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Development of a Server for the Implementation of Data Processing Pipelines and ANN Training

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Identifiers

URI: http://hdl.handle.net/2183/29368
DOI: 10.3390/engproc2021007038

Publication date

2021

Authors

Galdo, Brais

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Bibliographic citation

Galdo, B.; Rivero, D.; Fernandez-Blanco, E. Development of a Server for the Implementation of Data Processing Pipelines and ANN Training. Eng. Proc. 2021, 7, 38. https://doi.org/10.3390/engproc2021007038

Type of academic work

Academic degree

Abstract

[Abstract] Data processing and the use of machine learning techniques make it possible to solve a wide variety of problems. The great disadvantage of using this type of technology is the enormous amount of computation involved. This is why we have tried to develop an architecture that makes the best possible use of the resources available on each machine. The growth of cloud computing and the rise of virtualization techniques have led to a development that allows these tasks to be carried out in a more optimized way.

Description

Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.

Keywords

Machine learning Artificial neural networks Deep learning Data processing Web server Virtualization Docker

Editor version

https://doi.org/10.3390/engproc2021007038

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Atribución 3.0 España

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Atribución 3.0 España

Except where otherwise noted, this item's license is described as Atribución 3.0 España