{"id":1070,"date":"2026-03-10T11:10:49","date_gmt":"2026-03-10T03:10:49","guid":{"rendered":"https:\/\/www.ndnlab.com\/?p=1070"},"modified":"2026-03-10T11:10:50","modified_gmt":"2026-03-10T03:10:50","slug":"towards-llm-based-failure-localization-in-production-scale-networks","status":"publish","type":"post","link":"https:\/\/www.ndnlab.com\/?p=1070","title":{"rendered":"Towards LLM-Based Failure Localization in Production-Scale Networks"},"content":{"rendered":"\n<p>SIGCOMM &#8217;25: ACM SIGCOMM 2025 Conference <em>September 8 &#8211; 11, 2025<\/em> <em>Coimbra, Portugal<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. \u6458\u8981\u4e0e\u7814\u7a76\u80cc\u666f\uff1a\u4e91\u7f51\u7edc\u8fd0\u7ef4\u7684\u74f6\u9888\u4e0e\u5927\u6a21\u578b\u7684\u673a\u9047<\/strong><\/h3>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-40\">\u5728\u73b0\u4ee3\u8d85\u5927\u89c4\u6a21\u516c\u6709\u4e91\u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u5982\u963f\u91cc\u5df4\u5df4\u4e91\uff0c\u7ef4\u62a4\u7f51\u7edc\u7684\u9ad8\u53ef\u7528\u6027\u662f\u81f3\u5173\u91cd\u8981\u4e14\u6781\u5177\u6311\u6218\u7684\u4efb\u52a1\u3002\u6bcf\u5f53\u7f51\u7edc\u53d1\u751f\u6545\u969c\uff08\u5373\u201c\u4e8b\u4ef6\u201d\uff09\u65f6\uff0c\u8fd0\u7ef4\u4eba\u5458\uff08Operators\uff09\u5fc5\u987b\u5728\u6781\u77ed\u7684\u65f6\u95f4\u5185\u4ece\u6d77\u91cf\u7684\u76d1\u6d4b\u6570\u636e\u4e2d\u8bc6\u522b\u51fa\u6839\u56e0\u8bbe\u5907\uff08Error Device\uff09<sup><\/sup>\u3002\u4f20\u7edf\u7684\u81ea\u52a8\u5316\u8fd0\u7ef4\u5de5\u5177\uff08AIOps\uff09\u867d\u7136\u5728\u5904\u7406\u5e38\u89c1\u6545\u969c\u65f6\u8868\u73b0\u826f\u597d\uff0c\u4f46\u9762\u5bf9\u590d\u6742\u6216\u4ece\u672a\u89c1\u8fc7\u7684\u6545\u969c\u65f6\uff0c\u5f80\u5f80\u7f3a\u4e4f\u903b\u8f91\u63a8\u7406\u80fd\u529b\u548c\u6cdb\u5316\u6027\uff0c\u5bfc\u81f4\u4eba\u5de5\u4ecb\u5165\u6210\u4e3a\u5fc5\u7136 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u7136\u800c\uff0c\u4eba\u5de5\u8c03\u67e5\u8fc7\u7a0b\u6781\u5176\u7e41\u91cd\u4e14\u8017\u65f6\uff0c\u7531\u4e8e\u5355\u6b21\u6545\u969c\u53ef\u80fd\u89e6\u53d1\u6210\u767e\u4e0a\u5343\u4e2a\u8bbe\u5907\u4ea7\u751fGB\u7ea7\u522b\u7684\u8b66\u62a5\u65e5\u5fd7\uff0c\u8fd0\u7ef4\u4eba\u5458\u5f80\u5f80\u5728\u65e0\u6cd5\u67e5\u9605\u5b8c\u6240\u6709\u65e5\u5fd7\u7684\u60c5\u51b5\u4e0b\u5c31\u9700\u8981\u505a\u51fa\u51b3\u7b56\uff0c\u8fd9\u79cd\u4fe1\u606f\u8fc7\u8f7d\u4e0e\u5904\u7406\u80fd\u529b\u9650\u5236\u4e4b\u95f4\u7684\u77db\u76fe\uff0c\u4f7f\u5f97\u6545\u969c\u5b9a\u4f4d\u6210\u4e3a\u4e86\u6574\u4e2a\u8fd0\u7ef4\u5de5\u4f5c\u6d41\u4e2d\u7684\u4e3b\u8981\u74f6\u9888 