{"id":305112,"date":"2025-02-14T07:54:15","date_gmt":"2025-02-14T06:54:15","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/tolerancia-a-latencia-en\/"},"modified":"2025-02-14T07:54:15","modified_gmt":"2025-02-14T06:54:15","slug":"tolerancia-a-latencia-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/tolerancia-a-latencia-en\/","title":{"rendered":"Tolerancia a Latencia"},"content":{"rendered":"<p>Description: Latency tolerance refers to a system&#8217;s ability to handle delays in data processing without significantly affecting its performance or functionality. In the context of distributed systems, this feature is crucial as it allows the system to continue operating efficiently even when there are variations in response speed from different components. Latency tolerance implies that the system can manage and compensate for wait times, ensuring that read and write operations are carried out smoothly. This is especially important in environments where availability and speed are essential, such as in cloud computing, e-commerce applications, or social networks. A system&#8217;s ability to tolerate latencies is also related to its architecture, where strategies such as data replication and consensus algorithms are implemented to minimize the impact of delays. In summary, latency tolerance is a fundamental aspect that enables modern systems to maintain a high level of performance and availability, even under adverse network conditions or during high workload situations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Latency tolerance refers to a system&#8217;s ability to handle delays in data processing without significantly affecting its performance or functionality. In the context of distributed systems, this feature is crucial as it allows the system to continue operating efficiently even when there are variations in response speed from different components. Latency tolerance implies that [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-305112","glossary","type-glossary","status-publish","hentry"],"post_title":"Tolerancia a Latencia ","post_content":"Description: Latency tolerance refers to a system's ability to handle delays in data processing without significantly affecting its performance or functionality. In the context of distributed systems, this feature is crucial as it allows the system to continue operating efficiently even when there are variations in response speed from different components. Latency tolerance implies that the system can manage and compensate for wait times, ensuring that read and write operations are carried out smoothly. This is especially important in environments where availability and speed are essential, such as in cloud computing, e-commerce applications, or social networks. A system's ability to tolerate latencies is also related to its architecture, where strategies such as data replication and consensus algorithms are implemented to minimize the impact of delays. In summary, latency tolerance is a fundamental aspect that enables modern systems to maintain a high level of performance and availability, even under adverse network conditions or during high workload situations.","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Tolerancia a Latencia - Glosarix<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/glosarix.com\/en\/glossary\/tolerancia-a-latencia-en\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tolerancia a Latencia - Glosarix\" \/>\n<meta property=\"og:description\" content=\"Description: Latency tolerance refers to a system&#8217;s ability to handle delays in data processing without significantly affecting its performance or functionality. 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