{"id":352936,"date":"2024-05-20T22:18:08","date_gmt":"2024-05-20T22:18:08","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=352936"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=352936","title":{"rendered":"<span>\u041f\u0435\u0440\u0444\u043e\u043c\u0430\u043d\u0441 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u043e\u0432 1 \u0438 2 \u0442\u0438\u043f\u0430<\/span>"},"content":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<p>\u042d\u043d\u0434\u0440\u044e \u0422\u0430\u043d\u0435\u043d\u0431\u0430\u0443\u043c, \u0430\u0432\u0442\u043e\u0440 Minix, \u0438\u0441\u0447\u0435\u0440\u043f\u044b\u0432\u0430\u044e\u0449\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u0438\u043b \u0432 \u0441\u0432\u043e\u0438\u0445 \u0440\u0430\u0431\u043e\u0442\u0430\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u043e\u0432 1 \u0438 2 \u0442\u0438\u043f\u0430, \u043e\u0434\u043d\u0430\u043a\u043e \u043e\u0447\u0435\u043d\u044c \u0441\u043b\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0432 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0440\u0430\u0431\u043e\u0442, \u0433\u0434\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043d\u0438 \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f \u043f\u043e \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u044b \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0435\u043c \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e \u0432 \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u043d\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u0440\u0430\u0437\u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430 \u0438 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0432\u044b\u0432\u043e\u0434\u044b.<\/p>\n<p>\u041f\u0440\u0438\u0432\u0435\u0434\u0435\u043c \u0434\u043b\u044f \u0443\u0434\u043e\u0431\u0441\u0442\u0432\u0430 \u0441\u0445\u0435\u043c\u0443:<\/p>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/f1e\/720\/b8b\/f1e720b8bd8c814fd8f5470c48e57106.png\" alt=\"\u0413\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430\" title=\"\u0413\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430\" width=\"1642\" height=\"1120\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/f1e\/720\/b8b\/f1e720b8bd8c814fd8f5470c48e57106.png\"\/><\/p>\n<div><figcaption>\u0413\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430<\/figcaption><\/div>\n<\/figure>\n<p>\u0418\u0437\u00a0\u044d\u0442\u043e\u0439 \u0441\u0445\u0435\u043c\u044b \u043c\u043e\u0436\u0435\u0442 \u0441\u043b\u043e\u0436\u0438\u0442\u044c\u0441\u044f \u043c\u043d\u0435\u043d\u0438\u0435, \u0447\u0442\u043e\u00a0\u0443\u00a0\u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430 1\u00a0\u0442\u0438\u043f\u0430 \u043d\u0435\u0442\u0443 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0432\u043e\u043e\u0431\u0449\u0435, \u0430\u00a0\u0443\u00a0\u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430 2\u00a0\u0442\u0438\u043f\u0430 \u0431\u043e\u043b\u044c\u0448\u0435 \u0443\u0440\u043e\u0432\u043d\u0435\u0439 \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0438 \u0438 \u043e\u043d \u043c\u0435\u0434\u043b\u0435\u043d\u043d\u0435\u0435. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u0434\u043b\u044f\u00a0\u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u043e\u0437\u044c\u043c\u0435\u043c \u0434\u0432\u0430\u00a0\u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430: VmWare (1\u00a0\u0442\u0438\u043f) \u0438 Qemu (2\u00a0\u0442\u0438\u043f) \u0438 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043c \u043d\u0430\u00a0\u043e\u0434\u043d\u043e\u043c \u0438 \u0442\u043e\u043c\u00a0\u0436\u0435\u00a0\u0436\u0435\u043b\u0435\u0437\u0435.<\/p>\n<p><strong>\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0438\u0438:<\/strong><\/p>\n<ul>\n<li>\n<p>Intel(R) Xeon(R) CPU E3 1260L @ 2.40GHz<\/p>\n<\/li>\n<li>\n<p>Samsung 8GiB 2x SODIMM DDR3 Synchronous 1333 MHz (0.8 ns)<\/p>\n<\/li>\n<li>\n<p>SSD Kingston A400 960GB SA400S37960GB<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u041f\u043b\u0430\u043d \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f:<\/strong><\/p>\n<ol>\n<li>\n<p>\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b<\/p>\n<\/li>\n<li>\n<p>\u0420\u0430\u0437\u0432\u0435\u0440\u043d\u0435\u043c \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u043c\u0430\u0448\u0438\u043d\u0443 \u043d\u0430 Ubuntu 22.04 LTS<\/p>\n<\/li>\n<li>\n<p>\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043c <a href=\"https:\/\/github.com\/akopytov\/sysbench\" rel=\"noopener noreferrer nofollow\">sysbench<\/a><\/p>\n<\/li>\n<li>\n<p>\u0417\u0430\u043f\u0443\u0441\u0442\u0438\u043c