{"id":897,"date":"2026-01-20T15:20:21","date_gmt":"2026-01-20T07:20:21","guid":{"rendered":"https:\/\/www.ndnlab.com\/?p=897"},"modified":"2026-01-27T10:02:06","modified_gmt":"2026-01-27T02:02:06","slug":"cclinguist-an-expert-free-framework-for-future-compatible-congestion-control-algorithm-identification","status":"publish","type":"post","link":"https:\/\/www.ndnlab.com\/?p=897","title":{"rendered":"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification"},"content":{"rendered":"\n<p>SIGCOMM &#8217;25: ACM SIGCOMM 2025 Conference <em>September 8 &#8211; 11, 2025<\/em><\/p>\n\n\n\n<p><em>Coimbra, Portugal<\/em> <strong>Conference Sponsors:<\/strong> SIGCOMM<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u7814\u7a76\u80cc\u666f\u4e0e\u52a8\u673a<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">\uff081\uff09 \u62e5\u585e\u63a7\u5236\u7b97\u6cd5 (CCA) 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Nebby\uff09\u7684\u5c40\u9650\u6027<\/h4>\n\n\n\n<p>\u73b0\u6709\u7684 CCA \u8bc6\u522b\u5de5\u5177\u5927\u591a\u5c5e\u4e8e\u201c\u4e13\u5bb6\u7cfb\u7edf\u201d\u8303\u7574\uff0c\u5176\u6838\u5fc3\u903b\u8f91\u4f9d\u8d56\u4e8e\u4eba\u5de5\u63d0\u53d6\u7279\u5f81\u3002\u4e13\u5bb6\u4eec\u9700\u8981\u89c2\u5bdf\u4e0d\u540c\u7b97\u6cd5\u5728\u7279\u5b9a\u7f51\u7edc\u4e0b\u7684\u8868\u73b0\uff0c\u624b\u52a8\u7f16\u5199\u5224\u5b9a\u89c4\u5219\u6216\u6784\u5efa\u201c\u7279\u5f81\u5e93\uff08Profiles\uff09\u201d\u3002\u8fd9\u79cd\u6a21\u5f0f\u5728\u7b97\u6cd5\u7a00\u5c11\u7684\u5e74\u4ee3\u53ef\u884c\uff0c\u4f46\u5728\u5f53\u524d\u73af\u5883\u4e0b\u5f0a\u7aef\u51f8\u663e\uff1a<\/p>\n\n\n\n<ul 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(D-profile)<\/h4>\n\n\n\n<p>\u8bc6\u522b\u7b97\u6cd5\u7684\u524d\u63d0\u662f\u8ba9\u7b97\u6cd5\u5728\u4e0d\u540c\u7684\u201c\u538b\u529b\u6d4b\u8bd5\u201d\u4e0b\u8868\u73b0\u51fa\u5dee\u5f02\u3002\u7136\u800c\uff0c\u627e\u5230\u8fd9\u79cd\u80fd\u8ba9\u7b97\u6cd5\u201c\u73b0\u539f\u5f62\u201d\u7684\u7f51\u7edc\u914d\u7f6e\uff08\u5373\u5224\u522b\u914d\u7f6e\uff0cD-profile\uff09\u6781\u5177\u6311\u6218\u6027\u3002<\/p>\n\n\n\n<p>\u968f\u7740\u7b97\u6cd5\u6570\u91cf\u7684\u589e\u52a0\uff0c\u5355\u4e00\u7684\u914d\u7f6e\uff08\u5982\u8bbe\u5b9a\u56fa\u5b9a\u7684 50ms \u5ef6\u8fdf\uff09\u5f80\u5f80\u65e0\u6cd5\u533a\u5206\u6240\u6709\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u7b97\u6cd5 A \u548c B \u5728\u9ad8\u5e26\u5bbd\u4e0b\u8868\u73b0\u4e00\u81f4\uff0c\u5728\u4f4e\u5e26\u5bbd\u4e0b\u624d\u663e\u73b0\u5dee\u5f02\uff1b\u800c\u7b97\u6cd5 