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-41\">\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u5174\u8d77\u4e3a\u89e3\u51b3\u8fd9\u4e00\u56f0\u5883\u5e26\u6765\u4e86\u66d9\u5149\u3002LLM\u5728\u6587\u672c\u7406\u89e3\u548c\u903b\u8f91\u63a8\u7406\u65b9\u9762\u5c55\u73b0\u51fa\u7684\u5353\u8d8a\u80fd\u529b\uff0c\u4f7f\u5176\u975e\u5e38\u9002\u5408\u5904\u7406\u76d1\u6d4b\u7cfb\u7edf\u751f\u6210\u7684\u6587\u672c\u5316\u8b66\u62a5\u4fe1\u606f <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u4e0e\u4eba\u7c7b\u76f8\u6bd4\uff0c\u6a21\u578b\u4e0d\u4f1a\u53d7\u5230\u75b2\u52b3\u6216\u538b\u529b\u7684\u5f71\u54cd\uff0c\u80fd\u591f\u9ad8\u6548\u3001\u4e00\u81f4\u5730\u9605\u8bfb\u548c\u5206\u6790\u5927\u89c4\u6a21\u6570\u636e <sup><\/sup>\u3002\u5728\u6b64\u80cc\u666f\u4e0b\uff0c\u8bba\u6587\u63d0\u51fa\u4e86\u540d\u4e3a <strong>BIAN<\/strong> \u7684\u6846\u67b6\uff0c\u65e8\u5728\u5c06LLM\u4f5c\u4e3a\u8fd0\u7ef4\u4eba\u5458\u7684\u201c\u667a\u80fd\u52a9\u624b\u201d\uff0c\u901a\u8fc7\u6df1\u5165\u7406\u89e3\u7f51\u7edc\u76d1\u6d4b\u65e5\u5fd7\u3001\u62d3\u6251\u7ed3\u6784\u548c\u65f6\u95f4\u7ebf\u6570\u636e\uff0c\u81ea\u52a8\u751f\u6210\u6545\u969c\u8bbe\u5907\u6392\u540d\u53ca\u8be6\u7ec6\u7684\u89e3\u91ca\u6027\u62a5\u544a\uff0c\u4ece\u800c\u663e\u8457\u63d0\u5347\u6545\u969c\u5b9a\u4f4d\u7684\u6548\u7387\u548c\u51c6\u786e\u6027 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002BIAN\u4e0d\u4ec5\u662f\u4e00\u4e2a\u7406\u8bba\u6a21\u578b\uff0c\u66f4\u662f\u4e00\u4e2a\u5df2\u5728\u963f\u91cc\u5df4\u5df4\u5168\u7403\u57fa\u7840\u8bbe\u65bd\u4e2d\u5b9e\u9645\u90e8\u7f72\u8d85\u8fc710\u4e2a\u6708\u7684\u5b9e\u7528\u7cfb\u7edf <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"564\" height=\"222\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/1.png\"  class=\"wp-image-1071\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/1.png 564w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/1-300x118.png 300w\" sizes=\"auto, (max-width: 564px) 100vw, 564px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\"><strong>2. \u6838\u5fc3\u67b6\u6784\u8bbe\u8ba1\uff1a\u5206\u5c42\u63a8\u7406\u4e0e\u591a\u7ef4\u6570\u636e\u96c6\u6210<\/strong><\/h3>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-42\">\u4e3a\u4e86\u5e94\u5bf9\u751f\u4ea7\u89c4\u6a21\u7f51\u7edc\u4e2d\u6570\u636e\u91cf\u5e9e\u5927\u4e14\u5173\u7cfb\u590d\u6742\u7684\u6311\u6218\uff0cBIAN\u91c7\u7528\u4e86\u7cbe\u5999\u7684<strong>\u5206\u5c42\u63a8\u7406\uff08Hierarchical Reasoning\uff09\u67b6\u6784\u3002\u7531\u4e8eLLM\u96be\u4ee5\u4e00\u6b21\u6027\u5904\u7406\u5e76\u63d0\u53d6\u6d77\u91cf\u539f\u59cb\u65e5\u5fd7\u4e2d\u7684\u5173\u952e\u4fe1\u606f\uff0cBIAN\u5c06\u5b9a\u4f4d\u4efb\u52a1\u5206\u89e3\u4e3a\u4e09\u4e2a\u6b65\u9aa4\uff1a\u9996\u5148\u662f\u8b66\u62a5\u6458\u8981<\/strong>\uff0c\u5c06\u5197\u957f\u7684\u76d1\u6d4b\u8b66\u62a5\u7b80\u5316\u4e3a\u6613\u4e8e\u7406\u89e3\u7684\u6458\u8981\u62a5\u544a\uff1b\u5