{"id":4147,"date":"2020-01-16T12:34:10","date_gmt":"2020-01-16T11:34:10","guid":{"rendered":"http:\/\/10.128.3.28\/?p=4147"},"modified":"2025-01-21T12:24:03","modified_gmt":"2025-01-21T11:24:03","slug":"investigadores-de-cenits-han-publicado-el-articulo-a-methodology-for-network-analysis-to-improve-the-cyber-physicals-communications-in-next-generation-networks-en-la-revista-cientifica-internacion","status":"publish","type":"post","link":"https:\/\/computaex.es\/en\/colaboracion\/investigadores-de-cenits-han-publicado-el-articulo-a-methodology-for-network-analysis-to-improve-the-cyber-physicals-communications-in-next-generation-networks-en-la-revista-cientifica-internacion\/","title":{"rendered":"Investigadores de C\u00e9nitS han publicado el art\u00edculo \u00abA methodology for network analysis to improve the cyber-physicals communications in next-generation networks\u00bb en la revista cient\u00edfica internacional Sensors especializada y con factor de impacto 3,031."},"content":{"rendered":"

Esta investigaci\u00f3n se centra en la anal\u00edtica del comportamiento de los usuarios de las redes de datos, aplicando t\u00e9cnicas de Machine Learning a conjuntos de datos abiertos.\u00a0 Los Sistemas Ciber-F\u00edsicos (CPS) permiten crear nuevos servicios y aplicaciones que integran dispositivos interconectados a trav\u00e9s del Internet de las Cosas. La red de datos, y en especial la red 5G, ser\u00e1 la base que interconecte este nuevo paradigma, incrementando la cobertura de los dispositivos, reduciendo la latencia y mejorando el ancho de banda.<\/p>\n

El incremento del n\u00famero de dispositivos interconectados (sensores, actuadores, dispositivos m\u00f3viles, tabletas, etc..) relacionados con los CPS, conllevar\u00e1n el aumento del uso de la red y, por lo tanto, las operadoras requerir\u00e1n de nuevas herramientas como la anal\u00edtica de datos de red para disponer del conocimiento, tanto de los recursos disponibles, como de los usuarios y equipos que hacen uso de ella, permitiendo tomar decisiones sobre la forma m\u00e1s inteligente de explotar los recursos y basadas en los datos extra\u00eddos de la propia red. En este art\u00edculo se describe una metodolog\u00eda para analizar la informaci\u00f3n real de la red proporcionada por los operadores de telecomunicaciones.<\/p>\n

Para ello se han utilizado varios conjuntos de datos proporcionados por Telecom Italia, analizando dos zonas de inter\u00e9s, la primera es la ciudad de Mil\u00e1n y sus alrededores y la segunda es la provincia de Trento. Estas dos \u00e1reas de inter\u00e9s describen zonas muy diferenciadas entre s\u00ed, la primera es una zona metropolitana, con un gran volumen de usuarios, mientras que la segunda es una zona monta\u00f1osa, mayoritariamente rural. De esta forma, en este art\u00edculo se analizan los comportamientos de dos zonas completamente diferenciadas, introduciendo algoritmos que permiten agrupar comportamientos comunes en un \u00fanico conjunto de datos, estableciendo relaciones entre ellos.<\/p>\n

M\u00e1s informaci\u00f3n:<\/p>\n

D. Cort\u00e9s-Polo, L.I. Jim\u00e9nez Gil, J. Gonz\u00e1lez-S\u00e1nchez and J. Calle-Cancho. A Methodology for Network Analysis to Improve the Cyber-Physicals Communications in Next-Generation Networks. Sensors 2020, 20(8), 2247; doi:10.3390\/s20082247.<\/p>\n

Recientemente se ha confirmado la concesi\u00f3n del proyecto\u00a0EuroCC<\/a>\u00a0– National Competence Centres in the framework of EuroHPC<\/em>, presentado a la convocatoria\u00a0EuroHPC-04-2019<\/a>\u00a0de\u00a0Horizonte 2020<\/a>, en el que participa\u00a0C\u00e9nitS<\/a>–COMPUTAEX<\/a>\u00a0junto a varios centros de la Red Espa\u00f1ola de Supercomputaci\u00f3n (RES<\/a>).<\/p>\n

EuroCC pretende establecer una red de Centros Nacionales de Competencia en HPC (High-Performance Computing, Computaci\u00f3n de Altas Prestaciones) entre los 31 pa\u00edses europeos participantes en el proyecto, miembros y asociados. El objetivo es proporcionar una amplia cartera de servicios adaptada a las respectivas necesidades industriales, acad\u00e9micas y de las administraciones p\u00fablicas de cada estado, para que puedan beneficiarse de las ventajas del dominio, la experiencia y los recursos HPC disponibles en Europa.<\/p>\n

Se pretende de este modo potenciar y fortalecer las competencias nacionales en computaci\u00f3n de alto rendimiento, as\u00ed como las capacidades de an\u00e1lisis de datos de alto rendimiento (HPDA) e Inteligencia artificial (AI) para cerrar las brechas existentes y aumentar la usabilidad de estas tecnolog\u00edas en los diferentes pa\u00edses, proporcionando as\u00ed un punto de referencia de excelencia europea.<\/p>\n

EuroCC, adem\u00e1s de gestionar y monitorizar la evoluci\u00f3n de estos Centros Nacionales, les ayudar\u00e1 a establecer sus propios marcos de operaci\u00f3n y al mismo tiempo tener acceso y hacer un mejor uso de las experiencias y conocimientos disponibles actualmente en Espa\u00f1a y Europa.<\/p>","protected":false},"excerpt":{"rendered":"

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