sysbench \u043d\u0430 2 \u0447\u0430\u0441\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0440\u0430\u0437 \u0447\u0442\u043e\u0431\u044b \u0443\u0447\u0435\u0441\u0442\u044c \u043f\u043e\u0433\u0440\u0435\u0448\u043d\u043e\u0441\u0442\u044c<\/p>\n<\/li>\n<li>\n<p>\u0421\u0440\u0430\u0432\u043d\u0438\u043c \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438 \u0434\u043b\u044f \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u043e\u0432 1 \u0438 2 \u0442\u0438\u043f\u0430<\/p>\n<\/li>\n<\/ol>\n<p>\u0412\u0435\u0440\u0441\u0438\u0438:<\/p>\n<pre><code># uname -a Linux lab 5.15.0-78-generic #85-Ubuntu SMP Fri Jul 7 15:25:09 UTC 2023 x86_64 x86_64 x86_64 GNU\/Linux  # sysbench --version sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)<\/code><\/pre>\n<p>\u041a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c sysbench \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0442\u0435\u0441\u0442\u044b:<\/p>\n<pre><code># apt install sysbench # sysbench cpu run --time=7200 # sysbench mem run --time=7200 # sysbench threads run --time=7200 # sysbench mutex run --mutex-num=1000000<\/code><\/pre>\n<p>\u041d\u0438\u0436\u0435 &#8212; \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0441\u0442\u0438 \u043e \u0442\u043e\u043c \u043a\u0430\u043a \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0432\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u043e\u0432 \u0438 \u043a\u0430\u043a \u0435\u0433\u043e \u043c\u043e\u0436\u043d\u043e \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043d\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0445 \u043c\u0438\u043d\u0443\u0442\u043d\u044b\u0445 \u0442\u0435\u0441\u0442\u043e\u0432.<\/p>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 (cpu) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c events per second:<\/p>\n<pre><code># sysbench cpu run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Prime numbers limit: 10000  Initializing worker threads...  Threads started!  CPU speed:     events per second:   971.72  General statistics:     total time:                          60.0002s     total number of events:              58308  Latency (ms):          min:                                    1.00          avg:                                    1.03          max:                                    5.41          95th percentile:                        1.08          sum:                                59984.24  Threads fairness:     events (avg\/stddev):           58308.0000\/0.00     execution time (avg\/stddev):   59.9842\/0.00<\/code><\/pre>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0447\u0442\u0435\u043d\u0438\u044f\/\u0437\u0430\u043f\u0438\u0441\u0438 \u0432 \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u0443\u044e \u043f\u0430\u043c\u044f\u0442\u044c (memory) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c Total operations per second:<\/p>\n<pre><code># sysbench memory run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Running memory speed test with the following options:   block size: 1KiB   total size: 102400MiB   operation: write   scope: global  Initializing worker threads...  Threads started!  Total operations: 104857600 (4915856.94 per second)  102400.00 MiB transferred (4800.64 MiB\/sec)   General statistics:     total time:                          21.3283s     total number of events:              104857600  Latency (ms):          min:                                    0.00          avg:                                    0.00          max:                                    0.92          95th percentile:                        0.00          sum:                                 9664.85  Threads fairness:     events (avg\/stddev):           104857600.0000\/0.00     execution time (avg\/stddev):   9.6648\/0.00<\/code><\/pre>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u043b\u0430\u043d\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u043f\u043e\u0442\u043e\u043a\u043e\u0432 (threads) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 total number of events \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 total time:<\/p>\n<pre><code># sysbench threads run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Initializing worker threads...  Threads started!   