[EN] MapReduce is one of the most widely used programming models for analysing large-scale datasets, i.e. Big Data. In recent years, serverless computing and, in particular, Functions as a Service (FaaS) has surged as an ...
Loor Maspons, Luis Enrique(Universitat Politècnica de València, 2016-06-21)
[EN] Nowadays hospitals store a large amount of radiology reports in different Radiology Information
Systems (RIS) from different modalities, such as ultrasound, MRI scans, CT scans, mammograms, Xrays,
etc. These reports ...
Mata Llorca, Manuel(Universitat Politècnica de València, 2020-09-08)
[ES] Este Trabajo Fin de Master consiste, por una parte, en el análisis de un subconjunto de herramientas informáticas del ecosistema de Apache Hadoop orientadas a cubrir el ciclo de vida completo de un proyecto de Big ...
Herrera Hernández, José(Universitat Politècnica de València, 2016-05-27)
[EN] The massive amount of multimedia information currently available through the Internet demands
efficient techniques to extract knowledge from that Big Data. In this work, we propose an architecture
to capture, process, ...
Task scheduling has a significant impact on the performance of the MapReduce computing
framework. In this paper, a scheduling problem of periodical batch jobs with makespan minimization
is considered. The problem is ...
Peralta Macías, Ernesto(Universitat Politècnica de València, 2016-10-03)
[ES] En este TFG describiremos el concepto de big data y las arquitectura y componentes de las
herramientas software Apache Hadoop y Apache Spark. Instalaremos y configuraremos Hadoop
y Spark en un cluster de 32 ordenadores ...