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http://hdl.handle.net/10609/81520
Title: Predicción de errores en entornos de computación distribuida
Author: Esmorís Pena, Alberto Manuel
Director: Isern Alarcón, David
Tutor: Ventura Royo, Carles  
Others: Universitat Oberta de Catalunya
Keywords: data processing center
artificial intelligence
prediction error
Issue Date: Jun-2018
Publisher: Universitat Oberta de Catalunya
Abstract: Applied modern techniques (related to Artificial Intelligence, Machine Learning and Data Mining) based in statistics to build a software capable of classifying jobs running in a Data Center attending to its termination/exit status. The software takes data from a SLURM (Simple Linux Utility for Resource Management) environment and then transforms it into an adequate format (CSV) to use in combination with C5.0 algorithm, in order to extract classification rules from the data set. Obtained classification rules are used by the software to classify/predict jobs. Also, it is capable of performing certain queries that work as filters that can be applied over data. Furthermore, it has a notification system which can be configured using the aforementioned queries to consider predictions of interest.
Language: Spanish
URI: http://hdl.handle.net/10609/81520
Appears in Collections:Bachelor thesis, research projects, etc.

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