\u4ee5\u4e0b\u662f\u7528\u4e8e\u8de8\u865a\u62df\u5b9e\u4f8b\u8fdb\u884c\u57fa\u672cCPU\u76d1\u63a7\u7684Python\u811a\u672c:<\/p>\n

\r\nimport psutil\r\nimport time\r\n\r\ndef monitor_vm_cpu():\r\n    while True:\r\n        cpu_percent = psutil.cpu_percent(interval=1, percpu=True)\r\n        for i, cpu in enumerate(cpu_percent):\r\n            print(f\"CPU\u6838\u5fc3 {i}: {cpu}%\")\r\n        time.sleep(5)\r\n\r\nif __name__ == \"__main__\":\r\n    monitor_vm_cpu()\r\n<\/code><\/pre>\n
\u9ad8\u7ea7\u8d44\u6e90\u7ba1\u7406\u7b56\u7565<\/strong><\/h2>\n
\u5728\u9ad8\u6027\u80fd\u670d\u52a1\u5668\u6258\u7ba1\u73af\u5883\u4e2d,\u5b9e\u65bd\u52a8\u6001\u8d44\u6e90\u5206\u914d\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002\u73b0\u4ee3\u7f8e\u56fd\u670d\u52a1\u5668\u57fa\u7840\u8bbe\u65bd\u53d7\u76ca\u4e8e\u80fd\u591f\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u5de5\u4f5c\u8d1f\u8f7d\u7684\u81ea\u52a8\u5316\u8d44\u6e90\u7ba1\u7406\u7cfb\u7edf\u3002<\/p>\n
\u8d1f\u8f7d\u5747\u8861\u548c\u9ad8\u53ef\u7528\u6027<\/strong><\/h2>\n
\u4f01\u4e1a\u7ea7\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u9700\u8981\u590d\u6742\u7684\u8d1f\u8f7d\u5747\u8861\u673a\u5236\u3002\u4ee5\u4e0b\u662fCPU\u8d1f\u8f7d\u611f\u77e5\u8c03\u5ea6\u7cfb\u7edf\u7684\u57fa\u672c\u5b9e\u73b0:<\/p>\n
\r\ndef calculate_cpu_load(vm_instance):\r\n    return {\r\n        'instance_id': vm_instance,\r\n        'cpu_usage': get_cpu_metrics(),\r\n        'load_score': calculate_load_score()\r\n    }\r\n\r\nclass LoadBalancer:\r\n    def __init__(self):\r\n        self.instances = []\r\n        self.threshold = 0.75\r\n\r\n    def redistribute_load(self):\r\n        for instance in self.instances:\r\n            if instance.load_score > self.threshold:\r\n                self.migrate_workload(instance)\r\n<\/code><\/pre>\n
CPU\u8d44\u6e90\u9694\u79bb\u4e2d\u7684\u5b89\u5168\u8003\u8651<\/strong><\/h2>\n
\u5b89\u5168\u7684\u79df\u7528\u73af\u5883\u5fc5\u987b\u9632\u6b62\u57fa\u4e8eCPU\u7684\u4fa7\u4fe1\u9053\u653b\u51fb\u548c\u8d44\u6e90\u52ab\u6301\u3002\u5b89\u5168\u63aa\u65bd\u7684\u5b9e\u65bd\u5305\u62ec:<\/p>\n
\n
\u5fae\u7801\u66f4\u65b0\u4ee5\u7f13\u89e3\u6f0f\u6d1e<\/li>\n
\u865a\u62df\u673a\u76d1\u63a7\u7a0b\u5e8f\u7ea7\u522b\u7684\u9694\u79bb\u6267\u884c<\/li>\n
\u5f02\u5e38CPU\u884c\u4e3a\u7684\u5b9e\u65f6\u76d1\u63a7<\/li>\n<\/ul>\n
