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{"id":19887,"date":"2024-11-25T11:42:13","date_gmt":"2024-11-25T03:42:13","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-sc\/compute-power-scheduling-how-to-optimize-for-us-server\/"},"modified":"2024-11-25T14:52:19","modified_gmt":"2024-11-25T06:52:19","slug":"compute-power-scheduling-how-to-optimize-for-us-server","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/sc\/america-dedicated-server-sc\/compute-power-scheduling-how-to-optimize-for-us-server\/","title":{"rendered":"\u7b97\u529b\u8c03\u5ea6\uff1a\u5982\u4f55\u4f18\u5316\u7f8e\u56fd\u670d\u52a1\u5668\uff1f"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<p>\u7b97\u529b\u8c03\u5ea6\u6b63\u5728\u9769\u65b0\u73b0\u4ee3<a href=\"https:\/\/www.simcentric.com\/sc\/products\/dedicated-server-us\/\" target=\"_blank\" rel=\"noopener\">\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528<\/a>\u63d0\u4f9b\u5546\u7ba1\u7406\u670d\u52a1\u5668\u8d44\u6e90\u7684\u65b9\u5f0f\u3002\u672c\u6587\u6df1\u5165\u63a2\u8ba8\u652f\u6491<a href=\"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/how-do-x14-servers-accelerate-ai-and-hpc\/\" target=\"_blank\" rel=\"noopener\">\u9ad8\u6027\u80fd\u8ba1\u7b97<\/a>\u73af\u5883\u7684\u5148\u8fdb\u8c03\u5ea6\u673a\u5236\u548c\u4f18\u5316\u6280\u672f\u3002\u65e0\u8bba\u60a8\u662f\u7ba1\u7406\u5c0f\u578b\u96c6\u7fa4\u8fd8\u662f\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5fc3\uff0c\u7406\u89e3\u7b97\u529b\u8c03\u5ea6\u5bf9\u4e8e\u6700\u5927\u5316\u670d\u52a1\u5668\u6548\u7387\u90fd\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u7406\u89e3\u7b97\u529b\u8c03\u5ea6\u57fa\u7840<\/strong><\/h2>\n<p>\u4ece\u6838\u5fc3\u6765\u8bf4\uff0c\u7b97\u529b\u8c03\u5ea6\u6d89\u53ca\u8de8\u5404\u79cd\u4efb\u52a1\u548c\u5e94\u7528\u7a0b\u5e8f\u6218\u7565\u6027\u5730\u5206\u914d\u5904\u7406\u8d44\u6e90\u3002\u4e0e\u4f20\u7edf\u8d44\u6e90\u7ba1\u7406\u4e0d\u540c\uff0c\u73b0\u4ee3\u8c03\u5ea6\u7b97\u6cd5\u540c\u65f6\u8003\u8651\u591a\u4e2a\u56e0\u7d20\uff1a<\/p>\n<ul>\n<li>CPU\u4f7f\u7528\u7387\u6a21\u5f0f<\/li>\n<li>\u5185\u5b58\u5206\u914d\u9700\u6c42<\/li>\n<li>I\/O\u9700\u6c42<\/li>\n<li>\u7f51\u7edc\u5e26\u5bbd\u5206\u914d<\/li>\n<li>\u529f\u8017\u6307\u6807<\/li>\n<\/ul>\n<div class=\"note\">\n<p>\u91cd\u8981\u89c1\u89e3\uff1a\u5728\u5927\u89c4\u6a21\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\uff0c\u73b0\u4ee3\u8c03\u5ea6\u7cfb\u7edf\u6bcf\u79d2\u5904\u7406\u8d85\u8fc7100,000\u4e2a\u8c03\u5ea6\u51b3\u7b56\u3002<\/p>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u7b97\u529b\u8c03\u5ea6\u673a\u5236\u7c7b\u578b<\/strong><\/h2>\n<p>\u4e0d\u540c\u7684\u8c03\u5ea6\u673a\u5236\u670d\u52a1\u4e8e\u5404\u79cd\u8fd0\u8425\u9700\u6c42\uff1a<\/p>\n<h3>1. \u9759\u6001\u8c03\u5ea6<\/h3>\n<p>\u5728\u7f16\u8bd1\u65f6\u5b9e\u65bd\uff0c\u9759\u6001\u8c03\u5ea6\u9075\u5faa\u9884\u5b9a\u4e49\u7684\u8d44\u6e90\u5206\u914d\u6a21\u5f0f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Linux