176\u6b21\u662f<strong>\u8bbe\u5907\u7ea7\u5f02\u5e38\u5206\u6790<\/strong>\uff0c\u6309\u8bbe\u5907\u5bf9\u62a5\u544a\u8fdb\u884c\u5206\u7ec4\uff0c\u5e76\u9075\u5faa\u8fd0\u7ef4\u4eba\u5458\u591a\u5e74\u79ef\u7d2f\u7684\u6807\u51c6\u4f5c\u4e1a\u7a0b\u5e8f\uff08SOP\uff09\u8fdb\u884c\u6df1\u5165\u5206\u6790\uff1b\u6700\u540e\u662f<strong>\u6545\u969c\u8bc4\u5206<\/strong>\uff0c\u7efc\u5408\u6240\u6709\u5355\u8bbe\u5907\u7684\u5206\u6790\u7ed3\u679c\uff0c\u4e3a\u5019\u9009\u8bbe\u5907\u8ba1\u7b97\u5acc\u7591\u5206\u503c <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u8fd9\u79cd\u5206\u800c\u6cbb\u4e4b\u7684\u7b56\u7565\u4e0d\u4ec5\u964d\u4f4e\u4e86\u6a21\u578b\u7684\u8ba4\u77e5\u8d1f\u8377\uff0c\u8fd8\u4f7f\u5f97\u63a8\u7406\u8fc7\u7a0b\u5177\u6709\u6781\u9ad8\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u65b9\u4fbf\u8fd0\u7ef4\u4eba\u5458\u5feb\u901f\u6838\u5bf9\u6a21\u578b\u7ed9\u51fa\u7684\u4f9d\u636e <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-43\">\u6b64\u5916\uff0c\u4e3a\u4e86\u89e3\u51b3\u7f51\u7edc\u6545\u969c\u5728\u65f6\u7a7a\u7ef4\u5ea6\u4e0a\u7684\u590d\u6742\u6027\uff0cBIAN\u96c6\u6210\u4e86<strong>\u591a\u7ef4\u6570\u636e\u7ba1\u9053<\/strong>\u3002\u5728\u5927\u578b\u7f51\u7edc\u4e2d\uff0c\u5355\u4e00\u8bbe\u5907\u7684\u6545\u969c\u53ef\u80fd\u5f15\u53d1\u8fde\u9501\u53cd\u5e94\uff0c\u5bfc\u81f4\u903b\u8f91\u4e0a\u76f8\u8fd1\u7684\u4e00\u7cfb\u5217\u8bbe\u5907\u5728\u4e0d\u540c\u65f6\u95f4\u70b9\u62a5\u9519 <sup><\/sup>\u3002BIAN\u9664\u4e86\u5904\u7406\u539f\u59cb\u8b66\u62a5\u65e5\u5fd7\u5916\uff0c\u8fd8\u5f15\u5165\u4e86\u7f51\u7edc\u62d3\u6251\u7ed3\u6784\u548c\u4e8b\u4ef6\u65f6\u95f4\u7ebf\u4e24\u4e2a\u7ef4\u5ea6\u7684\u4fe1\u606f <sup><\/sup>\u3002\u901a\u8fc7\u6574\u5408\u8fd9\u4e09\u6761\u7ba1\u9053\u7684\u6570\u636e\uff0cBIAN\u80fd\u591f\u6267\u884c\u66f4\u5168\u9762\u7684\u63a8\u7406\uff1a\u5b83\u4e0d\u4ec5\u5173\u6ce8\u67d0\u4e2a\u8bbe\u5907\u662f\u5426\u62a5\u9519\uff0c\u8fd8\u5206\u6790\u62a5\u9519\u7684\u65f6\u5e8f\u5173\u7cfb\u4ee5\u53ca\u6545\u969c\u5728\u62d3\u6251\u4e0a\u7684\u4f20\u64ad\u8def\u5f84 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u4f8b\u5982\uff0c\u5f53\u591a\u4e2a\u8bbe\u5907\u540c\u65f6\u62a5\u8b66\u65f6\uff0cBIAN\u80fd\u901a\u8fc7\u62d3\u6251\u4fe1\u606f\u8bc6\u522b\u51fa\u8c01\u5904\u4e8e\u6d41\u91cf\u7684\u5173\u952e\u4e0a\u6e38\uff0c\u4ece\u800c\u7cbe\u51c6\u9501\u5b9a\u771f\u6b63\u7684\u6545\u969c\u6e90\uff0c\u8fd9\u79cd\u591a\u7ef4\u96c6\u6210\u663e\u8457\u63d0\u5347\u4e86\u7cfb\u7edf\u5904\u7406\u590d\u6742\u5173\u8054\u6545\u969c\u7684\u80fd\u529b <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"485\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/2-1024x485.png\"  class=\"wp-image-1072\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/2-1024x485.