{"id":5560,"date":"2018-08-04T21:56:31","date_gmt":"2018-08-05T04:56:31","guid":{"rendered":"http:\/\/www.couchbase.com\/blog\/?p=5560"},"modified":"2025-06-13T23:43:04","modified_gmt":"2025-06-14T06:43:04","slug":"tpcx-iot-benchmark-with-cisco-couchbase","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/tpcx-iot-benchmark-with-cisco-couchbase\/","title":{"rendered":"Evaluaci\u00f3n comparativa TPCx-IoT con Cisco y Couchbase."},"content":{"rendered":"<p><span style=\"font-weight: 400\">La aplicaci\u00f3n Internet de las Cosas (IoT) aporta una nueva dimensi\u00f3n a la carga de trabajo de las bases de datos.  Lo que hace que IoT haga clic es la disponibilidad de datos de los dispositivos de borde en las pasarelas, servidores para an\u00e1lisis instant\u00e1neos, rollups, etc.  Los datos generados son heterog\u00e9neos en t\u00e9rminos de esquema y siempre est\u00e1n evolucionando. Por ejemplo, cada c\u00e1mara o smartphone produce metadatos fotogr\u00e1ficos de forma diferente.  La propia c\u00e1mara o el smartphone modifican el esquema para m\u00faltiples versiones. Esto es as\u00ed para los distintos tipos de dispositivos. La representaci\u00f3n JSON de los datos es autodescriptiva y, por tanto, el modelo es flexible.  Por lo tanto, modelar la representaci\u00f3n b\u00e1sica de datos en JSON tiene sentido.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5561\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-05-21-at-12.15.30-PM-300x192.png\" alt=\"\" width=\"519\" height=\"333\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.15.30-PM-300x192.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.15.30-PM-20x13.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.15.30-PM.png 621w\" sizes=\"auto, (max-width: 519px) 100vw, 519px\" \/><\/p>\n<p>Los sistemas que generan los datos para IoT pueden utilizar RDBMS, sistemas NoSQL, JSON simple, XML o formato propietario. Con los datos heterog\u00e9neos procedentes de todas las fuentes y dispositivos, el Internet de las Cosas se convierte en el Internet de los Datos.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5562\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-05-21-at-12.16.07-PM-300x193.png\" alt=\"\" width=\"543\" height=\"349\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.16.07-PM-300x193.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.16.07-PM-20x13.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-12.16.07-PM.png 628w\" sizes=\"auto, (max-width: 543px) 100vw, 543px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><b>Una arquitectura para la gesti\u00f3n de datos IoT<\/b><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400\">Los datos de los sensores pueden agregarse, filtrarse y analizarse en el propio sensor o dispositivo. Por ejemplo, un sensor de temperatura para encender o apagar la calefacci\u00f3n. Las pasarelas recogen los datos de varios sensores e intentan darles sentido.  Agregan los datos a lo largo del tiempo, aunque por un periodo limitado (diario o semanal). Estos datos se env\u00edan a la nube para mantener los datos completos y realizar an\u00e1lisis m\u00e1s profundos. Ejemplo: temporada tras temporada, a\u00f1o tras a\u00f1o, etc.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5563\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-05-21-at-1.16.41-PM-300x151.png\" alt=\"\" width=\"573\" height=\"288\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-1.16.41-PM-300x151.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-1.16.41-PM-768x387.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-1.16.41-PM-20x10.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-1.16.41-PM.png 776w\" sizes=\"auto, (max-width: 573px) 100vw, 573px\" \/><\/p>\n<p><span style=\"font-weight: 400\">Las cargas de trabajo tradicionales (representadas por TPC-C, TPC-E) tienden a ser cargas de trabajo de lectura intensiva en un esquema OLTP.  La generaci\u00f3n y el uso de datos de IoT requieren mucha escritura. Gateway obtiene todos los datos de los sensores. Genera la primera ronda de inteligencia inmediata y despu\u00e9s, opcionalmente, filtra y agrega los datos antes de enviarlos al backend. As\u00ed pues, el Consejo TPC ha creado un nuevo punto de referencia, <\/span><a href=\"https:\/\/www.tpc.org\/tpcx-iot\/\"><span style=\"font-weight: 400\">TPCx-IOT<\/span><\/a><span style=\"font-weight: 400\"> \u00a0para medir la relaci\u00f3n calidad-precio de los sistemas IoT Gateways para casos de uso IoT. <\/span><\/p>\n<p><b>Esquema de TPCx-IOT:<\/b><\/p>\n<div id=\"attachment_5564\" style=\"width: 620px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5564\" class=\"wp-image-5564\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-05-21-at-5.56.33-PM-300x157.png\" alt=\"\" width=\"610\" height=\"319\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-5.56.33-PM-300x157.