DISEÑO E IMPLEMENTACIÓN DE UNA RED FOG PARA SMART HEALTHCARE
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2020-12-14
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[ES] El interés de las sociedades actuales por la salud, sacudidas por nuevas amenazas como la actual pandemia, ha suscitado la necesidad de encontrar alternativas que optimicen recursos para aliviar la presión a la que los sistemas de salud se están viendo sometidos. Las aplicaciones que aportan los sistemas de Fog Computing ofrecen enfoques competentes y estructurados de las que el sistema sanitario puede beneficiarse para constituir sistemas de Smart Healthcare eficientes. El presente trabajo de fin de grado consiste en el diseño de una topología aplicada a Smart Healthcare en la que se implementan diferentes variantes, analizado diversos parámetros, como la latencia y el tiempo de ejecución. El objetivo es investigar las redes basadas en el paradigma Fog Computing,
estudiando su funcionamiento en diferentes topologías y estrategias de planificación de tareas. Para tal fin, se utilizará el simulador iFogSim, popular en los estudios de este tipo de aplicaciones.
[EN] The interest of current societies in health, shaken by new threats such as the present pandemic, has led to the need to find alternatives that optimize resources to relieve the pressure to which health systems are being subjected. The applications provided by Fog Computing offer both competent and structured approaches from which the healthcare system can benefit to develop efficient Smart Healthcare systems. This end-of-degree project consists of the design of a topology applied to Smart Healthcare in which different variants are implemented, analyzing various parameters, such as latency and execution time. The objective is to investigate the networks based on the Fog Computing paradigm, studying their performance in different topologies and task-planning strategies. For that purpose, it will be used the iFogSim simulator, popular in the studies of this kind of applications.
[EN] The interest of current societies in health, shaken by new threats such as the present pandemic, has led to the need to find alternatives that optimize resources to relieve the pressure to which health systems are being subjected. The applications provided by Fog Computing offer both competent and structured approaches from which the healthcare system can benefit to develop efficient Smart Healthcare systems. This end-of-degree project consists of the design of a topology applied to Smart Healthcare in which different variants are implemented, analyzing various parameters, such as latency and execution time. The objective is to investigate the networks based on the Fog Computing paradigm, studying their performance in different topologies and task-planning strategies. For that purpose, it will be used the iFogSim simulator, popular in the studies of this kind of applications.