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/2-300x142.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/2-768x363.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/2.png 1173w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe1\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe1\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. \u7cfb\u7edf\u7684\u6301\u7eed\u8fdb\u5316\uff1a\u77e5\u8bc6\u81ea\u52a8\u66f4\u65b0\u4e0e\u6027\u80fd\u4f18\u5316<\/strong><\/h3>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-44\">\u7f51\u7edc\u57fa\u7840\u8bbe\u65bd\u53ca\u5176\u914d\u7f6e\u59cb\u7ec8\u5904\u4e8e\u5feb\u901f\u6f14\u53d8\u4e2d\uff0c\u8fd9\u610f\u5473\u7740\u56fa\u5b9a\u7684\u63a8\u7406\u903b\u8f91\u4f1a\u8fc5\u901f\u5931\u6548\u3002BIAN\u8bbe\u8ba1\u4e86\u4e00\u5957\u521b\u65b0\u7684**\u6301\u7eed\u63d0\u793a\u8bcd\u66f4\u65b0\uff08Continuous Prompt Updating\uff09**\u673a\u5236\uff0c\u4f7f\u5176\u80fd\u591f\u50cf\u4eba\u7c7b\u8fd0\u7ef4\u4eba\u5458\u4e00\u6837\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u8be5\u673a\u5236\u5e76\u4e0d\u6539\u53d8\u6a21\u578b\u53c2\u6570\uff0c\u800c\u662f\u5229\u7528LLM\u81ea\u8eab\u7684\u751f\u6210\u3001\u53cd\u601d\u548c\u603b\u7ed3\u80fd\u529b\uff0c\u81ea\u52a8\u4ece\u5386\u53f2\u6545\u969c\u6848\u4f8b\u4e2d\u63d0\u53d6\u65b0\u7684\u77e5\u8bc6 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u5177\u4f53\u800c\u8a00\uff0c\u7cfb\u7edf\u4f1a\u5bf9\u6bd4\u6b63\u786e\u548c\u9519\u8bef\u7684\u63a8\u7406\u5c1d\u8bd5\uff0c\u8bc6\u522b\u51fa\u5f71\u54cd\u7ed3\u679c\u7684\u5173\u952e\u56e0\u7d20\uff0c\u5e76\u5c06\u8fd9\u4e9b\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u7ecf\u9a8c\u6574\u5408\u8fdb\u4efb\u52a1\u63d0\u793a\u8bcd\uff08Prompts\uff09\u4e2d <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u8fd9\u79cd\u201c\u8bad\u7ec3\u63d0\u793a\u8bcd\u800c\u975e\u8bad\u7ec3\u53c2\u6570\u201d\u7684\u65b9\u6cd5\uff0c\u65e2\u4fdd\u8bc1\u4e86\u7cfb\u7edf\u7684\u654f\u6377\u6027\uff0c\u53c8\u907f\u514d\u4e86\u5927\u89c4\u6a21\u5fae\u8c03\u6a21\u578b\u5e26\u6765\u7684\u6602\u8d35\u8ba1\u7b97\u5f00\u9500\u548c\u9ed1\u76d2\u5316\u95ee\u9898 <sup><\/sup>\u3002<\/p>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-45\">\u5728\u5b9e\u9645\u751f\u4ea7\u90e8\u7f72\u4e2d\uff0c\u6548\u7387\u548c\u8d44\u6e90\u6d88\u8017\u662f\u5fc5\u987b\u8003\u8651\u7684\u56e0\u7d20\u3002\u4e3a\u6b64\uff0cBIAN\u5b9e\u65bd\u4e86\u591a\u9879\u7cfb\u7edf\u7ea7\u4f18\u5316\u65b9\u6848\u3002\u9996\u5148\uff0c\u5b83\u4f7f\u7528\u4e86\u7ecf\u8fc7<strong>\u9886\u57df\u77e5\u8bc6\u5fae\u8c03\u7684\u5c0f\u89c4\u6a21LLM<\/strong>\u6765\u5904\u7406\u7b80\u5355\u7684\u6458\u8981\u548c\u5355\u8bbe\u5907\u5206\u6790\u4efb\u52a1\uff0c\u5728\u4fdd\u8bc1\u7cbe\u5ea6\u7684\u540c\u65f6\u5927\u5e45\u964d\u4f4e\u4e86\u63a8\u7406\u5ef6\u8fdf <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u5176\u6b21\uff0c\u5f15\u5165\u4e86<strong>\u65e9\u505c\u673a\u5236\uff08Early Stop\uff09<\/strong>\uff1a\u5982\u679c\u7b2c\u4e00\u9636\u6bb5\u7684\u5206\u6790\u7ed3\u679c\u5df2\u7ecf\u5c55\u73b0\u51fa\u6781\u9ad8\u7684\u7f6e\u4fe1\u5ea6\uff0c\u7cfb\u7edf\u5c06\u63d0\u524d\u7ed3\u675f\u540e\u7eed\u590d\u6742\u63a8\u7406\uff0c\u4ee5\u8282\u7701\u8d44\u6e90 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u6b64\u5916\uff0c\u4e3a\u4e86\u5bf9\u6297LLM\u8f93\u51fa\u7684\u968f\u673a\u6027\uff0cBIAN\u91c7\u7528\u4e86**\u201c\u6392\u540d\u4e4b\u6392\u540d\u201d\uff08Rank of Ranks\uff09**\u6280\u672f\uff0c\u901a\u8fc7\u591a\u6b21\u91cd\u590d\u8fd0\u884c\u63a8\u7406\u5e76\u8ba1\u7b97\u5e73\u5747\u6392\u540d\uff0c\u5e73\u6ed1\u6389\u5076\u53d1\u7684\u903b\u8f91\u504f\u5dee\uff0c\u786e\u4fdd\u8f93\u51fa\u7ed3\u679c\u7684\u7a33\u5b9a\u6027\u548c\u53ef\u9760\u6027 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"324\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/3-1024x324.png\"  class=\"wp-image-1073\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/3-1024x324.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/3-300x95.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/3-768x243.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/3.png 1176w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe2\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe2\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. \u5b9e\u9a8c\u8bc4\u4f30\u4e0e\u5b9e\u6218<\/strong><\/h3>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-46\">\u8bba\u6587\u901a\u8fc7\u5bf9\u957f\u8fbe17\u4e2a\u6708\u7684\u5386\u53f2\u771f\u5b9e\u6848\u4f8b\u8fdb\u884c\u79bb\u7ebf\u8bc4\u4f30\uff0c\u5e76\u7ed3\u5408\u5728\u963f\u91cc\u5df4\u5df4\u4e91\u7684\u5b9e\u9645\u8fd0\u884c\u6570\u636e\uff0c\u5168\u9762\u9a8c\u8bc1\u4e86BIAN\u7684\u5353\u8d8a\u6027\u80fd\u3002\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0cBIAN\u5728\u6545\u969c\u5b9a\u4f4d\u7684\u51c6\u786e\u7387\u4e0a\u6bd4\u4f20\u7edf\u57fa\u51c6\u65b9\u6cd5\u63d0\u9ad8\u4e86<strong>9.2%<\/strong> <sup><\/sup>\u3002\u5728\u5904\u7406\u901f\u5ea6\u65b9\u9762\uff0c\u6574\u4e2a\u63a8\u7406\u8fc7\u7a0b\u901a\u5e38\u5728<strong>30\u79d2\u5185<\/strong>\u5373\u53ef\u5b8c\u6210 <sup><\/sup>\u3002\u8fd9\u610f\u5473\u7740\u5728\u8fd0\u7ef4\u4eba\u5458\u6536\u5230\u8b66\u62a5\u5e76\u767b\u5f55\u7cfb\u7edf\u7684\u4e00\u5206\u949f\u5185\uff0cBIAN\u7684\u8be6\u7ec6\u5206\u6790\u62a5\u544a\u5c31\u5df2\u7ecf\u51c6\u5907\u5c31\u7eea\uff0c\u5b9e\u73b0\u4e86\u771f\u6b63\u7684\u201c\u5373\u65f6\u8f85\u52a9\u201d <sup><\/sup>\u3002\u901a\u8fc7A\/B\u6d4b\u8bd5\u53d1\u73b0\uff0cBIAN\u4f7f\u6545\u969c\u5b9a\u4f4d\u7684\u5e73\u5747\u65f6\u95f4\uff08TTR\uff09\u7f29\u77ed\u4e86<strong>20.5%<\/strong>\uff0c\u800c\u5bf9\u4e8e\u5f71\u54cd\u91cd\u5927\u7684\u9ad8\u98ce\u9669\u4e8b\u4ef6\uff0c\u6548\u7387\u63d0\u5347\u66f4\u662f\u9ad8\u8fbe<strong>55.2%<\/strong> <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n\n<p id=\"p-rc_fa7ca57d6c68296f-47\">\u9664\u4e86\u786c\u6027\u7684\u6307\u6807\u63d0\u5347\uff0cBIAN\u5728\u771f\u5b9e\u751f\u4ea7\u73af\u5883\u4e2d\u7684\u7528\u6237\u4f53\u9a8c\u4e5f\u5f97\u5230\u4e86\u9ad8\u5ea6\u8bc4\u4ef7\u3002\u65b0\u5165\u804c\u7684\u8fd0\u7ef4\u4eba\u5458\u53cd\u9988\uff0cBIAN\u63d0\u4f9b\u7684\u5e26\u6709\u8be6\u7ec6\u4f9d\u636e\u7684\u8bbe\u5907\u6392\u540d\u6781\u5927\u964d\u4f4e\u4e86\u4ed6\u4eec\u7684\u4e0a\u624b\u96be\u5ea6\uff0c\u4f7f\u5176\u53ea\u9700\u6700\u5c11\u7684\u57f9\u8bad\u5373\u53ef\u5f00\u5c55\u5de5\u4f5c <sup><\/sup>\u3002\u8d44\u6df1\u8fd0\u7ef4\u4eba\u5458\u5219\u8ba4\u4e3a\uff0cBIAN\u751f\u6210\u7684\u89e3\u91ca\u6027\u62a5\u544a\u80fd\u591f\u5e2e\u52a9\u4ed6\u4eec\u5feb\u901f\u9a8c\u8bc1\u76f4\u89c9\uff0c\u5c24\u5176\u662f\u5728\u591a\u8bbe\u5907\u5e76\u53d1\u8b66\u62a5\u7684\u6df7\u4e71\u573a\u666f\u4e0b\uff0cBIAN\u80fd\u6709\u6548\u5730\u534f\u52a9\u4ed6\u4eec\u62e8\u5f00\u4e91\u96fe\u9501\u5b9a\u771f\u51f6 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002\u5c3d\u7ba1BIAN\u76ee\u524d\u5728\u5904\u7406\u7f55\u89c1\u7684\u591a\u8bbe\u5907\u5171\u540c\u6545\u969c\u53ca\u94fe\u8def\u76f8\u5173\u6545\u969c\u65b9\u9762\u4ecd\u6709\u5c40\u9650\u6027\uff0c\u4f46\u5176\u4f5c\u4e3a\u751f\u4ea7\u7ea7LLM\u8fd0\u7ef4\u7cfb\u7edf\u7684\u6210\u529f\u5b9e\u8df5\uff0c\u4e3aAIOps\u9886\u57df\u8fc8\u5411\u66f4\u9ad8\u9636\u6bb5\u7684\u667a\u80fd\u5316\u63d0\u4f9b\u4e86\u6781\u5177\u4ef7\u503c\u7684\u8303\u672c <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"555\" height=\"279\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/4.png\"  class=\"wp-image-1074\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/4.png 555w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/4-300x151.png 300w\" sizes=\"auto, (max-width: 555px) 100vw, 555px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe3\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe3\" \/><\/figure>\n<\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"441\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/6-1024x441.png\"  class=\"wp-image-1075\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/6-1024x441.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/6-300x129.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/6-768x331.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/6.png 1146w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe4\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe4\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"240\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/7-1024x240.png\"  class=\"wp-image-1076\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/7-1024x240.