Estado del arte de la tendencia de la ciencia de datos aplicada a la administración de redes de computadores.
This article will show the state of art about data science applied to computational networks. For this work, the analysis was realized by the studies and the applications related, besides, success and fail study cases, theories, guide lines, tools, and so on used to data science. The research...
| Autor Principal: | Aguirre Lozano, Claudio Vinicio |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/15905 |
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| Sumario: |
This article will show the state of art about data
science applied to computational networks.
For this work, the analysis was realized by the
studies and the applications related, besides,
success and fail study cases, theories, guide lines,
tools, and so on used to data science.
The research question is, if the data science
analysis can be used to help to better decisions, by
of trending in technological infrastructure that
showed in their output data.
The scientific methodology is the procedure
investigative used essentially in the creation of
knowledge based on the science, the same that has
been used in this article
The results finded showed an increase of
measures of output data, especially in nodes of
data centers in their internal measures and
interactions each other’s. Also, worth highlighting
is business applications existed to optimize and
centralize information for a better manage by
techniques of data science when a millions of data
must be evaluated.
Finally, one of the results is the growing of
data is significant, because by the analysis of
many data showed new relationships that before
were not be considerated, by example: the CPU
temperature and data management to got a better
efficiently of power. |
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