\u6210\u672c\u4f18\u5316\u7b56\u7565<\/strong><\/h2>\n
\u6258\u7ba1\u8bbe\u65bd\u4e2d\u7684\u9ad8\u6548\u8d44\u6e90\u7ba1\u7406\u76f4\u63a5\u5f71\u54cd\u8fd0\u8425\u6210\u672c\u3002\u8003\u8651\u4ee5\u4e0b\u6210\u672c\u5206\u6790\u6846\u67b6:<\/p>\n
\r\n# \u6210\u672c\u6548\u7387\u8ba1\u7b97\r\nclass ResourceCostCalculator:\r\n    def __init__(self, cpu_cores, usage_hours):\r\n        self.cpu_cores = cpu_cores\r\n        self.usage_hours = usage_hours\r\n        self.base_rate = 0.015  # \u6bcf\u6838\u5fc3\u6bcf\u5c0f\u65f6\u7f8e\u5143\r\n\r\n    def calculate_monthly_cost(self):\r\n        return (self.cpu_cores * \r\n                self.usage_hours * \r\n                self.base_rate * \r\n                30)  # \u6708\u5ea6\u4f30\u7b97\r\n<\/code><\/pre>\n
CPU\u865a\u62df\u5316\u7684\u672a\u6765\u8d8b\u52bf<\/strong><\/h2>\n
\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u884c\u4e1a\u6b63\u5728\u968f\u7740\u65b0\u5174\u6280\u672f\u53d1\u5c55:<\/p>\n
\n
\u91cf\u5b50\u542f\u53d1\u7684CPU\u8c03\u5ea6\u7b97\u6cd5<\/li>\n
AI\u9a71\u52a8\u7684\u8d44\u6e90\u4f18\u5316<\/li>\n
\u8fb9\u7f18\u8ba1\u7b97\u96c6\u6210<\/li>\n<\/ul>\n
\u771f\u5b9e\u4e16\u754c\u5b9e\u65bd\u6848\u4f8b\u7814\u7a76<\/strong><\/h2>\n
\u8ba9\u6211\u4eec\u7814\u7a76\u8fd9\u4e9b\u6982\u5ff5\u5982\u4f55\u5e94\u7528\u4e8e\u751f\u4ea7\u73af\u5883\u3002\u4e00\u5bb6\u4e3b\u8981\u7684\u7f8e\u56fd\u79df\u7528\u670d\u52a1\u63d0\u4f9b\u5546\u5b9e\u65bd\u4e86\u4ee5\u4e0b\u4f18\u5316\u7b56\u7565:<\/p>\n
\r\n# \u751f\u4ea7\u914d\u7f6e\u793a\u4f8b\r\napiVersion: v1\r\nkind: Pod\r\nmetadata:\r\n  name: cpu-optimized-pod\r\nspec:\r\n  containers:\r\n  - name: app-container\r\n    resources:\r\n      limits:\r\n        cpu: \"2\"\r\n      requests:\r\n        cpu: \"1.5\"\r\n    cpu:\r\n      shares: 1024\r\n      quota: 200000\r\n      period: 100000\r\n<\/code><\/pre>\n
\u6700\u4f73\u5b9e\u8df5\u548c\u5efa\u8bae<\/strong><\/h2>\n
\u4e3a\u4e86\u5728\u865a\u62df\u5316\u73af\u5883\u4e2d\u5b9e\u73b0\u6700\u4f73\u7684CPU\u8d44\u6e90\u7ba1\u7406,\u8bf7\u8003\u8651\u4ee5\u4e0b\u5173\u952e\u5efa\u8bae:<\/p>\n
\n
\u57fa\u4e8e\u5de5\u4f5c\u8d1f\u8f7d\u6a21\u5f0f\u5b9e\u65bd\u81ea\u52a8CPU\u6269\u5c55<\/li>\n
\u5b9a\u671f\u6027\u80fd\u5ba1\u8ba1\u548c\u4f18\u5316<\/li>\n
\u4e3a\u5173\u952e\u5de5\u4f5c\u8d1f\u8f7d\u7ef4\u6301N+1\u5197\u4f59<\/li>\n