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-5.56.33-PM-768x403.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-5.56.33-PM-20x10.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-5.56.33-PM.png 812w\" sizes=\"auto, (max-width: 610px) 100vw, 610px\" \/><p id=\"caption-attachment-5564\" class=\"wp-caption-text\">Arquitectura IoT con sensores, pasarelas y sistemas backend. (Fuente: TPC.org)<\/p><\/div>\n<p><span style=\"font-weight: 400\">TPCx-IOT proporciona un kit completo para implementar el benchmark para una base de datos.  Incluye un marco para generar los datos, emitir consultas, medir el rendimiento y, a continuaci\u00f3n, calcular la relaci\u00f3n precio-rendimiento.  El conjunto de datos se basa en datos de sensores de subestaciones el\u00e9ctricas modernas. Los datos se cargan continuamente en la pasarela y las consultas anal\u00edticas en tiempo real se ejecutan de forma continua.<\/span><\/p>\n<p><span style=\"font-weight: 400\">A continuaci\u00f3n se describe en un diagrama de bloques el escenario y la funci\u00f3n de las pasarelas en el marco del IoT.<\/span><\/p>\n<p><span style=\"font-weight: 400\">La carga de trabajo en s\u00ed es sencilla.  El marco b\u00e1sico deber\u00eda ser familiar para la gente que ha trabajado con YCSB. El funcionamiento y la distribuci\u00f3n de la carga de trabajo se han personalizado para el caso de uso IoT. Las operaciones de inserci\u00f3n\/carga y de exploraci\u00f3n se ejecutan en paralelo. \u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5565\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-05-21-at-6.04.00-PM-300x90.png\" alt=\"\" width=\"553\" height=\"166\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-6.04.00-PM-300x90.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-6.04.00-PM-20x6.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-05-21-at-6.04.00-PM.png 702w\" sizes=\"auto, (max-width: 553px) 100vw, 553px\" \/><\/p>\n<p><b>TPCx-IOT funciona con Couchbase.<\/b><\/p>\n<p><span style=\"font-weight: 400\">El controlador de carga de trabajo, las operaciones de inserci\u00f3n (carga) y exploraci\u00f3n fueron implementadas por Cisco y Couchbase con \u00e9xito para crear un controlador de carga de trabajo para <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/\"><span style=\"font-weight: 400\">Couchbase<\/span><\/a><span style=\"font-weight: 400\">.  Couchbase es una base de datos NoSQL distribuida basada en JSON de alto rendimiento para soportar aplicaciones escalables para web, m\u00f3vil e IoT. Aqu\u00ed est\u00e1n los resultados de la auditor\u00eda previa para Couchbase en hardware Cisco M4. Ver m\u00e1s detalles en <a href=\"https:\/\/www.couchbase.com\/blog\/es\/benchmarks\/\">https:\/\/www.couchbase.com\/benchmarks<\/a><\/span><span style=\"font-weight: 400\">\u00a0y para cifras comparativas v\u00e9ase el <a href=\"https:\/\/www.tpc.org\/tpcx-iot\/\">Sitio TPCx-IoT<\/a>.<\/span>\u00a0Gracias al equipo de Cisco por su liderazgo en TPCx-IoT y su colaboraci\u00f3n para portar los controladores del benchmark a Couchbase y ejecutar el benchmark.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5566\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-300x74.png\" alt=\"\" width=\"602\" height=\"148\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-300x74.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-1024x253.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-768x190.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-20x5.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM-1320x326.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/08\/Screen-Shot-2018-08-04-at-9.43.41-PM.png 1504w\" sizes=\"auto, (max-width: 602px) 100vw, 602px\" \/><\/p>","protected":false},"excerpt":{"rendered":"<p>The Internet of Things (IoT) application brings a new dimension to the database workload. \u00a0What makes IoT click is the availability of data from the edge devices at the gateways, servers for instant analysis, rollups, etc. \u00a0Data generated is heterogeneous [&hellip;]<\/p>\n","protected":false},"author":55,"featured_media":5561,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[9417],"tags":[2157,1337,1261,1725,2261],"ppma_author":[8929],"class_list":["post-5560","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-performance","tag-cisco","tag-iot","tag-json","tag-nosql-database","tag-tpc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>TPCx-IoT benchmark with Cisco &amp; 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