{"id":1073745,"date":"2024-06-28T13:40:00","date_gmt":"2024-06-28T20:40:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=1073745"},"modified":"2024-09-25T04:21:41","modified_gmt":"2024-09-25T11:21:41","slug":"learning-augmented-systems-2","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/learning-augmented-systems-2\/","title":{"rendered":"\u4ee5\u667a\u80fd\u5316\u4e3a\u8235\u624b\uff0c\u5f15\u9886\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u67b6\u6784\u65b0\u822a\u5411"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u6881\u5091\u7136<\/em><\/p>\n\n\n\n

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\"Learning<\/figure>\n\n\n\n

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“\u6a21\u5757\u5316”\u662f\u5c06\u673a\u5668\u5b66\u4e60\u878d\u5165\u8ba1\u7b97\u673a\u7cfb\u7edf\u57fa\u7840\u7684\u4e00\u5927\u5173\u952e\u3002\u867d\u7136\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u5177\u6709\u9ad8\u5ea6\u7684\u89c4\u6a21\u6027\u548c\u590d\u6742\u5ea6\uff0c\u4f46\u5b83\u4eec\u5b9e\u9645\u4e0a\u662f\u7531\u591a\u4e2a\u5b50\u7ec4\u4ef6\u6216\u670d\u52a1\u7ec4\u5408\u800c\u6210\uff0c\u5176\u52a8\u6001\u6027\u4e5f\u5c31\u6709\u89c4\u5f8b\u53ef\u5faa\u3002\u4ee5\u4e00\u4e2a\u7531\u591a\u4e2a\u5fae\u670d\u52a1\u7ec4\u6210\u7684\u4e91\u7cfb\u7edf\u4e3a\u4f8b\uff0c\u5982\u679c\u66f4\u65b0\u4e86\u5176\u4e2d\u7684\u4e00\u4e2a\u5fae\u670d\u52a1\uff0c\u90a3\u4e48\u53ef\u80fd\u4f1a\u5f71\u54cd\u5230\u6574\u4e2a\u7cfb\u7edf\u7684\u7aef\u5230\u7aef\u6027\u80fd\u3002\u4f46\u662f\uff0c\u4ece\u7cfb\u7edf\u67b6\u6784\u4e0a\u6765\u770b\uff0c\u8fd9\u79cd\u66f4\u65b0\u53ea\u662f\u66f4\u6539\u4e86\u67d0\u4e2a\u72ec\u7acb\u670d\u52a1\u7684\u7f16\u7801\u914d\u7f6e\u3002\u540c\u7406\uff0c\u7cfb\u7edf\u7684\u6269\u5bb9\uff0c\u5373\u7cfb\u7edf\u91cc\u7684\u67d0\u4e2a\u670d\u52a1\u88ab\u72ec\u7acb\u590d\u5236\u5e76\u90e8\u7f72\u4e86\u591a\u4efd\uff0c\u4e5f\u662f\u5982\u6b64\u3002\u56e0\u6b64\uff0c\u5982\u679c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e5f\u53ea\u9700\u8981\u76f8\u5e94\u5730\u4fee\u6539\u53d8\u5316\u90e8\u5206\uff0c\u90a3\u76f8\u6bd4\u4e8e\u6301\u7eed\u8bad\u7ec3\u6574\u4e2a\u6a21\u578b\uff0c\u5c31\u5c06\u5927\u5927\u5730\u51cf\u5c11\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\u7684\u7ef4\u62a4\u6210\u672c\u3002<\/p>\n\n\n\n

