{"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\/en\/blog\/news\/vypusk-cache-bench-0-1-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov-pri-nehvatke-pamyati","title":{"rendered":"Release of cache-bench 0.1.0 for researching the effectiveness of file caching under memory shortages","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>cache-bench \u2014 is a Python script that allows you to evaluate the impact of virtual memory settings (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework, and others) on the performance of tasks whose execution depends on caching file read operations in low memory conditions. The code is open under the CC0 license.    <\/p>\n<p>The primary method of use \u2014 reading files from the specified directory in random order and adding them to a list until a specified number of mebibytes has been read. Two operating modes are available:    <\/p>\n<ul>\n<li class=\"l\"> The first \u2014 auxiliary \u2014 is used to create a directory of a specified size. In this case, a certain number of mebibyte files with random names are created in the directory.\n<li class=\"l\"> The second mode \u2014 main \u2014 is the mode for reading files from the specified directory in random order. During reading, the memory consumed by the script increases, and the speed of reading the specified volume of files depends on the volume of cached file pages.  <\/ul>\n<p>An auxiliary script, drop-cache, is also part of the project, which is recommended to run before starting the test. During the reading mode, the script outputs the total runtime, average read speed, and the name of the last read file. The script also allows logging results to a file with timestamps.<br \/>\n<br \/>Source: <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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