\u4e3aI\/O\u5bc6\u96c6\u578b\u64cd\u4f5c\u4f7f\u7528\u4e13\u7528CPU\u6838\u5fc3<\/li>\n<\/ul>\n
\u7ed3\u8bba\u548c\u672a\u6765\u5c55\u671b<\/strong><\/h2>\n
\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u548c\u6258\u7ba1\u670d\u52a1\u4e2d\u7684CPU\u8d44\u6e90\u7ba1\u7406\u683c\u5c40\u5728\u4e0d\u65ad\u53d1\u5c55\u3002\u5728\u8fd9\u4e2a\u9886\u57df\u53d6\u5f97\u6210\u529f\u9700\u8981\u5728\u8d44\u6e90\u9694\u79bb\u3001\u6027\u80fd\u4f18\u5316\u548c\u6210\u672c\u7ba1\u7406\u4e4b\u95f4\u91c7\u53d6\u5e73\u8861\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u5b9e\u65bd\u672c\u6307\u5357\u4e2d\u8ba8\u8bba\u7684\u7b56\u7565\u548c\u5de5\u5177,\u7ec4\u7ec7\u53ef\u4ee5\u6784\u5efa\u66f4\u9ad8\u6548\u548c\u66f4\u5177\u5f39\u6027\u7684\u865a\u62df\u5316\u73af\u5883\u3002<\/p>\n
\u65e0\u8bba\u60a8\u662f\u5728\u7ba1\u7406\u5c0f\u578b\u79df\u7528\u4e1a\u52a1\u8fd8\u662f\u5927\u89c4\u6a21\u6258\u7ba1\u8bbe\u65bd,\u7406\u89e3\u548c\u5b9e\u65bd\u9002\u5f53\u7684CPU\u8d44\u6e90\u9694\u79bb\u5bf9\u4e8e\u5728\u7f8e\u56fd\u670d\u52a1\u5668\u5e02\u573a\u4fdd\u6301\u7ade\u4e89\u4f18\u52bf\u90fd\u81f3\u5173\u91cd\u8981\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u670d\u52a1\u5668\u865a\u62df\u5316\u548cCPU\u7ba1\u7406\u7b80\u4ecb \u5728\u5f53\u4eca\u5145\u6ee1\u6d3b\u529b\u7684\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d,\u9ad8\u6548\u7684CPU\u8d44\u6e90\u7ba1\u7406\u5bf9\u4e8e\u7ef4\u6301\u865a\u62df\u5316\u73af\u5883\u4e2d\u7684\u6700\u4f73\u6027\u80fd\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002\u65e0\u8bba\u60a8\u662f\u5728\u7ba1\u7406\u79df\u7528\u5e73\u53f0\u8fd8\u662f\u76d1\u7763\u670d\u52a1\u5668\u6258\u7ba1\u670d\u52a1,\u4e86\u89e3CPU\u8d44\u6e90\u9694\u79bb\u5bf9\u4e8e\u786e\u4fdd\u865a\u62df\u673a(VM)\u7684\u4e00\u81f4\u6027\u80fd\u90fd\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002 \u7406\u89e3CPU\u865a\u62df\u5316\u67b6\u6784 \u4ece\u672c\u8d28\u4e0a\u8bb2,\u7f8e\u56fd\u670d\u52a1\u5668\u73af\u5883\u4e2d\u7684CPU\u865a\u62df\u5316\u6d89\u53ca\u521b\u5efa\u9694\u79bb\u7684\u5904\u7406\u8d44\u6e90\u5b9e\u4f8b\u3002\u8fd9\u79cd\u9694\u79bb\u662f\u901a\u8fc7KVM\u3001VMware\u548cHyper-V\u7b49\u590d\u6742\u7684\u865a\u62df\u673a\u76d1\u63a7\u7a0b\u5e8f\u6280\u672f\u5b9e\u73b0\u7684\u3002\u8ba9\u6211\u4eec\u6765\u770b\u770b\u5982\u4f55\u5728\u786c\u4ef6\u5c42\u9762\u5b9e\u73b0CPU\u8d44\u6e90\u865a\u62df\u5316: # KVM CPU\u5206\u914d\u914d\u7f6e\u793a\u4f8b <vcpu placement=’static’>4<\/vcpu> <cputune> <shares>1024<\/shares> <period>100000<\/period> <quota>-1<\/quota> <vcpupin vcpu=’0′ cpuset=’0′> <vcpupin vcpu=’1′ cpuset=’1′> <\/cputune> \u6838\u5fc3CPU\u8d44\u6e90\u9694\u79bb\u6280\u672f \u73b0\u4ee3\u7f8e\u56fd\u670d\u52a1\u5668\u865a\u62df\u5316\u91c7\u7528\u591a\u79cd\u5173\u952e\u7684CPU\u9694\u79bb\u673a\u5236\u3002\u5bf9\u4e8e\u7ba1\u7406\u591a\u79df\u6237\u73af\u5883\u7684\u670d\u52a1\u5668\u79df\u7528\u63d0\u4f9b\u5546\u548c\u7cfb\u7edf\u7ba1\u7406\u5458\u6765\u8bf4,\u7406\u89e3\u8fd9\u4e9b\u6280\u672f\u81f3\u5173\u91cd\u8981\u3002 CPU\u7ed1\u5b9a\u548cNUMA\u611f\u77e5 NUMA(\u975e\u7edf\u4e00\u5185\u5b58\u8bbf\u95ee)\u611f\u77e5\u548cCPU\u7ed1\u5b9a\u662f\u4f18\u5316\u865a\u62df\u5316\u73af\u5883\u6027\u80fd\u7684\u9ad8\u7ea7\u6280\u672f\u3002\u4ee5\u4e0b\u662f\u5b9e\u9645\u5b9e\u73b0\u793a\u4f8b: # Linux CPU\u7ed1\u5b9a\u547d\u4ee4 taskset -pc 0-3 $VM_PID # NUMA\u8282\u70b9\u5206\u914d numactl –cpunodebind=0 –membind=0 $VM_COMMAND \u8d44\u6e90\u63a7\u5236\u7ec4 \u63a7\u5236\u7ec4(cgroups)\u63d0\u4f9b\u7cbe\u7ec6\u7684CPU\u8d44\u6e90\u7ba1\u7406\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528cgroups\u5b9e\u73b0CPU\u9650\u5236: # \u521b\u5efa\u548c\u914d\u7f6ecgroup mkdir \/sys\/fs\/cgroup\/cpu\/virt_instance1 echo 100000 > \/sys\/fs\/cgroup\/cpu\/virt_instance1\/cpu.cfs_period_us echo 50000 > \/sys\/fs\/cgroup\/cpu\/virt_instance1\/cpu.cfs_quota_us \u6027\u80fd\u76d1\u63a7\u548c\u4f18\u5316 \u6709\u6548\u7684\u670d\u52a1\u5668\u79df\u7528\u670d\u52a1\u9700\u8981\u6301\u7eed\u76d1\u63a7CPU\u8d44\u6e90\u5229\u7528\u7387\u3002\u6211\u4eec\u5c06\u7814\u7a76\u5173\u952e\u6027\u80fd\u6307\u6807\u548c\u5de5\u5177: \u8d44\u6e90\u76d1\u63a7\u5de5\u5177 \u4ee5\u4e0b\u662f\u7528\u4e8e\u8de8\u865a\u62df\u5b9e\u4f8b\u8fdb\u884c\u57fa\u672cCPU\u76d1\u63a7\u7684Python\u811a\u672c: […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":3,"featured_media":22818,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4816],"tags":[6835,4853,4377,4202,1784],"class_list":["post-22820","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america-dedicated-server-sc","tag-cpu-virtualization-sc","tag-us-hosting-sc","tag-resource-management-sc","tag-vmware-sc","tag-kvm-sc"],"acf":[],"yoast_head":"\n