B \u548c C 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\u4e0e\u672a\u77e5\u7b97\u6cd5\u5904\u7406<\/h4>\n\n\n\n<p>\u5728\u771f\u5b9e\u7684\u4e92\u8054\u7f51\u73af\u5883\u4e2d\uff0c\u6211\u4eec\u9762\u5bf9\u7684\u662f\u4e00\u4e2a\u201c\u52a8\u6001\u3001\u672a\u77e5\u201d\u7684\u7b97\u6cd5\u96c6\u3002\u4f20\u7edf\u7684\u5206\u7c7b\u6a21\u578b\uff08\u5982\u7b80\u5355\u7684\u591a\u5206\u7c7b\u795e\u7ecf\u7f51\u7edc\uff09\u5c5e\u4e8e\u201c\u95ed\u96c6\u8bc6\u522b\u201d\uff0c\u5b83\u4eec\u9ed8\u8ba4\u8f93\u5165\u7684\u6d41\u91cf\u4e00\u5b9a\u5c5e\u4e8e\u5df2\u77e5\u7684\u67d0\u51e0\u7c7b\u7b97\u6cd5\u3002\u5f53\u4e00\u4e2a\u4ece\u672a\u89c1\u8fc7\u7684\u3001\u65b0\u578b\u6216\u53d8\u4f53\u7b97\u6cd5\u51fa\u73b0\u65f6\uff0c\u95ed\u96c6\u5206\u7c7b\u5668\u4f1a\u5f3a\u884c\u5c06\u5176\u5f52\u7c7b\u4e3a\u67d0\u4e2a\u6700\u50cf\u7684\u5df2\u77e5\u7b97\u6cd5\uff0c\u4ece\u800c\u4ea7\u751f\u4e25\u91cd\u7684\u8bef\u5bfc\u3002<\/p>\n\n\n\n<p>\u6838\u5fc3\u6311\u6218\u5728\u4e8e\u5982\u4f55\u8d4b\u4e88\u7cfb\u7edf\u201c\u77e5\u4e4b\u4e3a\u77e5\u4e4b\uff0c\u4e0d\u77e5\u4e3a\u4e0d\u77e5\u201d\u7684\u80fd\u529b\u3002\u7cfb\u7edf\u4e0d\u4ec5\u8981\u5b66\u4e60\u5df2\u77e5\u7b97\u6cd5\u7684\u7279\u5f81\uff0c\u8fd8\u8981\u5b66\u4e60\u5df2\u77e5\u7279\u5f81\u7684\u8fb9\u754c\u3002\u5f53\u6d41\u91cf\u7279\u5f81\u843d\u5728\u6240\u6709\u5df2\u77e5\u8fb9\u754c\u4e4b\u5916\u65f6\uff0c\u7cfb\u7edf\u5fc5\u987b\u80fd\u51c6\u786e\u5730\u62a5\u544a\u201c\u8fd9\u662f\u4e00\u4e2a\u672a\u77e5\u7b97\u6cd5\u201d\u3002\u66f4\u8fdb\u4e00\u6b65\uff0c\u7cfb\u7edf\u8fd8\u9700\u5177\u5907\u81ea\u6f14\u5316\u80fd\u529b\uff1a\u5982\u4f55\u5c06\u8fd9\u4e9b\u65b0\u53d1\u73b0\u7684\u201c\u672a\u77e5\u6d41\u91cf\u201d\u8fdb\u884c\u805a\u7c7b\uff0c\u5e76\u81ea\u52a8\u8d4b\u4e88\u5b83\u4eec\u5f31\u6807\u7b7e\uff0c\u4ece\u800c\u5728\u4e0d\u7ecf\u8fc7\u4eba\u5de5\u6807\u6ce8\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u6a21\u578b\u7684\u81ea\u6211\u8fed\u4ee3\u4e0e\u5347\u7ea7\uff0c\u5b9e\u73b0\u201c\u672a\u6765\u517c\u5bb9\u201d\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\uff083\uff09\u7279\u5f81\u63d0\u53d6\u7684\u6297\u5e72\u6270\u6027\u4e0e\u901a\u7528\u6027<\/h4>\n\n\n\n<p>\u7f51\u7edc\u5728\u4f20\u8f93\u8fc7\u7a0b\u4e2d\u4f1a\u5f15\u5165\u5927\u91cf\u7684\u201c\u566a\u58f0\u201d\uff0c\u5982\u968f\u673a\u4e22\u5305\u3001\u6296\u52a8\uff08Jitter\uff09\u4ee5\u53ca\u7531\u4e8e\u591a\u8def\u5f84\u8def\u7531\u5bfc\u81f4\u7684\u4e71\u5e8f\u3002\u6b64\u5916\uff0c\u4e0d\u540c\u7684\u5e94\u7528\u5c42\u884c\u4e3a\uff08\u5982\u4e0d\u540c\u5927\u5c0f\u7684\u6587\u4ef6\u4f20\u8f93\uff09\u4e5f\u4f1a\u626d\u66f2 