{"id":100438,"date":"2021-06-04T16:22:49","date_gmt":"2021-06-04T14:22:49","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-cache-bench-0-1-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov-pri-nehvatke-pamyati"},"modified":"2021-06-04T16:22:49","modified_gmt":"2021-06-04T14:22:49","slug":"vypusk-cache-bench-0-1-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov-pri-nehvatke-pamyati","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/vypusk-cache-bench-0-1-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov-pri-nehvatke-pamyati","title":{"rendered":"Lanzamiento de cache-bench 0.1.0 para investigar la eficacia del almacenamiento en cach\u00e9 de archivos en caso de falta de memoria.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>cache-bench \u2014 es un script de Python que permite evaluar el impacto de la configuraci\u00f3n de la memoria virtual (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework, entre otros) en el rendimiento de las tareas cuya ejecuci\u00f3n depende de la cach\u00e9 de las operaciones de lectura de archivos en condiciones de falta de memoria. El c\u00f3digo est\u00e1 abierto bajo la licencia CC0.    <\/p>\n<p>La forma principal de uso \u2014 leer archivos de un directorio especificado de manera aleatoria y a\u00f1adirlos a una lista, hasta que se haya le\u00eddo un n\u00famero determinado de mebibytes. Hay dos modos de operaci\u00f3n disponibles:    <\/p>\n<ul>\n<li class=\"l\"> El primer modo \u2014 auxiliar \u2014 se utiliza para crear un directorio de un tama\u00f1o especificado. En este directorio, se crean un n\u00famero determinado de archivos de mebibytes con nombres aleatorios.\n<li class=\"l\"> El segundo modo \u2014 principal \u2014 es el modo de lectura de archivos del directorio especificado de manera aleatoria. Durante la lectura, aumenta el volumen de memoria consumida por el script, y la velocidad de lectura del volumen especificado de archivos depende del volumen de las p\u00e1ginas de archivos en cach\u00e9.  <\/ul>\n<p>Parte del proyecto es tambi\u00e9n el script auxiliar drop-cache, que se recomienda ejecutar antes de comenzar la prueba. Durante la ejecuci\u00f3n del script en modo de lectura, se muestra el tiempo total de ejecuci\u00f3n, la velocidad media de lectura y el nombre del \u00faltimo archivo le\u00eddo. El script tambi\u00e9n permite registrar los resultados en un archivo con marcas de tiempo.<br \/>\n<br \/>Fuente: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=55273\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>cache-bench &#8212; \u044d\u0442\u043e Python \u0441\u043a\u0440\u0438\u043f\u0442, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0432\u043b\u0438\u044f\u043d\u0438\u0435 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework \u0438 \u043f\u0440\u043e\u0447\u0438\u0445) \u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447, \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u043e\u0432\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0447\u0442\u0435\u043d\u0438\u044f \u0432 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u043d\u0435\u0445\u0432\u0430\u0442\u043a\u0438 \u043f\u0430\u043c\u044f\u0442\u0438. \u041a\u043e\u0434 \u043e\u0442\u043a\u0440\u044b\u0442 \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 CC0. \u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f &#8212; \u0441\u0447\u0438\u0442\u044b\u0432\u0430\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u043e\u0432 \u0438\u0437 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0439 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0432 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u043e\u043c \u043f\u043e\u0440\u044f\u0434\u043a\u0435 \u0438 \u0438\u0445 \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-100438","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - 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