Implementación de computación en la nube en el laboratorio ADA de la facultad de sistemas para analítica de datos : evaluación de hipervisores y contenedores para la gestión de computación en la nube para el laboratorio ADA.

Abstract

In this work, the evaluation of virtualization technologies based on hypervisors and containers was carried out, reaching the conclusion that containers are the most appropriate tools for the implementation of cloud computing for the Advanced Data Analysis (ADA) laboratory of the National Polytechnic School. As a result of this evaluation, the JupyterHub software was implemented on a high performance server in a Docker container so that researchers and graduate students can take advantage of the power of this technology by being able to run their data science algorithms in R and Python languages on a computer with high computational capacity. In addition, integration with Hadoop was achieved where users save and read files in the Hadoop file system through code that acts as an interface with this storage software. The server has graphic processing hardware and therefore it was necessary to install and configure additional software for container compatibility with this device since by default the containers do not have this support. With the implementation of this environment, the requirements identified by the laboratory users are satisfied. The importance of this project lies in the need for a high performance computing environment and the need for tools to manage server resources in the ADA laboratory. The design and implementation of this project provides users with the necessary environment for their high-volume data analysis tasks in this laboratory.