de arquitecturas distribuidas para el procesado de datos masivos.pdf
Tesis_Doctoral_Jose_Herrera-resumen.pdf
Indice_tesis_jhh.pdf

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Analysis of institutional authors

Moltó Martínez, GermánSupervisor

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October 10, 2024
Thesis & Supervision Work
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Doctoral Thesis
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Optimización de arquitecturas distribuidas para el procesado de datos masivos

Date read: 2020-09-02

{_iPublic_txt_centro_}: | ID: 10251/149374

Author: Herrera Hernández, José

Director: Moltó Martínez, Germán

Affiliations

Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació - Author
Universitat Politècnica de València - Author
Universitat Politècnica de València; Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació - Author
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General description

Tesis por compendio
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Keywords

Big dataBio-inspired modelComputer architectureContenedores softwareElasticidadGridHadoopIndustry, innovation and infrastructureMultimedia

Quality index

Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10251/149374
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 9 - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, with a probability of 52% according to the mBERT algorithm developed by Aurora University.
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