\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u7684\u5229\u7528\u6a21\u5757\u5316\u5b66\u4e60\u6a21\u62df\u7aef\u5230\u7aef\u7cfb\u7edf\u5ef6\u8fdf\u7684\u6846\u67b6 Fluxion [3]\uff0c\u662f\u5728\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\u4e2d\u5e94\u7528\u6a21\u5757\u5316\u5b66\u4e60\uff08modularized learning\uff09\u7684\u7b2c\u4e00\u6b65\u3002\u5728\u9884\u6d4b\u5fae\u670d\u52a1\u7cfb\u7edf\u5ef6\u8fdf\u7684\u4efb\u52a1\u4e0a\uff0c\u968f\u7740\u4e2a\u522b\u670d\u52a1\u7684\u6301\u7eed\u6269\u5bb9\u548c\u90e8\u7f72\uff0cFluxion \u663e\u8457\u51cf\u4f4e\u4e86\u5ef6\u8fdf\u9884\u6d4b\u6a21\u578b\u7684\u7ef4\u62a4\u6210\u672c\u3002\u901a\u8fc7\u5f15\u5165\u65b0\u7684\u5b66\u4e60\u62bd\u8c61\uff0cFluxion \u5141\u8bb8\u5bf9\u5355\u4e2a\u7cfb\u7edf\u5b50\u7ec4\u4ef6\u8fdb\u884c\u72ec\u7acb\u5efa\u6a21\uff0c\u5e76\u4e14\u901a\u8fc7\u64cd\u4f5c\u53ef\u5c06\u591a\u4e2a\u5b50\u7ec4\u4ef6\u7684\u6a21\u578b\u7ec4\u5408\u6210\u4e00\u4e2a\u63a8\u7406\u56fe\u3002\u63a8\u7406\u56fe\u7684\u8f93\u51fa\u5373\u4e3a\u7cfb\u7edf\u7684\u7aef\u5230\u7aef\u5ef6\u8fdf\u3002\u6b64\u5916\uff0c\u63a8\u7406\u56fe\u53ef\u4ee5\u52a8\u6001\u5730\u88ab\u8c03\u6574\uff0c\u8fdb\u800c\u4e0e\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u5b9e\u9645\u90e8\u7f72\u8fdb\u884c\u5bf9\u9f50\u3002\u8fd9\u4e00\u505a\u6cd5\u4e0e\u76f4\u63a5\u5bf9\u6574\u4e2a\u7cfb\u7edf\u8fdb\u884c\u7aef\u5230\u7aef\u5ef6\u8fdf\u5efa\u6a21\u7684\u65b9\u6cd5\u6709\u663e\u8457\u533a\u522b\u3002\u76f8\u5173\u8bba\u6587 On Modular Learning of Distributed Systems for Predicting End-to-End Latency \u53d1\u8868\u4e8e\u202fNSDI 2023\u3002<\/p>\n\n\n\n

\"diagram\"<\/figure>\n\n\n\n
\"Learning
\u56fe1\uff1aFluxion\u202f\u5f15\u5165\u4e86\u6a21\u5757\u5316\u7684\u5b66\u4e60\u62bd\u8c61\uff0c\u5141\u8bb8\u5bf9\u5355\u4e2a\u7cfb\u7edf\u5b50\u7ec4\u4ef6\u8fdb\u884c\u72ec\u7acb\u5efa\u6a21\u3002\u8fd9\u4e00\u505a\u6cd5\u4e0e\u76f4\u63a5\u5bf9\u6574\u4e2a\u7cfb\u7edf\u8fdb\u884c\u7aef\u5230\u7aef\u5ef6\u8fdf\u5efa\u6a21\u7684\u65b9\u6cd5\u6709\u663e\u8457\u533a\u522b\u3002<\/figcaption><\/figure>\n\n\n\n

\u5728 Fluxion\u202f\u6846\u67b6\u7684\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u5458\u4eec\u53c8\u63d0\u51fa\u4e86\u9488\u5bf9\u5177\u6709\u7cfb\u7edf\u5ef6\u8fdf\u76ee\u6807\u7684\u5fae\u670d\u52a1\u7684\u53cc\u7ea7\u8d44\u6e90\u7ba1\u7406\u6846\u67b6 Autothrottle [4]\uff0c\u5c06\u201c\u6a21\u5757\u5316\u201d\u7684\u7406\u5ff5\u5f15\u5165\u5230\u7cfb\u7edf\u8d44\u6e90\u7ba1\u7406\u4e2d\uff0c\u7279\u522b\u662f\u81ea\u52a8\u6269\u5bb9\u8fd9\u4e00\u91cd\u8981\u4efb\u52a1\u3002\u81ea\u52a8\u6269\u5bb9\u65e8\u5728\u4e3a\u6bcf\u4e2a\u5fae\u670d\u52a1\u81ea\u52a8\u5206\u914d\u9002\u5f53\u7684\u8d44\u6e90\uff0c\u4ee5\u6ee1\u8db3\u7528\u6237\u8bbe\u5b9a\u7684\u7cfb\u7edf\u5ef6\u8fdf\u76ee\u6807\uff08service-level objective\uff09\u3002\u7b80\u5355\u6765\u8bf4\uff0c\u5f53\u6bcf\u79d2\u7684\u7528\u6237\u9700\u6c42\u589e\u52a0\u65f6\uff0c\u7cfb\u7edf\u8d44\u6e90\u4e5f\u5e94\u8be5\u76f8\u5e94\u5730\u81ea\u52a8\u589e\u52a0\u6765\u6ee1\u8db3\u5ef6\u8fdf\u76ee\u6807\u3002\u53cd\u4e4b\uff0c\u5f53\u6bcf\u79d2\u7684\u7528\u6237\u9700\u6c42\u51cf\u5c11\u65f6\uff0c\u7cfb\u7edf\u8d44\u6e90\u4e5f\u5e94\u8be5\u76f8\u5e94\u5730\u81ea\u52a8\u51cf\u5c11\u3002\u8fd9\u79cd\u81ea\u52a8\u6269\u5bb9\u673a\u5236\u80fd\u591f\u5e73\u8861\u8d44\u6e90\u5206\u914d\u989d\u5ea6\u4e0e\u7cfb\u7edf\u6027\u80fd\u3002\u76ee\u524d\uff0c\u4e1a\u754c\u5e38\u89c1\u7684\u4f5c\u6cd5\u662f\u4f7f\u7528\u542f\u53d1\u5f0f\u7b97\u6cd5\uff0c\u6bd4\u5982\u202fKubernetes\u202f\u7684\u202fHPA\u202f\u548c\u202fVPA\uff0c\u4f46\u8fd9\u4e9b\u7b97\u6cd5\u9700\u8981\u8fd0\u7ef4\u4eba\u5458\u624b\u52a8\u8bbe\u5b9a\u9608\u503c\u5e76\u6301\u7eed\u8c03\u6574\u3002<\/p>\n\n\n\n