cgroups\u7684\u57fa\u672c\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\n# Create a CPU-limited group for background tasks\r\nsudo cgcreate -g cpu:\/background_tasks\r\n# Set CPU quota to 20%\r\nsudo cgset -r cpu.cfs_quota_us=20000 background_tasks\r\nsudo cgset -r cpu.cfs_period_us=100000 background_tasks\r\n<\/code><\/pre>\n<h3>2. \u52a8\u6001\u8c03\u5ea6<\/h3>\n<p>\u57fa\u4e8e\u5b9e\u65f6\u7cfb\u7edf\u6307\u6807\u8c03\u6574\u8d44\u6e90\u5206\u914d\u3002\u4ee5\u4e0b\u662f\u7528Python\u5b9e\u73b0\u57fa\u672c\u52a8\u6001\u8c03\u5ea6\u5668\u7684\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\nimport psutil\r\nimport time\r\n\r\nclass DynamicScheduler:\r\n    def __init__(self, threshold=80):\r\n        self.threshold = threshold\r\n        \r\n    def check_cpu_load(self):\r\n        cpu_percent = psutil.cpu_percent(interval=1)\r\n        if cpu_percent > self.threshold:\r\n            self.redistribute_resources()\r\n            \r\n    def redistribute_resources(self):\r\n        processes = psutil.process_iter(['pid', 'name', 'cpu_percent'])\r\n        for proc in sorted(processes, key=lambda p: p.info['cpu_percent'], reverse=True):\r\n            if proc.info['cpu_percent'] > 20:\r\n                # Implement resource reallocation logic\r\n                pass\r\n<\/code><\/pre>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u7f8e\u56fd\u670d\u52a1\u5668\u73af\u5883\u4e2d\u7684\u5b9e\u9645\u5e94\u7528<\/strong><\/h2>\n<p>\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u63d0\u4f9b\u5546\u901a\u5e38\u5b9e\u65bd\u591a\u5c42\u7ea7\u8c03\u5ea6\u6846\u67b6\uff0c\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u7279\u5f81\u7ed3\u5408\u4e0d\u540c\u65b9\u6cd5\u3002\u6700\u6709\u6548\u7684\u5b9e\u65bd\u9075\u5faa\u4ee5\u4e0b\u6838\u5fc3\u539f\u5219\uff1a<\/p>\n<ul>\n<li>\u9884\u6d4b\u6027\u8d44\u6e90\u5206\u914d<\/li>\n<li>\u5de5\u4f5c\u8d1f\u8f7d\u611f\u77e5\u8c03\u5ea6<\/li>\n<li>\u8282\u80fd\u5206\u914d<\/li>\n<li>\u5bb9\u9519\u8fd0\u884c<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u6027\u80fd\u6700\u5927\u5316\u7684\u4f18\u5316\u7b56\u7565<\/strong><\/h2>\n<p>\u5b9e\u65bd\u6709\u6548\u7684\u7b97\u529b\u8c03\u5ea6\u9700\u8981\u7cfb\u7edf\u5316\u7684\u4f18\u5316\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u9886\u5148\u7684\u7f8e\u56fd\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u91c7\u7528\u7684\u6210\u719f\u7b56\u7565\uff0c\u4ee5\u5b9e\u73b0\u670d\u52a1\u5668\u6027\u80fd\u6700\u5927\u5316\u3002<\/p>\n<h3>1. \u8d1f\u8f7d\u5747\u8861\u589e\u5f3a<\/h3>\n<p>\u73b0\u4ee3\u8d1f\u8f7d\u5747\u8861\u5df2\u8d85\u8d8a\u7b80\u5355\u7684\u8f6e\u8be2\u5206\u914d\u3002\u4ee5\u4e0b\u662f\u7528\u4e8e\u667a\u80fd\u8d1f\u8f7d\u5747\u8861\u7684\u9ad8\u7ea7Nginx\u914d\u7f6e\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\nhttp {\r\n    upstream backend_servers {\r\n        least_conn;  # Distribute load based on active connections\r\n        server backend1.example.com weight=3;\r\n        server backend2.example.com weight=2;\r\n        server backend3.example.com backup;\r\n        \r\n        keepalive 32;  # Keep connections alive\r\n    }\r\n    \r\n    server {\r\n        location \/ {\r\n            proxy_pass http:\/\/backend_servers;\r\n            proxy_next_upstream error timeout invalid_header http_500;\r\n            proxy_connect_timeout 2;\r\n        }\r\n    }\r\n}\r\n<\/code><\/pre>\n<h3>2. \u8d44\u6e90\u5206\u914d\u4f18\u5316<\/h3>\n<p>\u4f7f\u7528Kubernetes\u5b9e\u65bd\u52a8\u6001\u8d44\u6e90\u8fb9\u754c\u53ef\u663e\u8457\u63d0\u9ad8\u8d44\u6e90\u5229\u7528\u7387\u3002\u4ee5\u4e0b\u662f\u5b9e\u7528\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\napiVersion: v1\r\nkind: ResourceQuota\r\nmetadata:\r\n  name: compute-resources\r\nspec:\r\n  hard:\r\n    requests.cpu: \"20\"\r\n    requests.memory: 100Gi\r\n    limits.cpu: \"40\"\r\n    limits.memory: 200Gi\r\n---\r\napiVersion: v1\r\nkind: LimitRange\r\nmetadata:\r\n  name: cpu-limit-range\r\nspec:\r\n  limits:\r\n  - default:\r\n      cpu: 1\r\n      memory: 512Mi\r\n    defaultRequest:\r\n      cpu: 0.5\r\n      memory: 256Mi\r\n    type: Container\r\n<\/code><\/pre>\n<div class=\"note\">\n<p>\u6027\u80fd\u63d0\u793a\uff1a\u5b9e\u65bd\u81ea\u52a8\u6269\u5c55\u7b56\u7565\u53ef\u5728\u4fdd\u6301\u6700\u4f73\u6027\u80fd\u7684\u540c\u65f6\u5c06\u8d44\u6e90\u6210\u672c\u964d\u4f4e45%\u3002<\/p>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u9ad8\u7ea7\u76d1\u63a7\u548c\u6545\u969c\u6392\u9664<\/strong><\/h2>\n<p>\u6709\u6548\u7684\u7b97\u529b\u8c03\u5ea6\u9700\u8981\u5f3a\u5927\u7684\u76d1\u63a7\u7cfb\u7edf\u3002\u4ee5\u4e0b\u662f\u7528\u4e8e\u5168\u9762\u6307\u6807\u6536\u96c6\u7684Prometheus\u914d\u7f6e\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\nglobal:\r\n  scrape_interval: 15s\r\n  evaluation_interval: 15s\r\n\r\nrule_files:\r\n  - \"cpu_usage_rules.yml\"\r\n  - \"memory_alerts.yml\"\r\n\r\nscrape_configs:\r\n  - job_name: 'node_exporter'\r\n    static_configs:\r\n      - targets: ['localhost:9100']\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        regex: '(.*):.