General statistics:     total time:                          60.0006s     total number of events:              52132  Latency (ms):          min:                                    1.12          avg:                                    1.15          max:                                    5.85          95th percentile:                        1.21          sum:                                59984.32  Threads fairness:     events (avg\/stddev):           52132.0000\/0.00     execution time (avg\/stddev):   59.9843\/0.00<\/code><\/pre>\n<p>\u0412 mutex \u0442\u0435\u0441\u0442\u0430\u0445 \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 execution time \u043d\u0430 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435 \u043c\u044c\u044e\u0442\u0435\u043a\u0441\u043e\u0432, \u0447\u0442\u043e\u0431\u044b \u0442\u0435\u0441\u0442 \u0431\u044b\u043b \u043f\u043e\u0434\u043e\u043b\u044c\u0448\u0435 &#8212; \u043c\u043e\u0436\u0435\u043c \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0432\u0430\u0442\u044c \u0438\u0445 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0432 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0435 mutex-num:<\/p>\n<pre><code># sysbench mutex --mutex-num=10000000 run sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  General statistics:     total time:                          4.7313s     total number of events:              1  Latency (ms):          min:                                 4731.14          avg:                                 4731.14          max:                                 4731.14          95th percentile:                     4768.67          sum:                                 4731.14  Threads fairness:     events (avg\/stddev):           1.0000\/0.00     execution time (avg\/stddev):   4.7311\/0.00<\/code><\/pre>\n<p>\u041d\u0430\u043f\u0438\u0448\u0435\u043c \u0441\u043a\u0440\u0438\u043f\u0442 \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u043c \u0435\u0433\u043e \u0432 tmux, \u043e\u0441\u0442\u0430\u0432\u0438\u043c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440 \u0438 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u043c\u0430\u0448\u0438\u043d\u0443 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043d\u0430 \u043f\u0430\u0440\u0443 \u0434\u043d\u0435\u0439, \u043f\u0435\u0440\u0438\u043e\u0434\u0438\u0447\u0435\u0441\u043a\u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u044f, \u043d\u0435 \u0437\u0430\u043a\u043e\u043d\u0447\u0438\u043b\u0438\u0441\u044c \u043b\u0438 \u0442\u0435\u0441\u0442\u044b.<\/p>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0442\u0435\u0441\u0442\u043e\u0432 cpu \u0438 memory:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"3\">\n<p align=\"left\">sysbench cpu run<\/p>\n<\/td>\n<td colspan=\"3\">\n<p align=\"left\">sysbench memory run<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 1<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">968.97<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.61<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.5%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4783.77<\/p>\n<\/td>\n<td>\n<p align=\"left\">4757.06<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.5%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 2<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">973.11<\/p>\n<\/td>\n<td>\n<p align=\"left\">995.48<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.2%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4783.65<\/p>\n<\/td>\n<td>\n<p align=\"left\">4762.45<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.4%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 3<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">971.62<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.66<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.3%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4741.35<\/p>\n<\/td>\n<td>\n<p align=\"left\">4762.03<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.5%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 4<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">970.13<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.68<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.4%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4790.76<\/p>\n<\/td>\n<td>\n<p align=\"left\">4761.68<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.6%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"2\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.35%<\/p>\n<\/td>\n<td colspan=\"2\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.50%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0442\u0435\u0441\u0442\u043e\u0432 threads \u0438 mutex:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"3\" data-colwidth=\"0,100,0\" width=\"0\">\n<p align=\"left\">sysbench threads run<\/p>\n<\/td>\n<td colspan=\"3\" data-colwidth=\"0,100,0\" width=\"0\">\n<p align=\"left\">sysbench mutex run<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 1<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">831.25<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">884.90<\/p>\n<\/td>\n<td>\n<p