\u57fa\u4e8e\u8fd9\u4e00\u75db\u70b9\uff0c\u673a\u5668\u5b66\u4e60\u53ef\u4ee5\u4f5c\u4e3a\u9a71\u52a8\u81ea\u52a8\u6269\u5bb9\u7684\u4e00\u4e2a\u65b0\u65b9\u6cd5\u3002\u76f8\u5173\u5de5\u4f5c\u7ed3\u5408\u4e86\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff08\u5982\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u56fe\u795e\u7ecf\u7f51\u7edc\uff09\u548c\u65b9\u6cd5\uff08\u5982\u5f3a\u5316\u5b66\u4e60\uff09\uff0c\u4ee5\u5bf9\u6574\u4e2a\u7cfb\u7edf\u7684\u5168\u5c40\u8d44\u6e90\u4e0e\u6548\u80fd\u7684\u5173\u7cfb\u8fdb\u884c\u5efa\u6a21\u3002\u867d\u7136\u590d\u6742\u7684\u6a21\u578b\u80fd\u5b66\u4e60\u5230\u7cfb\u7edf\u5168\u5c40\u7684\u590d\u6742\u5173\u7cfb\uff0c\u4f46\u8bad\u7ec3\u8fd9\u4e9b\u6a21\u578b\u4ecd\u9700\u6602\u8d35\u7684\u6570\u636e\u91c7\u96c6\u548c\u8d44\u6e90\u5f00\u9500\u6210\u672c\u3002<\/p>\n\n\n\n

\u5728\u6a21\u5757\u5316\u7684\u8bbe\u8ba1\u7406\u5ff5\u4e0b\uff0cAutothrottle\u202f\u5c06\u81ea\u52a8\u6269\u5bb9\u5206\u89e3\u4e3a\u4e00\u7cfb\u5217\u7b80\u5355\u7684\u5b50\u5b66\u4e60\u95ee\u9898\uff0c\u7c7b\u4f3c\u4e8eFluxion\uff0c\u6bcf\u4e2a\u95ee\u9898\u5bf9\u5e94\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u5fae\u670d\u52a1\u3002\u867d\u7136\u6bcf\u4e2a\u5fae\u670d\u52a1\u7684\u8d44\u6e90\u5206\u914d\u90fd\u662f\u72ec\u7acb\u7684\uff0c\u4f46 Autothrottle\u202f\u7684\u8bbe\u8ba1\u8003\u8651\u5230\u4e86\u5fae\u670d\u52a1\u7684\u5c40\u90e8\u5ef6\u8fdf\u4f1a\u5171\u540c\u5f71\u54cd\u7cfb\u7edf\u7684\u5168\u5c40\u5ef6\u8fdf\u3002\u6240\u4ee5\uff0c\u5f53\u7cfb\u7edf\u7684\u5168\u5c40\u5ef6\u8fdf\u8fc7\u9ad8\uff08\u6216\u8fc7\u4f4e\uff09\u65f6\uff0cAutothrottle\u202f\u53ef\u4ee5\u9884\u6d4b\u6bcf\u4e2a\u5fae\u670d\u52a1\u9700\u8981\u540c\u7b49\u589e\u52a0\uff08\u6216\u964d\u4f4e\uff09\u591a\u5c11\u7684\u5c40\u90e8\u5ef6\u8fdf\u76ee\u6807\u3002\u57fa\u4e8e\u8fd9\u4e9b\u76ee\u6807\uff0c\u6bcf\u4e2a\u5fae\u670d\u52a1\u518d\u81ea\u4e3b\u6839\u636e\u81ea\u5df1\u7684\u5f53\u524d\u8d1f\u8f7d\uff0c\u6765\u9884\u6d4b\u6240\u9700\u7684\u8d44\u6e90\u5206\u914d\uff08\u5982\u202fCPU\uff09\u3002<\/p>\n\n\n\n