*'\r\n        target_label: instance\r\n        replacement: '${1}'\r\n<\/code><\/pre>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u8282\u80fd\u8c03\u5ea6\u6a21\u5f0f<\/strong><\/h2>\n<p>\u73b0\u4ee3\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u63d0\u4f9b\u5546\u8d8a\u6765\u8d8a\u5173\u6ce8\u8282\u80fd\u8c03\u5ea6\u6a21\u5f0f\u3002\u8fd9\u4e9b\u6a21\u5f0f\u7684\u5b9e\u65bd\u5df2\u8bc1\u660e\u53ef\u5728\u4fdd\u6301\u6027\u80fd\u6807\u51c6\u7684\u540c\u65f6\u5c06\u529f\u8017\u964d\u4f4e30%\u3002<\/p>\n<ul>\n<li>\u52a8\u6001\u7535\u538b\u548c\u9891\u7387\u8c03\u8282(DVFS)<\/li>\n<li>\u5de5\u4f5c\u8d1f\u8f7d\u6574\u5408<\/li>\n<li>\u70ed\u611f\u77e5\u8c03\u5ea6<\/li>\n<li>\u4f11\u7720\u72b6\u6001\u4f18\u5316<\/li>\n<\/ul>\n<p>\u4ee5\u4e0b\u662f\u7528\u4e8e\u76d1\u63a7\u548c\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u8c03\u6574CPU\u9891\u7387\u7684Python\u811a\u672c\uff1a<\/p>\n<pre><code>\r\nimport psutil\r\nimport subprocess\r\n\r\ndef adjust_cpu_frequency(workload_intensity):\r\n    # Scale frequency based on workload\r\n    if workload_intensity < 30:\r\n        subprocess.run(['cpupower', 'frequency-set', '-g', 'powersave'])\r\n    elif workload_intensity > 70:\r\n        subprocess.run(['cpupower', 'frequency-set', '-g', 'performance'])\r\n    else:\r\n        subprocess.run(['cpupower', 'frequency-set', '-g', 'ondemand'])\r\n\r\ndef monitor_workload():\r\n    while True:\r\n        cpu_percent = psutil.cpu_percent(interval=5)\r\n        adjust_cpu_frequency(cpu_percent)\r\n<\/code><\/pre>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u7b97\u529b\u8c03\u5ea6\u7684\u672a\u6765\u8d8b\u52bf<\/strong><\/h2>\n<p>\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\u7684\u7b97\u529b\u8c03\u5ea6\u683c\u5c40\u6b63\u5728\u5feb\u901f\u53d1\u5c55\u3002\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u8d8a\u6765\u8d8a\u591a\u5730\u88ab\u90e8\u7f72\u7528\u4e8e\u9884\u6d4b\u548c\u4f18\u5316\u8d44\u6e90\u5206\u914d\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Python\u7684\u57fa\u672c\u673a\u5668\u5b66\u4e60\u8c03\u5ea6\u5668\u793a\u4f8b\uff1a<\/p>\n<pre><code>\r\nimport numpy as np\r\nfrom sklearn.ensemble import RandomForestRegressor\r\n\r\nclass MLScheduler:\r\n    def __init__(self):\r\n        self.model = RandomForestRegressor(n_estimators=100)\r\n        self.history = []\r\n\r\n    def train(self, workload_data, performance_metrics):\r\n        self.model.fit(workload_data, performance_metrics)\r\n\r\n    def predict_resources(self, current_workload):\r\n        return self.model.predict(current_workload.reshape(1, -1))[0]\r\n\r\n    def update_allocation(self, prediction):\r\n        resource_mapping = {\r\n            