align=\"left\">+6.1%<\/p>\n<\/td>\n<td>\n<p align=\"left\">24.6M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.5M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.4%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 2<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">826.54<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">948.81<\/p>\n<\/td>\n<td>\n<p align=\"left\">+12.8%<\/p>\n<\/td>\n<td>\n<p align=\"left\">25.4M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">25.2M<\/p>\n<\/td>\n<td>\n<p align=\"left\">+0.7%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 3<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">864.86<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">911.74<\/p>\n<\/td>\n<td>\n<p align=\"left\">+5.1%<\/p>\n<\/td>\n<td>\n<p align=\"left\">24.5M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.7M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.8%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 4<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">862.94<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">925.23<\/p>\n<\/td>\n<td>\n<p align=\"left\">+6.7%<\/p>\n<\/td>\n<td>\n<p align=\"left\">25.1M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.9M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.8%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"2\" data-colwidth=\"0,100\" width=\"0\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">+7.6%<\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"0,100\" width=\"0\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.3%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e, \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440 2 \u0442\u0438\u043f\u0430 Qemu \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 host-passthrough \u043d\u0438\u0447\u0443\u0442\u044c \u043d\u0435 \u0443\u0441\u0442\u0443\u043f\u0438\u043b \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0443 1 \u0442\u0438\u043f\u0430 VMWare. <\/p>\n<p>P.S. \u0414\u0430\u043d\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435\u043c, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0430\u044f \u043f\u043e\u0433\u0440\u0435\u0448\u043d\u043e\u0441\u0442\u044c \u043e\u0442 \u043f\u0435\u0440\u0435\u0433\u0440\u0435\u0432\u0430 CPU (\u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0442\u0435\u0441\u0442\u044b \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u043b\u0438\u0441\u044c &#171;\u043d\u0430 \u0445\u043e\u043b\u043e\u0434\u043d\u0443\u044e&#187; \u0441 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u043e\u0445\u043b\u0430\u0436\u0434\u0435\u043d\u0438\u0435\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0434\u043e \u043d\u043e\u043c\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u0439 \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u0431\u0435\u0436\u0430\u0442\u044c \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u0442\u0440\u043e\u0442\u0442\u043b\u0438\u043d\u0433\u0430, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0435\u043c \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u043f\u043e sensors \u043d\u0430 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0435), \u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u044b\u0435 \u0442\u0435\u0441\u0442\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u043b\u0438 \u043d\u0430 \u0433\u043b\u0430\u0432\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441, \u0438 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u0447\u0442\u043e OpenSource \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 2 \u0442\u0438\u043f\u0430 Qemu \u043d\u0435 \u043e\u0441\u043e\u0431\u043e \u0443\u0441\u0442\u0443\u043f\u0430\u044e\u0442 \u0432 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430\u043c 1 \u0442\u0438\u043f\u0430, \u043f\u0440\u0438 \u044d\u0442\u043e\u043c, \u043c\u044b \u043d\u0435 \u043a\u0430\u0441\u0430\u0435\u043c\u0441\u044f \u0432\u043e\u043f\u0440\u043e\u0441\u043e\u0432 \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0438\u0445 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438, \u0440\u0430\u0437\u0432\u0435\u0440\u0442\u044b\u0432\u0430\u043d\u0438\u044f, \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0442\u043e\u043d\u043a\u043e\u0433\u043e \u0442\u044e\u043d\u0438\u043d\u0433\u0430.