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/7-300x70.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/7-768x180.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/03\/7.png 1163w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe5\" alt=\"Towards LLM-Based Failure Localization in Production-Scale Networks\u63d2\u56fe5\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. \u603b\u7ed3\u4e0e\u542f\u793a<\/strong><\/h3>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cBIAN \u7684\u6210\u529f\u7814\u5236\u4e0e\u90e8\u7f72\u4e0d\u4ec5\u662f\u963f\u91cc\u5df4\u5df4\u5728 AIOps \u9886\u57df\u7684\u4e00\u6b21\u91cd\u5927\u6280\u672f\u7a81\u7834\uff0c\u66f4\u662f\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4ece\u201c\u901a\u7528\u5bf9\u8bdd\u5de5\u5177\u201d\u5411\u201c\u5782\u76f4\u884c\u4e1a\u4e13\u5bb6\u201d\u8f6c\u5316\u7684\u6210\u529f\u5178\u8303\u3002\u8bba\u6587\u901a\u8fc7\u8be6\u5b9e\u7684\u751f\u4ea7\u73af\u5883\u6570\u636e\u8bc1\u660e\uff0cLLM \u5e76\u4e0d\u53ea\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4fe1\u606f\u68c0\u7d22\u5668\uff0c\u901a\u8fc7\u5408\u7406\u7684\u5206\u5c42\u67b6\u6784\u8bbe\u8ba1\uff08\u5206\u5c42\u63a8\u7406\u3001\u591a\u7ef4\u6570\u636e\u96c6\u6210\u3001\u6301\u7eed\u77e5\u8bc6\u66f4\u65b0\uff09\uff0c\u5b83\u80fd\u591f\u50cf\u8d44\u6df1\u8fd0\u7ef4\u4e13\u5bb6\u4e00\u6837\uff0c\u5728\u590d\u6742\u7684\u7f51\u7edc\u62d3\u6251\u548c\u6d77\u91cf\u7684\u8b66\u62a5\u6570\u636e\u4e2d\u62bd\u4e1d\u5265\u8327\uff0c\u7cbe\u51c6\u9501\u5b9a\u6545\u969c\u6839\u56e0\u3002BIAN \u7684\u51fa\u73b0\uff0c\u6709\u6548\u5730\u89e3\u51b3\u4e86\u4f20\u7edf\u81ea\u52a8\u5316\u5de5\u5177\u5728\u5904\u7406\u590d\u6742\u3001\u957f\u5c3e\u6545\u969c\u65f6\u8868\u73b0\u75b2\u8f6f\u7684\u75db\u70b9\uff0c\u5c06\u539f\u672c\u9ad8\u5ea6\u4f9d\u8d56\u4eba\u5de5\u7ecf\u9a8c\u7684\u6392\u969c\u8fc7\u7a0b\u8f6c\u5316\u4e3a\u4e00\u79cd\u53ef\u6269\u5c55\u3001\u53ef\u89e3\u91ca\u4e14\u6301\u7eed\u8fdb\u5316\u7684\u673a\u5668\u667a\u80fd\u6d41\u7a0b\u3002<\/p>\n\n\n\n<p>\u5c55\u671b\u672a\u6765\uff0cBIAN \u6240\u4ee3\u8868\u7684\u201cLLM-Agent \u9a71\u52a8\u8fd0\u7ef4\u201d\u6a21\u5f0f\uff0c\u4e3a\u5b9e\u73b0\u771f\u6b63\u610f\u4e49\u4e0a\u7684\u201c\u81ea\u6108\u7f51\u7edc\uff08Self-healing