{"id":16516,"date":"2024-05-18T16:20:00","date_gmt":"2024-05-18T14:20:00","guid":{"rendered":"https:\/\/www.quobis.com\/?p=16516"},"modified":"2025-09-29T16:28:13","modified_gmt":"2025-09-29T14:28:13","slug":"mlsip-simulacion-masiva-de-trafico-sip","status":"publish","type":"post","link":"https:\/\/www.quobis.com\/es\/2024\/05\/18\/mlsip-simulacion-masiva-de-trafico-sip\/","title":{"rendered":"MLSIP | Simulaci\u00f3n masiva de tr\u00e1fico SIP"},"content":{"rendered":"\n<p>Para que los algoritmos de Machine Learning de <a href=\"https:\/\/www.quobis.com\/es\/proyectos-de-innovacion\/machine-learning-ml-sip\/\">MLSIP<\/a> aprendan a optimizar el tr\u00e1fico, necesitan una materia prima fundamental: <strong>datos<\/strong>. Y no cualquier dato, sino un conjunto de datos masivo, variado y representativo que simule las complejidades de un entorno de producci\u00f3n real. Con este objetivo, el equipo de Quobis ha implementado un sofisticado entorno de entrenamiento.<\/p>\n\n\n\n<p>El coraz\u00f3n de este entorno es <a href=\"https:\/\/sipp.sourceforge.net\/\">SIPp<\/a>, una herramienta de c\u00f3digo abierto que genera un gran volumen de tr\u00e1fico SIP simulado. SIPp act\u00faa tanto como el emisor de la llamada (caller), seleccionando aleatoriamente entre diferentes c\u00f3decs como G.722, PCMA u Opus, como el receptor (callee), distribuido en cuatro rutas simuladas.<\/p>\n\n\n\n<p>La clave de este entorno reside en la configuraci\u00f3n de estas cuatro rutas. Cada una ha sido programada con reglas de negocio espec\u00edficas para introducir fallos y restricciones de forma controlada.&nbsp;<\/p>\n\n\n\n<p>Todo este tr\u00e1fico es gestionado por un proxy Kamailio, que en esta fase de entrenamiento <a href=\"https:\/\/www.quobis.com\/es\/2024\/02\/19\/mlsip-enrutamiento-inteligente-en-contact-centers\/\">enruta<\/a> las llamadas de forma aleatoria entre las cuatro rutas. Esta aleatoriedad es deliberada: asegura que se recopilen datos de todas las rutas, tanto de \u00e9xito como de fracaso, generando un dataset equilibrado y heterog\u00e9neo. Cada llamada, con su resultado, se almacena como un CDR, creando las decenas de miles de ejemplos que los modelos de IA necesitan para aprender a distinguir una buena ruta de una mala.<\/p>\n\n\n<style>.kadence-column16516_5b0425-dc > .kt-inside-inner-col,.kadence-column16516_5b0425-dc > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column16516_5b0425-dc > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column16516_5b0425-dc > .kt-inside-inner-col{flex-direction:column;}.kadence-column16516_5b0425-dc > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column16516_5b0425-dc > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column16516_5b0425-dc{position:relative;}@media all and (max-width: 1024px){.kadence-column16516_5b0425-dc > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column16516_5b0425-dc > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column16516_5b0425-dc\"><div class=\"kt-inside-inner-col\"><style>.kb-row-layout-id16516_92496d-ee > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id16516_92496d-ee > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id16516_92496d-ee > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id16516_92496d-ee > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id16516_92496d-ee > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id16516_92496d-ee > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id16516_92496d-ee alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column16516_fb021c-d2 > .kt-inside-inner-col,.kadence-column16516_fb021c-d2 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column16516_fb021c-d2 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column16516_fb021c-d2 > .kt-inside-inner-col{flex-direction:column;}.kadence-column16516_fb021c-d2 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column16516_fb021c-d2 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column16516_fb021c-d2{position:relative;}@media all and (max-width: 1024px){.kadence-column16516_fb021c-d2 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column16516_fb021c-d2 