<\/p>\n<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/756360\/\"> https:\/\/habr.com\/ru\/articles\/756360\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<p>\u042d\u043d\u0434\u0440\u044e \u0422\u0430\u043d\u0435\u043d\u0431\u0430\u0443\u043c, \u0430\u0432\u0442\u043e\u0440 Minix, \u0438\u0441\u0447\u0435\u0440\u043f\u044b\u0432\u0430\u044e\u0449\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u0438\u043b \u0432 \u0441\u0432\u043e\u0438\u0445 \u0440\u0430\u0431\u043e\u0442\u0430\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u043e\u0432 1 \u0438 2 \u0442\u0438\u043f\u0430, \u043e\u0434\u043d\u0430\u043a\u043e \u043e\u0447\u0435\u043d\u044c \u0441\u043b\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0432 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0440\u0430\u0431\u043e\u0442, \u0433\u0434\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043d\u0438 \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f \u043f\u043e \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u044b \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0435\u043c \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e \u0432 \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u043d\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u0440\u0430\u0437\u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430 \u0438 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0432\u044b\u0432\u043e\u0434\u044b.<\/p>\n<p>\u041f\u0440\u0438\u0432\u0435\u0434\u0435\u043c \u0434\u043b\u044f \u0443\u0434\u043e\u0431\u0441\u0442\u0432\u0430 \u0441\u0445\u0435\u043c\u0443:<\/p>\n<figure class=\"full-width\">\n<div><figcaption>\u0413\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 1 \u0438 2 \u0442\u0438\u043f\u0430<\/figcaption><\/div>\n<\/figure>\n<p>\u0418\u0437\u00a0\u044d\u0442\u043e\u0439 \u0441\u0445\u0435\u043c\u044b \u043c\u043e\u0436\u0435\u0442 \u0441\u043b\u043e\u0436\u0438\u0442\u044c\u0441\u044f \u043c\u043d\u0435\u043d\u0438\u0435, \u0447\u0442\u043e\u00a0\u0443\u00a0\u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430 1\u00a0\u0442\u0438\u043f\u0430 \u043d\u0435\u0442\u0443 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0432\u043e\u043e\u0431\u0449\u0435, \u0430\u00a0\u0443\u00a0\u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430 2\u00a0\u0442\u0438\u043f\u0430 \u0431\u043e\u043b\u044c\u0448\u0435 \u0443\u0440\u043e\u0432\u043d\u0435\u0439 \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0438 \u0438 \u043e\u043d \u043c\u0435\u0434\u043b\u0435\u043d\u043d\u0435\u0435. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u0434\u043b\u044f\u00a0\u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u043e\u0437\u044c\u043c\u0435\u043c \u0434\u0432\u0430\u00a0\u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430: VmWare (1\u00a0\u0442\u0438\u043f) \u0438 Qemu (2\u00a0\u0442\u0438\u043f) \u0438 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043c \u043d\u0430\u00a0\u043e\u0434\u043d\u043e\u043c \u0438 \u0442\u043e\u043c\u00a0\u0436\u0435\u00a0\u0436\u0435\u043b\u0435\u0437\u0435.<\/p>\n<p><strong>\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0438\u0438:<\/strong><\/p>\n<ul>\n<li>\n<p>Intel(R) Xeon(R) CPU E3 1260L @ 2.40GHz<\/p>\n<\/li>\n<li>\n<p>Samsung 8GiB 2x SODIMM DDR3 Synchronous 1333 MHz (0.8 ns)<\/p>\n<\/li>\n<li>\n<p>SSD Kingston A400 960GB SA400S37960GB<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u041f\u043b\u0430\u043d \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f:<\/strong><\/p>\n<ol>\n<li>\n<p>\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b<\/p>\n<\/li>\n<li>\n<p>\u0420\u0430\u0437\u0432\u0435\u0440\u043d\u0435\u043c \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u043c\u0430\u0448\u0438\u043d\u0443 \u043d\u0430 Ubuntu 22.04 LTS<\/p>\n<\/li>\n<li>\n<p>\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043c <a href=\"https:\/\/github.com\/akopytov\/sysbench\" rel=\"noopener noreferrer nofollow\">sysbench<\/a><\/p>\n<\/li>\n<li>\n<p>\u0417\u0430\u043f\u0443\u0441\u0442\u0438\u043c sysbench \u043d\u0430 2 \u0447\u0430\u0441\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0440\u0430\u0437 \u0447\u0442\u043e\u0431\u044b \u0443\u0447\u0435\u0441\u0442\u044c \u043f\u043e\u0433\u0440\u0435\u0448\u043d\u043e\u0441\u0442\u044c<\/p>\n<\/li>\n<li>\n<p>\u0421\u0440\u0430\u0432\u043d\u0438\u043c \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438 \u0434\u043b\u044f \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u043e\u0432 1 \u0438 2 \u0442\u0438\u043f\u0430<\/p>\n<\/li>\n<\/ol>\n<p>\u0412\u0435\u0440\u0441\u0438\u0438:<\/p>\n<pre><code># uname -a Linux lab 5.15.0-78-generic #85-Ubuntu SMP Fri Jul 7 15:25:09 UTC 2023 x86_64 x86_64 x86_64 GNU\/Linux  # sysbench --version sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)<\/code><\/pre>\n<p>\u041a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c sysbench \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0442\u0435\u0441\u0442\u044b:<\/p>\n<pre><code># apt install sysbench # sysbench cpu run --time=7200 # sysbench mem run --time=7200 # sysbench threads run --time=7200 # sysbench mutex run --mutex-num=1000000<\/code><\/pre>\n<p>\u041d\u0438\u0436\u0435 &#8212; \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0441\u0442\u0438 \u043e \u0442\u043e\u043c \u043a\u0430\u043a \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0432\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u043e\u0432 \u0438 \u043a\u0430\u043a \u0435\u0433\u043e \u043c\u043e\u0436\u043d\u043e \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043d\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0445 \u043c\u0438\u043d\u0443\u0442\u043d\u044b\u0445 \u0442\u0435\u0441\u0442\u043e\u0432.<\/p>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 (cpu) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c events per second:<\/p>\n<pre><code># sysbench cpu run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Prime numbers limit: 10000  Initializing worker threads...  Threads started!  CPU speed:     events per second:   971.72  General statistics:     total time:                          60.0002s     total number of events:              58308  Latency (ms):          min:                                    1.00          avg:                                    1.03          max:                                    5.41          95th percentile:                        1.08          sum:                                59984.24  Threads fairness:     events (avg\/stddev):           58308.0000\/0.00     execution time (avg\/stddev):   59.9842\/0.00<\/code><\/pre>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0447\u0442\u0435\u043d\u0438\u044f\/\u0437\u0430\u043f\u0438\u0441\u0438 \u0432 \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u0443\u044e \u043f\u0430\u043c\u044f\u0442\u044c (memory) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c Total operations per second:<\/p>\n<pre><code># sysbench memory run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Running memory speed test with the following options:   block size: 1KiB   total size: 102400MiB   operation: write   scope: global  Initializing worker threads...  Threads started!  Total operations: 104857600 (4915856.94 per second)  102400.00 MiB transferred (4800.64 MiB\/sec)   General statistics:     total time:                          21.3283s     total number of events:              104857600  Latency (ms):          min:                                    0.00          avg:                                    0.00          max:                                    0.92          95th percentile:                        0.00          sum:                                 9664.85  Threads fairness:     events (avg\/stddev):           104857600.0000\/0.00     execution time (avg\/stddev):   9.6648\/0.00<\/code><\/pre>\n<p>\u0412 \u0442\u0435\u0441\u0442\u0435 \u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u043b\u0430\u043d\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u043f\u043e\u0442\u043e\u043a\u043e\u0432 (threads) \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 total number of events \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 total time:<\/p>\n<pre><code># sysbench threads run --time=60 sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  Running the test with following options: Number of threads: 1 Initializing random number generator from current time   Initializing worker threads...  Threads started!   General statistics:     total time:                          60.0006s     total number of events:              52132  Latency (ms):          min:                                    1.12          avg:                                    1.15          max:                                    5.85          95th percentile:                        1.21          sum:                                59984.32  Threads fairness:     events (avg\/stddev):           52132.0000\/0.00     execution time (avg\/stddev):   59.9843\/0.00<\/code><\/pre>\n<p>\u0412 mutex \u0442\u0435\u0441\u0442\u0430\u0445 \u043d\u0430\u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u0435\u0442 execution time \u043d\u0430 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435 \u043c\u044c\u044e\u0442\u0435\u043a\u0441\u043e\u0432, \u0447\u0442\u043e\u0431\u044b \u0442\u0435\u0441\u0442 \u0431\u044b\u043b \u043f\u043e\u0434\u043e\u043b\u044c\u0448\u0435 &#8212; \u043c\u043e\u0436\u0435\u043c \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0432\u0430\u0442\u044c \u0438\u0445 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0432 