\u7814\u7a76\u5458\u4eec\u53d1\u73b0\uff0cCPU throttle\u202f\u6307\u6807\uff08\u5728\u7279\u5b9a\u65f6\u95f4\u6bb5\u5185\uff0c\u4e00\u4e2a\u8fdb\u7a0b\u7684\u202fCPU\u202f\u989d\u5ea6\u88ab\u7528\u5c3d\u7684\u6b21\u6570\uff09\u5f88\u9002\u5408\u4f5c\u4e3a\u5c40\u90e8\u5ef6\u8fdf\u76ee\u6807\u3002\u6240\u4ee5\uff0c\u5982\u679c\u4e00\u4e2a\u5fae\u670d\u52a1\u7684\u8d1f\u8f7d\u8f83\u91cd\uff0c\u5e94\u589e\u52a0\u8be5\u5fae\u670d\u52a1\u7684 CPU \u8d44\u6e90\u5206\u914d\uff0c\u4ee5\u6ee1\u8db3\u6307\u5b9a\u7684\u202fCPU throttle\u202f\u76ee\u6807\u3002\u53cd\u4e4b\uff0c\u5f53\u8d1f\u8f7d\u8f83\u8f7b\u65f6\uff0c\u5e94\u51cf\u5c11 CPU \u8d44\u6e90\uff0c\u6765\u6ee1\u8db3\u6307\u5b9a\u7684\u202fCPU throttle\u202f\u76ee\u6807\u3002<\/p>\n\n\n\n

\u57fa\u4e8e\u7cfb\u7edf\u7684\u5168\u5c40\u5ef6\u8fdf\u5386\u53f2\uff0cAutothrottle\u202f\u7684\u202fTower\u202f\u7ec4\u4ef6\u4f7f\u7528\u202fcontextual bandit\u202f\u7b97\u6cd5\u6765\u8ba1\u7b97\u5c40\u90e8\u5ef6\u8fdf\u76ee\u6807\uff0c\u800c\u202fAutothrottle\u202f\u7684\u202fCaptain\u202f\u7ec4\u4ef6\u5219\u5728\u6bcf\u4e2a\u5fae\u670d\u52a1\u4e0a\u4f7f\u7528\u53cd\u9988\u63a7\u5236\u56de\u8def\u6765\u5feb\u901f\u8c03\u6574\u202fCPU\u202f\u8d44\u6e90\u5206\u914d\u3002\u8fd9\u79cd\u6a21\u5757\u5316\u7684\u8bbe\u8ba1\u65b9\u6cd5\u4e3a\u7cfb\u7edf\u8d44\u6e90\u7ba1\u7406\u63d0\u4f9b\u4e86\u66f4\u52a0\u9ad8\u6548\u548c\u7cbe\u51c6\u7684\u89e3\u51b3\u65b9\u6848\u3002\u76f8\u5173\u8bba\u6587 Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices \u83b7\u8bc4 NSDI 2024 \u6770\u51fa\u8bba\u6587\u5956\u3002<\/p>\n\n\n\n

\"Learning
\u56fe2\uff1aAutothrottle\u202f\u628a\u6a21\u5757\u5316\u5b66\u4e60\u5e94\u7528\u5728\u81ea\u52a8\u6269\u5bb9\u7684\u4efb\u52a1\u4e0a\u3002<\/figcaption><\/figure>\n\n\n\n

“\u7cfb\u7edf\u5316”\u5927\u6a21\u578b\u63a8\u7406\u601d\u7ef4\uff0c\u8d4b\u4e88\u8ba1\u7b97\u673a\u7cfb\u7edf\u81ea\u6211\u8fdb\u5316\u7684\u80fd\u529b<\/h2>\n\n\n\n

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\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u8ba4\u4e3a\uff0c\u5927\u6a21\u578b\u7684\u66f4\u5927\u4ef7\u503c\u5728\u4e8e\u8d4b\u4e88\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u81ea\u6211\u8fdb\u5316\u7684\u80fd\u529b\u3002\u5982\u540c\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u7684\u6570\u503c\u4f18\u5316\u80fd\u529b\uff0c\u5927\u6a21\u578b\u7684\u63a8\u7406\u601d\u7ef4\u80fd\u529b\u4e5f\u4ee4\u4eba\u7740\u8ff7\u3002\u5982\u679c\u8ba1\u7b97\u673a\u7cfb\u7edf\u80fd\u591f\u601d\u8003\u81ea\u5df1\uff08\u65f6\u95f4\u548c\u7a7a\u95f4\u4e0a\uff09\u7684\u884c\u4e3a\u662f\u5426\u5408\u7406\uff0c\u5e76\u7528\u601d\u7ef4\u94fe\u6765\u63a8\u7406\u81ea\u5df1\u7684\u884c\u4e3a\u5e94\u8be5\u5982\u4f55\u53d8\u5316\uff0c\u90a3\u4e48\u8ba1\u7b97\u673a\u7cfb\u7edf\u5219\u80fd\u81ea\u6211\u8fdb\u5316\u3002\u7814\u7a76\u5458\u4eec\u76f8\u4fe1\uff0c\u81ea\u6211\u8fdb\u5316\u4f1a\u662f\u8ba1\u7b97\u673a\u7cfb\u7edf\u53d1\u5c55\u7684\u4e00\u4e2a\u91cd\u5927\u8303\u5f0f\u8f6c\u53d8\u3002<\/p>\n\n\n\n