CCA \u7684\u539f\u751f\u8868\u73b0\u3002 \u5982\u4f55\u5728\u5608\u6742\u7684\u539f\u59cb\u6570\u636e\uff08\u5982 ACK \u95f4\u9694\u3001\u53d1\u9001\u901f\u7387\u53d8\u5316\u7b49\uff09\u4e2d\u63d0\u53d6\u51fa\u80fd\u591f\u4ee3\u8868\u7b97\u6cd5\u672c\u8d28\u903b\u8f91\u7684\u201c\u6307\u7eb9\uff08CCprints\uff09\u201d\uff0c\u662f\u53e6\u4e00\u4e2a\u6280\u672f\u5821\u5792\u3002\u5982\u679c\u7279\u5f81\u63d0\u53d6\u8fc7\u4e8e\u7b80\u5355\uff0c\u5219\u5bb9\u6613\u88ab\u7f51\u7edc\u6ce2\u52a8\u5e72\u6270\uff1b\u5982\u679c\u8fc7\u4e8e\u590d\u6742\uff0c\u5219\u4f1a\u5bfc\u81f4\u8ba1\u7b97\u5f00\u9500\u8fc7\u5927\uff0c\u65e0\u6cd5\u8fdb\u884c\u5b9e\u65f6\u666e\u67e5\u3002CClinguist \u9700\u8981\u8bbe\u8ba1\u4e00\u79cd\u9ad8\u5ea6\u9c81\u68d2\u7684\u7279\u5f81\u7f16\u7801\u5668\uff08\u5982\u5229\u7528 Transformer \u6355\u83b7\u957f\u8ddd\u79bb\u5e8f\u5217\u7279\u5f81\uff09\uff0c\u80fd\u591f\u8de8\u8d8a\u4e0d\u540c\u7684\u7f51\u7edc\u73af\u5883\uff0c\u9501\u5b9a\u7b97\u6cd5\u5185\u6838\u7684\u52a8\u529b\u5b66\u7279\u5f81\uff0c\u800c\u4e0d\u88ab\u8868\u9762\u7684\u7f51\u7edc\u6bdb\u523a\u6240\u5e72\u6270\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. CClinguist \u7cfb\u7edf\u67b6\u6784<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">\uff081\uff09D-profile Tree (\u5224\u522b\u914d\u7f6e\u6811)\uff1a\u591a\u7ef4\u5ea6\u7684\u201c\u5206\u9009\u6f0f\u6597\u201d<\/h4>\n\n\n\n<p>\u5728 CClinguist \u4e2d\uff0cD-profile Tree \u6539\u53d8\u4e86\u4f20\u7edf\u5355\u4e00\u7ef4\u5ea6\u63a2\u6d4b\u7684\u6a21\u5f0f\u3002\u5b83\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u51b3\u7b56\u5e8f\u5217\uff0c\u6811\u7684\u6bcf\u4e2a\u8282\u70b9\u4ee3\u8868\u4e00\u79cd\u7279\u5b9a\u7684\u7f51\u7edc\u914d\u7f6e\uff08\u5982\uff1a\u5e26\u5bbd=5Mbps\uff0c\u5ef6\u8fdf=40ms\uff09\u3002\u5f53\u88ab\u6d4b\u6d41\u91cf\u8fdb\u5165\u6811\u6839\u540e\uff0c\u7cfb\u7edf\u4f1a\u89c2\u5bdf\u5176\u5728\u8be5\u914d\u7f6e\u4e0b\u7684\u8868\u73b0\uff08CCprints\uff09\u3002<\/p>\n\n\n\n<p><strong>\u6df1\u5ea6\u89e3\u6790<\/strong>\uff1a\u8fd9\u79cd\u6811\u72b6\u67b6\u6784\u7684\u7cbe\u5999\u4e4b\u5904\u5728\u4e8e\u5b83\u5b9e\u73b0\u4e86\u201c\u5206\u800c\u6cbb\u4e4b\u201d\u3002\u4e0d\u540c\u7684 CCA \u53ef\u80fd\u5728\u67d0\u4e9b\u914d\u7f6e\u4e0b\u8868\u73b0\u6781\u5176\u76f8\u4f3c\uff08\u4f8b\u5982 BBR \u548c BBR-v2 \u5728\u56fa\u5b9a\u5e26\u5bbd\u4e0b\u53ef\u80fd\u96be\u4ee5\u533a\u5206\uff09\uff0c\u4f46\u5728\u53e6\u4e00\u79cd\u914d\u7f6e\uff08\u5982\u5f15\u5165\u7279\u5b9a\u7684\u968f\u673a\u4e22\u5305\u7387\uff09\u4e0b\u5219\u4f1a\u5c55\u73b0\u51fa\u622a\u7136\u4e0d\u540c\u7684\u884c\u4e3a\u7279\u5f81\u3002\u901a\u8fc7\u591a\u7ea7\u914d\u7f6e\u5207\u6362\uff0c\u7cfb\u7edf\u50cf\u73a9\u201c\u731c\u731c\u770b\u201d\u6e38\u620f\u4e00\u6837\uff0c\u901a\u8fc7\u6bcf\u4e00\u5c42\u7684\u63a2\u6d4b\u7ed3\u679c\u4e0d\u65ad\u7f29\u5c0f\u5019\u9009\u7b97\u6cd5\u7684\u8303\u56f4\u3002\u8fd9\u89e3\u51b3\u4e86\u201c\u7279\u5f81\u51b2\u7a81\u201d\u95ee\u9898\uff0c\u5373\u5355\u4e00\u914d\u7f6e\u65e0\u6cd5\u63d0\u4f9b\u8db3\u591f\u7684\u5224\u522b\u529b\u6765\u533a\u5206\u6570\u5341\u79cd\u7b97\u6cd5\u7684\u74f6\u9888\u3002\u540c\u65f6\uff0c\u6811\u72b6\u7ed3\u6784\u5141\u8bb8\u7cfb\u7edf\u6839\u636e\u5f53\u524d\u7684\u521d\u6b65\u5224\u5b9a\u7ed3\u679c\uff0c\u52a8\u6001\u9009\u62e9\u4e0b\u4e00\u4e2a\u6700\u6709\u5224\u522b\u529b\u7684\u914d\u7f6e\uff0c\u4ece\u800c\u6781\u5927\u5730\u51cf\u5c11\u4e86\u63a2\u6d4b\u7684\u603b\u65f6\u95f4\u5f00\u9500\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"603\" height=\"462\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/2-1.png\"  class=\"wp-image-899\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/2-1.png 603w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/2-1-300x230.png 300w\" sizes=\"auto, (max-width: 603px) 100vw, 603px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe\" \/><\/figure>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\">2. RL-based Generator (\u5f3a\u5316\u5b66\u4e60\u751f\u6210\u5668)\uff1a\u81ea\u52a8\u5316\u7684\u201c\u5b9e\u9a8c\u4e13\u5bb6\u201d<\/h4>\n\n\n\n<p>\u4e3a\u4e86\u5728\u6d77\u91cf\u7684\u7f51\u7edc\u53c2\u6570\u7a7a\u95f4\u4e2d\u627e\u5230\u90a3\u68f5\u80fd\u6700\u9ad8\u6548\u533a\u5206\u7b97\u6cd5\u7684\u201c\u6811\u201d\uff0cCClinguist \u5f15\u5165\u4e86\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u7684\u81ea\u52a8\u751f\u6210\u5668\u3002\u5b83\u6a21\u62df\u4e86\u4e00\u4e2a\u4e13\u5bb6\u7684\u89d2\u8272\uff0c\u901a\u8fc7\u6210\u5343\u4e0a\u4e07\u6b21\u7684\u5c1d\u8bd5\uff0c\u5b66\u4e60\u54ea\u4e9b\u914d\u7f6e\u7ec4\u5408\u80fd\u4ea7\u751f\u6700\u5177\u7279\u5f81\u7684\u6d41\u91cf\u6a21\u5f0f\u3002<\/p>\n\n\n\n<p><strong>\u6df1\u5ea6\u89e3\u6790<\/strong>\uff1a\u8be5\u751f\u6210\u5668\u5c06\u6784\u5efa\u63a2\u6d4b\u6811\u7684\u8fc7\u7a0b\u5efa\u6a21\u4e3a\u4e00\u4e2a\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\uff08MDP\uff09\u3002RL \u667a\u80fd\u4f53\u7684\u201c\u5956\u52b1\uff08Reward\uff09\u201d\u51fd\u6570\u88ab\u7cbe\u5fc3\u8bbe\u8ba1\u4e3a\uff1a\u8bc6\u522b\u51c6\u786e\u7387\u8d8a\u9ad8\u3001\u914d\u7f6e\u5207\u6362\u6b21\u6570\u8d8a\u5c11\uff08\u5373\u63a2\u6d4b\u901f\u5ea6\u8d8a\u5feb\uff09\uff0c\u5956\u52b1\u5c31\u8d8a\u9ad8\u3002\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u667a\u80fd\u4f53\u4e0d\u65ad\u8c03\u6574\u5176\u7b56\u7565\uff0c\u5b66\u4e60\u5982\u4f55\u9488\u5bf9\u4e0d\u540c\u7b97\u6cd5\u7684\u6570\u5b66\u903b\u8f91\uff08\u5982\u57fa\u4e8e\u5ef6\u8fdf\u7684\u7b97\u6cd5\u5bf9\u6bd4\u57fa\u4e8e\u4e22\u5305\u7684\u7b97\u6cd5\uff09\u8bbe\u7f6e\u9488\u5bf9\u6027\u7684\u201c\u9677\u9631\u201d\u914d\u7f6e\u3002\u8fd9\u79cd\u81ea\u52a8\u5316\u751f\u6210\u65b9\u5f0f\u5f7b\u5e95\u53d6\u4ee3\u4e86\u4eba\u5de5\u8c03\u4f18\uff0c\u4f7f\u5f97 CClinguist \u80fd\u591f\u5feb\u901f\u9002\u914d\u4e0d\u540c\u7684\u7f51\u7edc\u62d3\u6251\uff08\u5982\u4ece\u5b9e\u9a8c\u5ba4\u73af\u5883\u5207\u6362\u5230\u536b\u661f\u94fe\u8def\uff09\u3002\u5373\u4f7f\u672a\u6765\u51fa\u73b0\u4e86\u5168\u65b0\u7684 CCA\uff0cRL \u751f\u6210\u5668\u53ea\u9700\u5728\u5305\u542b\u65b0\u7b97\u6cd5\u7684\u73af\u5883\u4e2d\u91cd\u65b0\u8fd0\u884c\u4e00\u904d\u641c\u7d22\uff0c\u5c31\u80fd\u81ea\u52a8\u4ea7\u51fa\u9488\u5bf9\u8be5\u65b0\u7b97\u6cd5\u7684\u6700\u4f18\u63a2\u6d4b\u65b9\u6848\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"219\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/3-1.png\"  class=\"wp-image-900\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/3-1.png 624w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/3-1-300x105.png 300w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe1\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe1\" \/><\/figure>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\">3. Self-learning Classifier (\u81ea\u5b66\u4e60\u5206\u7c7b\u5668)\uff1a\u5177\u5907\u201c\u81ea\u6211\u8fdb\u5316\u201d\u80fd\u529b\u7684\u8111\u5e72<\/h4>\n\n\n\n<p>\u8fd9\u662f CClinguist \u7684\u51b3\u7b56\u4e2d\u67a2\uff0c\u5b83\u4e0d\u4ec5\u8d1f\u8d23\u5bf9\u91c7\u96c6\u5230\u7684\u6d41\u91cf\u6307\u7eb9\uff08CCprints\uff09\u8fdb\u884c\u5206\u7c7b\uff0c\u8fd8\u8d1f\u8d23\u8bc6\u522b\u54ea\u4e9b\u662f\u7cfb\u7edf\u4ece\u672a\u89c1\u8fc7\u7684\u201c\u672a\u77e5\u7b97\u6cd5\u201d\u3002\u5b83\u91c7\u7528\u4e86\u57fa\u4e8e Transformer \u7684\u7279\u5f81\u63d0\u53d6\u7f16\u7801\u5668\u548c Open-set \u8bc6\u522b\u673a\u5236\u3002<\/p>\n\n\n\n<p><strong>\u6df1\u5ea6\u89e3\u6790<\/strong>\uff1a\u4f20\u7edf\u7684\u5206\u7c7b\u5668\u5728\u9047\u5230\u672a\u77e5\u7b97\u6cd5\u65f6\u4f1a\u76f2\u76ee\u62a5\u9519\u6216\u8bef\u5206\uff0c\u800c