'cpu_cores': int(np.ceil(prediction[0])),\r\n            'memory_gb': int(np.ceil(prediction[1])),\r\n            'io_priority': int(prediction[2])\r\n        }\r\n        return resource_mapping\r\n<\/code><\/pre>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u5b9e\u65bd\u6700\u4f73\u5b9e\u8df5<\/strong><\/h2>\n<p>\u5728\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\u5b9e\u65bd\u7b97\u529b\u8c03\u5ea6\u65f6\uff0c\u8bf7\u8003\u8651\u4ee5\u4e0b\u5173\u952e\u56e0\u7d20\uff1a<\/p>\n<ul>\n<li>\u5b9a\u671f\u57fa\u51c6\u6d4b\u8bd5<\/li>\n<li>\u6301\u7eed\u76d1\u63a7\u548c\u8c03\u6574<\/li>\n<li>\u6545\u969c\u8f6c\u79fb\u89c4\u5212<\/li>\n<li>\u8d44\u6e90\u4f7f\u7528\u5ba1\u8ba1<\/li>\n<\/ul>\n<div class=\"note\">\n<p>\u5173\u952e\u89c1\u89e3\uff1a\u5b9e\u65bd\u8fd9\u4e9b\u6700\u4f73\u5b9e\u8df5\u7684\u7ec4\u7ec7\u62a5\u544a\u8d44\u6e90\u5229\u7528\u7387\u63d0\u9ad840%\uff0c\u8fd0\u8425\u6210\u672c\u964d\u4f4e25%\u3002<\/p>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u5e38\u89c1\u95ee\u9898\u6545\u969c\u6392\u9664<\/strong><\/h2>\n<p>\u4f7f\u7528\u4ee5\u4e0b\u8bca\u65ad\u547d\u4ee4\u89e3\u51b3\u5e38\u89c1\u8c03\u5ea6\u6311\u6218\uff1a<\/p>\n<pre><code>\r\n# Check system load averages\r\nuptime\r\n\r\n# Monitor real-time CPU statistics\r\nmpstat 1\r\n\r\n# Track IO operations\r\niostat -xz 1\r\n\r\n# Examine memory usage\r\nvmstat 1\r\n\r\n# Monitor network traffic\r\nsar -n DEV 1\r\n<\/code><\/pre>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text]<\/p>\n<h2><strong>\u7ed3\u8bba\u548c\u5efa\u8bae<\/strong><\/h2>\n<p>\u6709\u6548\u7684\u7b97\u529b\u8c03\u5ea6\u5bf9\u4f18\u5316\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u6027\u80fd\u4ecd\u7136\u81f3\u5173\u91cd\u8981\u3002\u968f\u7740\u6280\u672f\u7684\u53d1\u5c55\uff0c\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u8c03\u5ea6\u673a\u5236\u4e0e\u4f20\u7edf\u65b9\u6cd5\u7684\u6574\u5408\u5c06\u53d8\u5f97\u8d8a\u6765\u8d8a\u91cd\u8981\u3002\u7ec4\u7ec7\u5fc5\u987b\u8ddf\u4e0a\u8fd9\u4e9b\u53d1\u5c55\uff0c\u4ee5\u4fdd\u6301\u670d\u52a1\u5668\u6027\u80fd\u548c\u8d44\u6e90\u5229\u7528\u7387\u65b9\u9762\u7684\u7ade\u4e89\u4f18\u52bf\u3002<\/p>\n<p>\u4e3a\u83b7\u5f97\u6700\u4f73\u7ed3\u679c\uff0c\u5efa\u8bae\u5b9e\u65bd\u7ed3\u5408\u9759\u6001\u548c\u52a8\u6001\u8c03\u5ea6\u65b9\u6cd5\u7684\u6df7\u5408\u65b9\u6848\uff0c\u5b9a\u671f\u66f4\u65b0\u8c03\u5ea6\u7b56\u7565\uff0c\u5e76\u7ef4\u62a4\u5168\u9762\u7684\u76d1\u63a7\u7cfb\u7edf\u3002\u5728\u9009\u62e9\u548c\u914d\u7f6e\u8c03\u5ea6\u673a\u5236\u65f6\uff0c\u8bf7\u8003\u8651\u60a8\u7684\u5177\u4f53\u5de5\u4f5c\u8d1f\u8f7d\u6a21\u5f0f\uff0c\u4ee5\u5728\u60a8\u7684\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\u5b9e\u73b0\u6027\u80fd\u548