\u56de\u987e\u8ba1\u7b97\u673a\u7684\u53d1\u5c55\u5386\u7a0b\uff0c\u4ece\u8ba1\u7b97\u5de5\u5177\u5982\u7b97\u76d8\u548c\u6570\u636e\u8868\uff0c\u5230\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u5982\u5927\u6570\u636e\u548c\u4e91\u8ba1\u7b97\uff0c\u518d\u5230\u65b0\u5174\u7684\u5206\u5e03\u5f0f\u7cfb\u7edf\u5982 AI agents \u548c\u5177\u8eab\u673a\u5668\u4eba\u7b49\uff0c\u7cfb\u7edf\u8fed\u4ee3\u7684\u74f6\u9888\u4e3b\u8981\u5728\u4e8e\u4eba\u7c7b\u7684\u8111\u529b\u548c\u751f\u4ea7\u529b\u3002\u800c\u5927\u6a21\u578b\u7684\u63a8\u7406\u601d\u7ef4\u6709\u671b\u7a81\u7834\u8fd9\u4e00\u74f6\u9888\uff0c\u52a0\u901f\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u8fed\u4ee3\u3002<\/p>\n\n\n\n

\u90a3\u4e48\uff0c\u5982\u4f55\u624d\u80fd\u7cfb\u7edf\u5316\u5927\u6a21\u578b\u7684\u63a8\u7406\u601d\u7ef4\uff0c\u8fdb\u800c\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u884c\u4e3a\u8fdb\u884c\u601d\u8003\uff1f\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u6b63\u79ef\u6781\u5730\u4ece\u4e09\u4e2a\u65b9\u5411\u5c55\u5f00\uff1a<\/p>\n\n\n\n

(1)\u202f\u5927\u6a21\u578b\u672c\u8eab\u5bf9\u4e8e\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u57fa\u7840\u77e5\u8bc6\u50a8\u5907<\/p>\n\n\n\n

(2)\u202f\u5927\u6a21\u578b\u7684\u601d\u7ef4\u94fe\u5982\u4f55\u4e0e\u8ba1\u7b97\u673a\u7cfb\u7edf\uff08\u65f6\u95f4\u548c\u7a7a\u95f4\u4e0a\uff09\u7684\u884c\u4e3a\u5bf9\u9f50<\/p>\n\n\n\n

(3)\u202f\u5927\u6a21\u578b\u9a71\u52a8\u7684\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\u7684\u5b9e\u9645\u5e94\u7528<\/p>\n\n\n\n

\u672a\u6765\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5c06\u6301\u7eed\u81f4\u529b\u4e8e\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\u7684\u7814\u7a76\u4e0e\u5e94\u7528\uff0c\u5e76\u671f\u5f85\u4e0e\u5fd7\u540c\u9053\u5408\u7684\u7814\u7a76\u8005\u5171\u540c\u89e3\u51b3\u8fd9\u4e9b\u6311\u6218\u3002<\/p>\n\n\n\n

\u76f8\u5173\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n\n\n\n

[1] Metis: Robustly Optimizing Tail Latencies of Cloud Systems. Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun. USENIX ATC ’18.<\/p>\n\n\n\n

\u94fe\u63a5\uff1ahttps:\/\/www.microsoft.com\/en-us\/research\/publication\/metis-robustly-tuning-tail-latencies-cloud-systems\/<\/a><\/p>\n\n\n\n

[2] AutoSys: The Design and Operation of Learning-Augmented Systems. Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai. USENIX ATC ’20.<\/p>\n\n\n\n

\u94fe\u63a5\uff1ahttps:\/\/www.microsoft.com\/en-us\/research\/publication\/autosys-the-design-and-operation-of-learning-augmented-systems\/<\/a><\/p>\n\n\n\n

[3] On Modular Learning of Distributed Systems for Predicting End-to-End Latency. Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, and Lidong Zhou. USENIX NSDI ’23.<\/p>\n\n\n\n

\u94fe\u63a5\uff1ahttps:\/\/www.microsoft.com\/en-us\/research\/publication\/on-modular-learning-of-distributed-systems-for-predicting-end-to-end-latency\/<\/a><\/p>\n\n\n\n

[4] Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices. Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan. Outstanding Paper Award of USENIX NSDI ’24.<\/p>\n\n\n\n