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column16516_fb021c-d2\"><div class=\"kt-inside-inner-col\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"778\" height=\"70\" src=\"https:\/\/www.quobis.com\/wp-content\/uploads\/2025\/06\/ministerio-de-transformacion-digital.png\" alt=\"\" class=\"wp-image-15865\" srcset=\"https:\/\/www.quobis.com\/wp-content\/uploads\/2025\/06\/ministerio-de-transformacion-digital.png 778w, https:\/\/www.quobis.com\/wp-content\/uploads\/2025\/06\/ministerio-de-transformacion-digital-300x27.png 300w, https:\/\/www.quobis.com\/wp-content\/uploads\/2025\/06\/ministerio-de-transformacion-digital-768x69.png 768w\" sizes=\"auto, (max-width: 778px) 100vw, 778px\" \/><\/figure>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Para que los algoritmos de Machine Learning de MLSIP aprendan a optimizar el tr\u00e1fico, necesitan una materia prima fundamental: datos. Y no cualquier dato, sino un conjunto de datos masivo, variado y representativo que simule las complejidades de un entorno de producci\u00f3n real. Con este objetivo, el equipo de Quobis ha implementado un sofisticado entorno&#8230;<\/p>\n","protected":false},"author":9,"featured_media":12816,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[680],"tags":[139,1001,245,768,781,159],"class_list":["post-16516","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-proyecto-innovacion","tag-5g-es","tag-call-routing","tag-ia","tag-machine-learning","tag-mlsip","tag-sip"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>MLSIP | Simulaci\u00f3n masiva de tr\u00e1fico SIP - Quobis<\/title>\n<meta name=\"description\" content=\"El coraz\u00f3n de este entorno es SIPp, una herramienta de c\u00f3digo abierto que genera un gran volumen de tr\u00e1fico SIP simulado.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.quobis.com\/es\/2024\/05\/18\/mlsip-simulacion-masiva-de-trafico-sip\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MLSIP | Simulaci\u00f3n masiva de tr\u00e1fico SIP\" \/>\n<meta property=\"og:description\" content=\"Para que los algoritmos de Machine Learning de MLSIP aprendan a optimizar el tr\u00e1fico, necesitan una materia prima fundamental: datos. Y no cualquier dato,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.quobis.com\/es\/2024\/05\/18\/mlsip-simulacion-masiva-de-trafico-sip\/\" \/>\n<meta property=\"og:site_name\" content=\"Quobis\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/quobis\" \/>\n<meta property=\"article:published_time\" content=\"2024-05-18T14:20:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-29T14:28:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.quobis.com\/wp-content\/uploads\/2023\/11\/MLSIP-banner.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"640\" \/>\n\t<meta property=\"og:image:height\" content=\"427\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Iago Fern\u00e1ndez Gonz\u00e1lez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@influenciador\" \/>\n<meta name=\"twitter:site\" content=\"@Quobis\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Iago Fern\u00e1ndez Gonz\u00e1lez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/\"},\"author\":{\"name\":\"Iago Fern\u00e1ndez Gonz\u00e1lez\",\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/#\\\/schema\\\/person\\\/f68805581f9d2c0f2b54dd558d8c1270\"},\"headline\":\"MLSIP | Simulaci\u00f3n masiva de tr\u00e1fico SIP\",\"datePublished\":\"2024-05-18T14:20:00+00:00\",\"dateModified\":\"2025-09-29T14:28:13+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/\"},\"wordCount\":241,\"publisher\":{\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.quobis.com\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/MLSIP-banner.jpg\",\"keywords\":[\"5g\",\"call routing\",\"ia\",\"Machine learning\",\"MLSIP\",\"sip\"],\"articleSection\":[\"I+D\"],\"inLanguage\":\"es\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/\",\"url\":\"https:\\\/\\\/www.quobis.com\\\/es\\\/2024\\\/05\\\/18\\\/mlsip-simulacion-masiva-de-trafico-sip\\\/\",\"name\":\"MLSIP | Simulaci\u00f3n masiva de tr\u00e1fico SIP - 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