CClinguist \u7684\u81ea\u5b66\u4e60\u5206\u7c7b\u5668\u5f15\u5165\u4e86\u201c\u672a\u77e5\u68c0\u6d4b\u673a\u5236\u201d\u3002\u5b83\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u4e3a\u5df2\u77e5\u7b97\u6cd5\u5efa\u7acb\u201c\u4fe1\u4efb\u533a\u57df\u201d\uff0c\u5f53\u65b0\u6d41\u91cf\u7684\u6307\u7eb9\u843d\u5728\u6240\u6709\u533a\u57df\u4e4b\u5916\u65f6\uff0c\u7cfb\u7edf\u4f1a\u5c06\u5176\u6807\u8bb0\u4e3a\u201cUnknown\u201d\u3002\u6700\u5173\u952e\u7684\u521b\u65b0\u5728\u4e8e\u5176\u201c\u81ea\u5347\u7ea7\u201d\u94fe\u8def\uff1a\u8fd9\u4e9b\u88ab\u6807\u8bb0\u4e3a\u672a\u77e5\u7684\u6d41\u91cf\u4f1a\u88ab\u6682\u65f6\u7f13\u5b58\uff0c\u5e76\u5229\u7528\u805a\u7c7b\u7b97\u6cd5\uff08\u5982\u6539\u8fdb\u7684 K-means\uff09\u8fdb\u884c\u79bb\u7ebf\u5206\u6790\u3002\u5982\u679c\u67d0\u4e00\u7c7b\u672a\u77e5\u6d41\u91cf\u8868\u73b0\u51fa\u7a33\u5b9a\u7684\u6a21\u5f0f\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u4e3a\u5176\u5206\u914d\u4e00\u4e2a\u5f31\u6807\u7b7e\uff08Weak Label\uff09\uff0c\u5e76\u5c06\u5176\u91cd\u65b0\u5582\u5165\u8bad\u7ec3\u96c6\u3002\u8fd9\u610f\u5473\u7740\u7cfb\u7edf\u5728\u4f7f\u7528\u8fc7\u7a0b\u4e2d\uff0c\u968f\u7740\u63a5\u89e6\u5230\u7684\u672a\u77e5\u7b97\u6cd5\u8d8a\u6765\u8d8a\u591a\uff0c\u5176\u8bc6\u522b\u5e93\u4f1a\u81ea\u52a8\u6269\u5bb9\uff0c\u5b9e\u73b0\u4e86\u771f\u6b63\u7684\u201c\u65f6\u95f4\u517c\u5bb9\u6027\uff08Future-Compatible\uff09\u201d\uff0c\u8ba9\u5206\u7c7b\u5668\u80fd\u591f\u50cf\u4eba\u7c7b\u4e00\u6837\u901a\u8fc7\u7ecf\u9a8c\u79ef\u7d2f\u800c\u4e0d\u65ad\u8fdb\u5316\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"645\" height=\"327\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/1-3.png\"  class=\"wp-image-901\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/1-3.png 645w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/1-3-300x152.png 300w\" sizes=\"auto, (max-width: 645px) 100vw, 645px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe2\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe2\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">4. \u5b9e\u9a8c\u4e0e\u8bc4\u4f30\u7ed3\u679c<\/h3>\n\n\n\n<p>\u7814\u7a76\u56e2\u961f\u5728\u56db\u4e2a\u5730\u533a\u90e8\u7f72\u4e86\u6d4b\u8bd5\u5e8a\u8fdb\u884c\u8bc4\u4f30\uff0c\u7ed3\u679c\u663e\u793a\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u9ad8\u8bc6\u522b\u7cbe\u5ea6<\/strong>\uff1a\u5bf9 Linux \u5185\u6838\u4e2d\u7684 12 \u79cd\u5df2\u77e5\u7b97\u6cd5\u8bc6\u522b\u51c6\u786e\u7387\u8fbe <strong>97.33%<\/strong> \u3002<\/li>\n\n\n\n<li><strong>\u51fa\u8272\u7684\u517c\u5bb9\u6027<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u65b0\u573a\u666f<\/strong>\uff1a\u5728\u8de8\u6d0b\u9ad8\u5ef6\u8fdf\u573a\u666f\u4e0b\uff0cCClinguist \u80fd\u81ea\u52a8\u8c03\u6574\u914d\u7f6e\uff0c\u51c6\u786e\u7387\uff0891.67%\uff09\u8fdc\u9ad8\u4e8e\u4f20\u7edf\u5de5\u5177 \u3002<\/li>\n\n\n\n<li><strong>\u65b0\u7b97\u6cd5<\/strong>\uff1a\u6210\u529f\u8bc6\u522b\u4e86 3 \u79cd\u57fa\u4e8e\u5b66\u4e60\u7684\u7b97\u6cd5\uff0c\u5e76\u5728\u81ea\u5347\u7ea7\u540e\u5c06\u8bc6\u522b\u8303\u56f4\u6269\u5c55\u81f3 15 \u79cd\uff0c\u51c6\u786e\u7387\u4e3a 88.33%\uff0c\u8d85\u8fc7\u5f53\u524d\u6700\u5148\u8fdb\uff08SoTA\uff09\u65b9\u6cd5 11.8% \u3002<\/li>\n\n\n\n<li><strong>ECN \u652f\u6301<\/strong>\uff1a\u5b83\u662f\u9996\u4e2a\u80fd\u591f\u8bc6\u522b\u57fa\u4e8e\u663e\u5f0f\u62e5\u585e\u901a\u77e5 (ECN) \u7b97\u6cd5\uff08\u5982 DCTCP, BBR-v2\uff09\u7684\u5de5\u5177\uff0c\u51c6\u786e\u7387\u8fbe 89.33% \u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u771f\u5b9e\u4e16\u754c\u666e\u67e5<\/strong>\uff1a\u5728\u5bf9 7,000 \u591a\u4e2a Web \u670d\u52a1\u5668\u7684\u666e\u67e5\u4e2d\uff0c\u6210\u529f\u63a2\u6d4b\u5230\u4e86\u672a\u77e5\u7684 CCA \u53d8\u4f53 \u3002<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"313\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/4-2-1024x313.png\"  class=\"wp-image-903\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/4-2-1024x313.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/4-2-300x92.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/4-2-768x235.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/4-2.png 1296w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe3\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe3\" \/><\/figure>\n<\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"366\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/5-1-1024x366.png\"  class=\"wp-image-904\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/5-1-1024x366.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/5-1-300x107.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/5-1-768x275.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/5-1.png 1242w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe4\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe4\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"266\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/6-1-1024x266.png\"  class=\"wp-image-905\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/6-1-1024x266.