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0435 mutex-num:<\/p>\n<pre><code># sysbench mutex --mutex-num=10000000 run sysbench 1.0.20 (using system LuaJIT 2.1.0-beta3)  General statistics:     total time:                          4.7313s     total number of events:              1  Latency (ms):          min:                                 4731.14          avg:                                 4731.14          max:                                 4731.14          95th percentile:                     4768.67          sum:                                 4731.14  Threads fairness:     events (avg\/stddev):           1.0000\/0.00     execution time (avg\/stddev):   4.7311\/0.00<\/code><\/pre>\n<p>\u041d\u0430\u043f\u0438\u0448\u0435\u043c \u0441\u043a\u0440\u0438\u043f\u0442 \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u043c \u0435\u0433\u043e \u0432 tmux, \u043e\u0441\u0442\u0430\u0432\u0438\u043c \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440 \u0438 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u043c\u0430\u0448\u0438\u043d\u0443 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043d\u0430 \u043f\u0430\u0440\u0443 \u0434\u043d\u0435\u0439, \u043f\u0435\u0440\u0438\u043e\u0434\u0438\u0447\u0435\u0441\u043a\u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u044f, \u043d\u0435 \u0437\u0430\u043a\u043e\u043d\u0447\u0438\u043b\u0438\u0441\u044c \u043b\u0438 \u0442\u0435\u0441\u0442\u044b.<\/p>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0442\u0435\u0441\u0442\u043e\u0432 cpu \u0438 memory:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"3\">\n<p align=\"left\">sysbench cpu run<\/p>\n<\/td>\n<td colspan=\"3\">\n<p align=\"left\">sysbench memory run<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 1<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">968.97<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.61<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.5%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4783.77<\/p>\n<\/td>\n<td>\n<p align=\"left\">4757.06<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.5%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 2<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">973.11<\/p>\n<\/td>\n<td>\n<p align=\"left\">995.48<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.2%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4783.65<\/p>\n<\/td>\n<td>\n<p align=\"left\">4762.45<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.4%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 3<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">971.62<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.66<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.3%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4741.35<\/p>\n<\/td>\n<td>\n<p align=\"left\">4762.03<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.5%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 4<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">970.13<\/p>\n<\/td>\n<td>\n<p align=\"left\">994.68<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.4%<\/p>\n<\/td>\n<td>\n<p align=\"left\">4790.76<\/p>\n<\/td>\n<td>\n<p align=\"left\">4761.68<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.6%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"2\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">+2.35%<\/p>\n<\/td>\n<td colspan=\"2\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.50%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0442\u0435\u0441\u0442\u043e\u0432 threads \u0438 mutex:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"3\" data-colwidth=\"0,100,0\" width=\"0\">\n<p align=\"left\">sysbench threads run<\/p>\n<\/td>\n<td colspan=\"3\" data-colwidth=\"0,100,0\" width=\"0\">\n<p align=\"left\">sysbench mutex run<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>vmware<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><strong>qemu<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 1<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">831.25<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">884.90<\/p>\n<\/td>\n<td>\n<p align=\"left\">+6.1%<\/p>\n<\/td>\n<td>\n<p align=\"left\">24.6M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.5M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.4%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 2<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">826.54<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">948.81<\/p>\n<\/td>\n<td>\n<p align=\"left\">+12.8%<\/p>\n<\/td>\n<td>\n<p align=\"left\">25.4M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">25.2M<\/p>\n<\/td>\n<td>\n<p