\u94fe\u63a5\uff1ahttps:\/\/www.microsoft.com\/en-us\/research\/publication\/autothrottle\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u4f5c\u8005\uff1a\u6881\u5091\u7136 \u7f16\u8005\u6309\uff1a\u5982\u4eca\u8ba1\u7b97\u673a\u7cfb\u7edf\u627f\u8f7d\u7684\u670d\u52a1\u548c\u7b97\u6cd5\u903b\u8f91\u65e5\u76ca\u590d\u6742\uff0c\u7406\u89e3\u3001\u8bbe\u8ba1\u5e76\u6539\u8fdb\u8ba1\u7b97\u673a\u7cfb\u7edf\u5df2\u6210\u4e3a\u6838\u5fc3\u6311\u6218\u3002\u9762\u5bf9\u7cfb\u7edf\u590d\u6742\u5ea6\u548c\u89c4\u6a21\u7684\u6307\u6570\u7ea7\u589e\u957f\uff0c\u4ee5\u53ca\u65b0\u7684\u5927\u6a21\u578b\u9a71\u52a8\u573a\u666f\u4e0b\u7684\u5206\u5e03\u5f0f\u7cfb\u7edf\u5f62\u6001\u7684\u6d8c\u73b0\uff0c\u4eba\u4eec\u4e9f\u9700\u521b\u65b0\u65b9\u6cd5\u4e0e\u6280\u672f\u6765\u5e94\u5bf9\u3002\u5728\u8ba1\u7b97\u673a\u7cfb\u7edf\u53d1\u5c55\u7684\u65b0\u7bc7\u7ae0\u91cc\uff0c\u73b0\u4ee3\u7cfb\u7edf\u5e94\u5f53\u662f\u4e00\u4e2a\u4e0d\u65ad\u81ea\u6211\u8fdb\u5316\u7684\u7ed3\u679c\u3002\u673a\u5668\u5b66\u4e60\u548c\u5927\u6a21\u578b\u7684\u5d1b\u8d77\u4f7f\u5f97\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u8fce\u6765\u4e86\u65b0\u7684\u667a\u80fd\u5316\u673a\u9047\uff0c\u5373\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\uff08learning-augmented systems\uff09\u3002\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u521b\u65b0\u5730\u4ece\u4e24\u4e2a\u6838\u5fc3\u65b9\u5411\uff0c\u6765\u601d\u8003\u7cfb\u7edf\u5e94\u5982\u4f55\u4e0d\u65ad\u81ea\u6211\u5b66\u4e60\u548c\u81ea\u6211\u8fdb\u5316\uff1a\u201c\u6a21\u5757\u5316\u201d\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u4e0e\u201c\u7cfb\u7edf\u5316\u201d\u5927\u6a21\u578b\u7684\u63a8\u7406\u601d\u7ef4\u3002\u76ee\u6807\u5728\u4e8e\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u5bf9\u9f50\u590d\u6742\u591a\u53d8\u7684\u7cfb\u7edf\u73af\u5883\u548c\u9700\u6c42\uff0c\u5e76\u4e14\u63a8\u7406\u601d\u7ef4\u80fd\u591f\u5bf9\u9f50\u8ba1\u7b97\u673a\u7cfb\u7edf\u65f6\u95f4\u548c\u7a7a\u95f4\u4e0a\u7684\u884c\u4e3a\u3002\u76f8\u5173\u8bba\u6587 Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices \u83b7\u8bc4 NSDI 2024 \u6770\u51fa\u8bba\u6587\u5956\u3002 \u968f\u7740\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0c\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e0d\u4ec5\u627f\u62c5\u7740\u4eba\u4eec\u751f\u6d3b\u4e2d\u4f17\u591a\u670d\u52a1\u7684\u91cd\u4efb\uff0c\u8fd8\u5305\u542b\u7740\u8bb8\u591a\u590d\u6742\u7684\u7b97\u6cd5\u903b\u8f91\u3002\u7528\u6237\u9700\u6c42\u7684\u591a\u6837\u5316\u4e0e\u573a\u666f\u7684\u589e\u52a0\uff0c\u4e5f\u4f7f\u5f97\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u590d\u6742\u6027\u548c\u89c4\u6a21\u6301\u7eed\u589e\u957f\u3002\u4ece\u641c\u7d22\u3001\u8d2d\u7269\u3001\u804a\u5929\u5230\u65b0\u95fb\u63a8\u8350\u3001\u4e32\u6d41\u5a92\u4f53\u548c\u4eba\u5de5\u667a\u80fd\u670d\u52a1\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u7684\u590d\u6742\u6027\u4e0d\u53ea\u662f\u5e9e\u5927\u7684\u4ee3\u7801\u91cf\uff0c\u66f4\u4f53\u73b0\u5728\u80cc\u540e\u6210\u767e\u4e0a\u5343\u5de5\u7a0b\u5e08\u5728\u8bbe\u8ba1\u3001\u5f00\u53d1\u53ca\u7ef4\u62a4\u4e0a\u6240\u4ed8\u51fa\u7684\u5de8\u5927\u5de5\u4f5c\u91cf\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u65b0\u7c7b\u578b\u7684\u573a\u666f\uff08\u6bd4\u5982\u5927\u6a21\u578b\u9a71\u52a8\u202fco-pilots\u202f\u548c\u202fAI