Networks\uff09\u201d\u5960\u5b9a\u4e86\u575a\u5b9e\u57fa\u7840\u3002\u867d\u7136\u76ee\u524d\u8be5\u7cfb\u7edf\u5728\u5904\u7406\u591a\u8bbe\u5907\u5e76\u53d1\u6545\u969c\u548c\u94fe\u8def\u7ea7\u95ee\u9898\u4e0a\u4ecd\u6709\u63d0\u5347\u7a7a\u95f4\uff0c\u4f46\u5b83\u5df2\u7ecf\u5f00\u542f\u4e86\u4e00\u4e2a\u5168\u65b0\u7684\u8303\u5f0f\uff1a\u5373\u901a\u8fc7\u5c0f\u89c4\u6a21\u6a21\u578b\u6267\u884c\u9ad8\u9891\u3001\u57fa\u7840\u7684\u5206\u6790\u4efb\u52a1\uff0c\u8f85\u4ee5\u95ed\u73af\u7684\u77e5\u8bc6\u66f4\u65b0\u673a\u5236\uff0c\u6784\u5efa\u8d77\u4e00\u5957\u80fd\u591f\u81ea\u6211\u8fed\u4ee3\u7684\u667a\u80fd\u8fd0\u7ef4\u5927\u8111\u3002\u8fd9\u4e0d\u4ec5\u6781\u5927\u5730\u91ca\u653e\u4e86\u4eba\u529b\u8d44\u6e90\uff0c\u964d\u4f4e\u4e86\u5927\u89c4\u6a21\u4e91\u57fa\u7840\u8bbe\u65bd\u7684\u7ef4\u62a4\u6210\u672c\uff0c\u4e5f\u4e3a\u5176\u4ed6\u9ad8\u53ef\u9760\u6027\u8981\u6c42\u7684\u5de5\u4e1a\u7cfb\u7edf\uff08\u5982\u667a\u80fd\u5236\u9020\u3001\u80fd\u6e90\u7ba1\u7406\u7b49\uff09\u63d0\u4f9b\u4e86\u6781\u5177\u53c2\u8003\u4ef7\u503c\u7684\u667a\u80fd\u5316\u8f6c\u578b\u8def\u5f84\u3002BIAN \u7684\u5b9e\u8df5\u544a\u8bc9\u6211\u4eec\uff0c\u5f53\u9886\u57df\u4e13\u4e1a\u77e5\u8bc6\u4e0e\u5927\u6a21\u578b\u7684\u901a\u7528\u63a8\u7406\u80fd\u529b\u6df1\u5ea6\u878d\u5408\u65f6\uff0c\u5de5\u4e1a\u751f\u4ea7\u7684\u6548\u7387\u5c06\u8fce\u6765\u8d28\u7684\u98de\u8dc3\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SIGCOMM &#8217;25: ACM SIGCOMM 2025 Conference September 8 &#8211; 11, 2025 Coimbra, Portugal 1. \u6458\u8981\u4e0e\u7814\u7a76\u80cc\u666f\uff1a\u4e91\u7f51\u7edc\u8fd0\u7ef4\u7684\u74f6\u9888\u4e0e\u5927\u6a21\u578b\u7684\u673a\u9047 \u5728\u73b0\u4ee3\u8d85\u5927\u89c4\u6a21\u516c\u6709\u4e91\u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u5982\u963f\u91cc\u5df4\u5df4\u4e91\uff0c\u7ef4\u62a4\u7f51\u7edc\u7684\u9ad8\u53ef\u7528\u6027\u662f\u81f3\u5173\u91cd\u8981\u4e14\u6781\u5177\u6311\u6218\u7684\u4efb\u52a1\u3002\u6bcf\u5f53\u7f51\u7edc\u53d1\u751f\u6545\u969c\uff08\u5373\u201c\u4e8b\u4ef6\u201d\uff09\u65f6\uff0c\u8fd0\u7ef4\u4eba\u5458\uff08Operators\uff09\u5fc5\u987b\u5728\u6781\u77ed\u7684\u65f6\u95f4\u5185\u4ece\u6d77\u91cf\u7684\u76d1\u6d4b\u6570\u636e\u4e2d\u8bc6\u522b\u51fa\u6839\u56e0\u8bbe\u5907\uff08Error Device\uff09\u3002\u4f20 &hellip; <a href=\"https:\/\/www.ndnlab.com\/?p=1070\">\u7ee7\u7eed\u9605\u8bfb <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":1077,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,5],"tags":[13],"class_list":["post-1070","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-17","category-rengongzhineng","tag-13"],"_links":{"self":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/1070","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1070"}],"version-history":[{"count":1,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/1070\/revisions"}],"predecessor-version":[{"id":1078,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/1070\/revisions\/1078"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/media\/1077"}],"wp:attachment":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}