align=\"left\">+0.7%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 3<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">864.86<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">911.74<\/p>\n<\/td>\n<td>\n<p align=\"left\">+5.1%<\/p>\n<\/td>\n<td>\n<p align=\"left\">24.5M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.7M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.8%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\"><em>\u0442\u0435\u0441\u0442 4<\/em><\/p>\n<\/td>\n<td>\n<p align=\"left\">862.94<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">925.23<\/p>\n<\/td>\n<td>\n<p align=\"left\">+6.7%<\/p>\n<\/td>\n<td>\n<p align=\"left\">25.1M<\/p>\n<\/td>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">24.9M<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.8%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"100\" width=\"100\">\n<p align=\"left\">\n<\/td>\n<td colspan=\"2\" data-colwidth=\"0,100\" width=\"0\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">+7.6%<\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"0,100\" width=\"0\">\n<p align=\"left\">\u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/p>\n<\/td>\n<td>\n<p align=\"left\">-0.3%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e, \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440 2 \u0442\u0438\u043f\u0430 Qemu \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 host-passthrough \u043d\u0438\u0447\u0443\u0442\u044c \u043d\u0435 \u0443\u0441\u0442\u0443\u043f\u0438\u043b \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0443 1 \u0442\u0438\u043f\u0430 VMWare. <\/p>\n<p>P.S. \u0414\u0430\u043d\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435\u043c, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0430\u044f \u043f\u043e\u0433\u0440\u0435\u0448\u043d\u043e\u0441\u0442\u044c \u043e\u0442 \u043f\u0435\u0440\u0435\u0433\u0440\u0435\u0432\u0430 CPU (\u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0442\u0435\u0441\u0442\u044b \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u043b\u0438\u0441\u044c &#171;\u043d\u0430 \u0445\u043e\u043b\u043e\u0434\u043d\u0443\u044e&#187; \u0441 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u043e\u0445\u043b\u0430\u0436\u0434\u0435\u043d\u0438\u0435\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0434\u043e \u043d\u043e\u043c\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u0439 \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u0431\u0435\u0436\u0430\u0442\u044c \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u0442\u0440\u043e\u0442\u0442\u043b\u0438\u043d\u0433\u0430, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0435\u043c \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u043f\u043e sensors \u043d\u0430 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0435), \u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u044b\u0435 \u0442\u0435\u0441\u0442\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u043b\u0438 \u043d\u0430 \u0433\u043b\u0430\u0432\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441, \u0438 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u0447\u0442\u043e OpenSource \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u044b 2 \u0442\u0438\u043f\u0430 Qemu \u043d\u0435 \u043e\u0441\u043e\u0431\u043e \u0443\u0441\u0442\u0443\u043f\u0430\u044e\u0442 \u0432 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0433\u0438\u043f\u0435\u0440\u0432\u0438\u0437\u043e\u0440\u0430\u043c 1 \u0442\u0438\u043f\u0430, \u043f\u0440\u0438 \u044d\u0442\u043e\u043c, \u043c\u044b \u043d\u0435 \u043a\u0430\u0441\u0430\u0435\u043c\u0441\u044f \u0432\u043e\u043f\u0440\u043e\u0441\u043e\u0432 \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0438\u0445 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438, \u0440\u0430\u0437\u0432\u0435\u0440\u0442\u044b\u0432\u0430\u043d\u0438\u044f, \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0442\u043e\u043d\u043a\u043e\u0433\u043e \u0442\u044e\u043d\u0438\u043d\u0433\u0430.<\/p>\n<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/756360\/\"> https:\/\/habr.com\/ru\/articles\/756360\/<\/a><br \/><\/br><\/br><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-352936","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/352936","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=352936"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/352936\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=352936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=352936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=352936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}