c\u8d44\u6e90\u6548\u7387\u7684\u6700\u4f73\u5e73\u8861\u3002<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text] \u7b97\u529b\u8c03\u5ea6\u6b63\u5728\u9769\u65b0\u73b0\u4ee3\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u63d0\u4f9b\u5546\u7ba1\u7406\u670d\u52a1\u5668\u8d44\u6e90\u7684\u65b9\u5f0f\u3002\u672c\u6587\u6df1\u5165\u63a2\u8ba8\u652f\u6491\u9ad8\u6027\u80fd\u8ba1\u7b97\u73af\u5883\u7684\u5148\u8fdb\u8c03\u5ea6\u673a\u5236\u548c\u4f18\u5316\u6280\u672f\u3002\u65e0\u8bba\u60a8\u662f\u7ba1\u7406\u5c0f\u578b\u96c6\u7fa4\u8fd8\u662f\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5fc3\uff0c\u7406\u89e3\u7b97\u529b\u8c03\u5ea6\u5bf9\u4e8e\u6700\u5927\u5316\u670d\u52a1\u5668\u6548\u7387\u90fd\u81f3\u5173\u91cd\u8981\u3002 [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text] \u7406\u89e3\u7b97\u529b\u8c03\u5ea6\u57fa\u7840 \u4ece\u6838\u5fc3\u6765\u8bf4\uff0c\u7b97\u529b\u8c03\u5ea6\u6d89\u53ca\u8de8\u5404\u79cd\u4efb\u52a1\u548c\u5e94\u7528\u7a0b\u5e8f\u6218\u7565\u6027\u5730\u5206\u914d\u5904\u7406\u8d44\u6e90\u3002\u4e0e\u4f20\u7edf\u8d44\u6e90\u7ba1\u7406\u4e0d\u540c\uff0c\u73b0\u4ee3\u8c03\u5ea6\u7b97\u6cd5\u540c\u65f6\u8003\u8651\u591a\u4e2a\u56e0\u7d20\uff1a CPU\u4f7f\u7528\u7387\u6a21\u5f0f \u5185\u5b58\u5206\u914d\u9700\u6c42 I\/O\u9700\u6c42 \u7f51\u7edc\u5e26\u5bbd\u5206\u914d \u529f\u8017\u6307\u6807 \u91cd\u8981\u89c1\u89e3\uff1a\u5728\u5927\u89c4\u6a21\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\uff0c\u73b0\u4ee3\u8c03\u5ea6\u7cfb\u7edf\u6bcf\u79d2\u5904\u7406\u8d85\u8fc7100,000\u4e2a\u8c03\u5ea6\u51b3\u7b56\u3002 [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;blog-detail-section&#8221;][vc_column][vc_column_text] \u7b97\u529b\u8c03\u5ea6\u673a\u5236\u7c7b\u578b \u4e0d\u540c\u7684\u8c03\u5ea6\u673a\u5236\u670d\u52a1\u4e8e\u5404\u79cd\u8fd0\u8425\u9700\u6c42\uff1a 1. \u9759\u6001\u8c03\u5ea6 \u5728\u7f16\u8bd1\u65f6\u5b9e\u65bd\uff0c\u9759\u6001\u8c03\u5ea6\u9075\u5faa\u9884\u5b9a\u4e49\u7684\u8d44\u6e90\u5206\u914d\u6a21\u5f0f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Linux cgroups\u7684\u57fa\u672c\u793a\u4f8b\uff1a # Create a CPU-limited group for background tasks sudo cgcreate -g cpu:\/background_tasks # Set CPU quota to 20% sudo cgset -r cpu.cfs_quota_us=20000 background_tasks sudo cgset -r cpu.cfs_period_us=100000 background_tasks 2. \u52a8\u6001\u8c03\u5ea6 \u57fa\u4e8e\u5b9e\u65f6\u7cfb\u7edf\u6307\u6807\u8c03\u6574\u8d44\u6e90\u5206\u914d\u3002\u4ee5\u4e0b\u662f\u7528Python\u5b9e\u73b0\u57fa\u672c\u52a8\u6001\u8c03\u5ea6\u5668\u7684\u793a\u4f8b\uff1a import psutil import [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" 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