agents\uff09\u4e5f\u5e26\u6765\u4e86\u65b0\u5174\u7684\u5206\u5e03\u5f0f\u7cfb\u7edf\u5f62\u6001\u3002\u5982\u4f55\u7406\u89e3\u3001\u8bbe\u8ba1\u5e76\u4f5c\u51fa\u6539\u8fdb\u6210\u4e3a\u4e86\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u6838\u5fc3\u6311\u6218\u3002\u7136\u800c\uff0c\u7cfb\u7edf\u590d\u6742\u5ea6\u548c\u89c4\u6a21\u7684\u6307\u6570\u7ea7\u589e\u957f\uff0c\u4f7f\u5f97\u8fd9\u4e9b\u6311\u6218\u5df2\u7ecf\u65e0\u6cd5\u5b8c\u5168\u4f9d\u8d56\u4eba\u7684\u76f4\u89c9\u548c\u7ecf\u9a8c\u53bb\u89e3\u51b3\u3002 \u5e78\u8fd0\u7684\u662f\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u6280\u672f\u66f4\u65b0\u8fed\u4ee3\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7edf\u5e26\u6765\u4e86\u65b0\u7684\u673a\u9047\u3002\u5176\u4e2d\uff0c\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\uff08learning-augmented systems\uff09\u6b63\u9010\u6e10\u6210\u4e3a\u4ee5\u667a\u80fd\u5316\u6765\u91cd\u5851\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u65b0\u8d8b\u52bf\u3002\u5b66\u4e60\u589e\u5f3a\u7cfb\u7edf\u901a\u5e38\u91c7\u7528\u4e09\u79cd\u4e0d\u540c\u7684\u5b9e\u73b0\u8def\u5f84\uff1a\u4e00\u662f\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u6280\u672f\u6765\u8f85\u52a9\u589e\u5f3a\u73b0\u6709\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e2d\u542f\u53d1\u5f0f\u7b97\u6cd5\u548c\u51b3\u7b56\u89c4\u5219\u7684\u6027\u80fd\uff1b\u4e8c\u662f\u5229\u7528\u673a\u5668\u5b66\u4e60\u6280\u672f\u5bf9\u542f\u53d1\u5f0f\u7b97\u6cd5\u548c\u51b3\u7b56\u89c4\u5219\u8fdb\u884c\u4f18\u5316\u548c\u91cd\u65b0\u8bbe\u8ba1\uff1b\u4e09\u662f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53d6\u4ee3\u539f\u6709\u7684\u542f\u53d1\u5f0f\u7b97\u6cd5\u548c\u51b3\u7b56\u89c4\u5219\uff0c\u8fdb\u800c\u63a8\u52a8\u7cfb\u7edf\u7684\u5168\u9762\u667a\u80fd\u5316\u5347\u7ea7\u3002 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\u5141\u8bb8\u5bf9\u5355\u4e2a\u7cfb\u7edf\u5b50\u7ec4\u4ef6\u8fdb\u884c\u72ec\u7acb\u5efa\u6a21\uff0c\u5e76\u4e14\u901a\u8fc7\u64cd\u4f5c\u53ef\u5c06\u591a\u4e2a\u5b50\u7ec4\u4ef6\u7684\u6a21\u578b\u7ec4\u5408\u6210\u4e00\u4e2a\u63a8\u7406\u56fe\u3002\u63a8\u7406\u56fe\u7684\u8f93\u51fa\u5373\u4e3a\u7cfb\u7edf\u7684\u7aef\u5230\u7aef\u5ef6\u8fdf\u3002\u6b64\u5916\uff0c\u63a8\u7406\u56fe\u53ef\u4ee5\u52a8\u6001\u5730\u88ab\u8c03\u6574\uff0c\u8fdb\u800c\u4e0e\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u5b9e\u9645\u90e8\u7f72\u8fdb\u884c\u5bf9\u9f50\u3002\u8fd9\u4e00\u505a\u6cd5\u4e0e\u76f4\u63a5\u5bf9\u6574\u4e2a\u7cfb\u7edf\u8fdb\u884c\u7aef\u5230\u7aef\u5ef6\u8fdf\u5efa\u6a21\u7684\u65b9\u6cd5\u6709\u663e\u8457\u533a\u522b\u3002\u76f8\u5173\u8bba\u6587 On Modular Learning of Distributed Systems for Predicting End-to-End Latency \u53d1\u8868\u4e8e\u202fNSDI 2023\u3002 \u5728 Fluxion\u202f\u6846\u67b6\u7684\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u5458\u4eec\u53c8\u63d0\u51fa\u4e86\u9488\u5bf9\u5177\u6709\u7cfb\u7edf\u5ef6\u8fdf\u76ee\u6807\u7684\u5fae\u670d\u52a1\u7684\u53cc\u7ea7\u8d44\u6e90\u7ba1\u7406\u6846\u67b6 Autothrottle [4]\uff0c\u5c06\u201c\u6a21\u5757\u5316\u201d\u7684\u7406\u5ff5\u5f15\u5165\u5230\u7cfb\u7edf\u8d44\u6e90\u7ba1\u7406\u4e2d\uff0c\u7279\u522b\u662f\u81ea\u52a8\u6269\u5bb9\u8fd9\u4e00\u91cd\u8981\u4efb\u52a1\u3002\u81ea\u52a8\u6269\u5bb9\u65e8\u5728\u4e3a\u6bcf\u4e2a\u5fae\u670d\u52a1\u81ea\u52a8\u5206\u914d\u9002\u5f53\u7684\u8d44\u6e90\uff0c\u4ee5\u6ee1\u8db3\u7528\u6237\u8bbe\u5b9a\u7684\u7cfb\u7edf\u5ef6\u8fdf\u76ee\u6807\uff08service-level objective\uff09\u3002\u7b80\u5355\u6765\u8bf4\uff0c\u5f53\u6bcf\u79d2\u7684\u7528\u6237\u9700\u6c42\u589e\u52a0\u65f6\uff0c\u7cfb\u7edf\u8d44\u6e90\u4e5f\u5e94\u8be5\u76f8\u5e94\u5730\u81ea\u52a8\u589e\u52a0\u6765\u6ee1\u8db3\u5ef6\u8fdf\u76ee\u6807\u3002\u53cd\u4e4b\uff0c\u5f53\u6bcf\u79d2\u7684\u7528\u6237\u9700\u6c42\u51cf\u5c11\u65f6\uff0c\u7cfb\u7edf\u8d44\u6e90\u4e5f\u5e94\u8be5\u76f8\u5e94\u5730\u81ea\u52a8\u51cf\u5c11\u3002\u8fd9\u79cd\u81ea\u52a8\u6269\u5bb9\u673a\u5236\u80fd\u591f\u5e73\u8861\u8d44\u6e90\u5206\u914d\u989d\u5ea6\u4e0e\u7cfb\u7edf\u6027\u80fd\u3002\u76ee\u524d\uff0c\u4e1a\u754c\u5e38\u89c1\u7684\u4f5c\u6cd5\u662f\u4f7f\u7528\u542f\u53d1\u5f0f\u7b97\u6cd5\uff0c\u6bd4\u5982\u202fKubernetes\u202f\u7684\u202fHPA\u202f\u548c\u202fVPA\uff0c\u4f46\u8fd9\u4e9b\u7b97\u6cd5\u9700\u8981\u8fd0\u7ef4\u4eba\u5458\u624b\u52a8\u8bbe\u5b9a\u9608\u503c\u5e76\u6301\u7eed\u8c03\u6574\u3002 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\u5728\u6a21\u5757\u5316\u7684\u8bbe\u8ba1\u7406\u5ff5\u4e0b\uff0cAutothrottle\u202f\u5c06\u81ea\u52a8\u6269\u5bb9\u5206\u89e3\u4e3a\u4e00\u7cfb\u5217\u7b80\u5355\u7684\u5b50\u5b66\u4e60\u95ee\u9898\uff0c\u7c7b\u4f3c\u4e8eFluxion\uff0c\u6bcf\u4e2a\u95ee\u9898\u5bf9\u5e94\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u5fae\u670d\u52a1\u3002\u867d\u7136\u6bcf\u4e2a\u5fae\u670d\u52a1\u7684\u8d44\u6e90\u5206\u914d\u90fd\u662f\u72ec\u7acb\u7684\uff0c\u4f46 Autothrottle\u202f\u7684\u8bbe\u8ba1\u8003\u8651\u5230\u4e86\u5fae\u670d\u52a1\u7684\u5c40\u90e8\u5ef6\u8fdf\u4f1a\u5171\u540c\u5f71\u54cd\u7cfb\u7edf\u7684\u5168\u5c40\u5ef6\u8fdf\u3002\u6240\u4ee5\uff0c\u5f53\u7cfb\u7edf\u7684\u5168\u5c40\u5ef6\u8fdf\u8fc7\u9ad8\uff08\u6216\u8fc7\u4f4e\uff09\u65f6\uff0cAutothrottle\u202f\u53ef\u4ee5\u9884\u6d4b\u6bcf\u4e2a\u5fae\u670d\u52a1\u9700\u8981\u540c\u7b49\u589e\u52a0\uff08\u6216\u964d\u4f4e\uff09\u591a\u5c11\u7684\u5c40\u90e8\u5ef6\u8fdf\u76ee\u6807\u3002\u57fa\u4e8e\u8fd9\u4e9b\u76ee\u6807\uff0c\u6bcf\u4e2a\u5fae\u670d\u52a1\u518d\u81ea\u4e3b\u6839\u636e\u81ea\u5df1\u7684\u5f53\u524d\u8d1f\u8f7d\uff0c\u6765\u9884\u6d4b\u6240\u9700\u7684\u8d44\u6e90\u5206\u914d\uff08\u5982\u202fCPU\uff09\u3002 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