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/6-1-300x78.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/6-1-768x199.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/6-1.png 1283w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe5\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe5\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1155\" height=\"267\" src=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/7-1024x237.png\"  class=\"wp-image-906\" srcset=\"https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/7-1024x237.png 1024w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/7-300x69.png 300w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/7-768x178.png 768w, https:\/\/www.ndnlab.com\/wp-content\/uploads\/2026\/01\/7.png 1155w\" sizes=\"auto, (max-width: 1155px) 100vw, 1155px\" title=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe6\" alt=\"CClinguist: An Expert-Free Framework for Future-Compatible Congestion Control Algorithm Identification\u63d2\u56fe6\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">5. \u7ed3\u8bba<\/h3>\n\n\n\n<p>CClinguist \u901a\u8fc7\u5c06\u4f20\u7edf\u7684\u624b\u52a8\u914d\u7f6e\u8f6c\u5411<strong>\u6570\u636e\u9a71\u52a8\u7684\u81ea\u4e3b\u5b66\u4e60\u6a21\u5f0f<\/strong>\uff0c\u89e3\u51b3\u4e86 CCA \u8bc6\u522b\u5de5\u5177\u5bb9\u6613\u8fc7\u65f6\u7684\u95ee\u9898 <sup><\/sup><sup><\/sup>\u3002\u5176\u5f15\u5165\u7684 D-profile Tree \u548c\u81ea\u5347\u7ea7\u5206\u7c7b\u5668\u663e\u8457\u63d0\u5347\u4e86\u5de5\u5177\u5728\u590d\u6742\u3001\u591a\u53d8\u7684\u7f51\u7edc\u73af\u5883\u4e0b\u7684\u751f\u5b58\u80fd\u529b\u548c\u6269\u5c55\u6027\uff0c\u4e3a\u672a\u6765\u7684\u7f51\u7edc\u6d4b\u91cf\u548c\u7b97\u6cd5\u7814\u7a76\u63d0\u4f9b\u4e86\u5f3a\u6709\u529b\u7684\u652f\u6301 <sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SIGCOMM &#8217;25: ACM SIGCOMM 2025 Conference September 8 &#8211; 11, 2025 Coimbra, Portugal Conference Sponsors: SIGCOMM 1. \u7814\u7a76\u80cc\u666f\u4e0e\u52a8\u673a \uff081\uff09 \u62e5\u585e\u63a7\u5236\u7b97\u6cd5 (CCA) \u7684\u91cd\u8981\u6027\u4e0e\u591a\u6837\u5316 \u62e5\u585e\u63a7\u5236\u662f\u7f51\u7edc\u534f\u8bae\u6808\u7684\u6838\u5fc3\uff0c\u76f4\u63a5\u51b3\u5b9a\u4e86\u5e26\u5bbd\u5229\u7528\u7387\u3001\u5ef6\u8fdf\u548c\u4e22\u5305\u7387\u3002\u5728\u8fc7\u53bb\u7684\u51e0\u5341\u5e74\u91cc\uff0c\u4e92\u8054\u7f51\u73af\u5883\u53d1\u751f\u4e86\u7ffb\u5929\u8986\u5730\u7684\u53d8\u5316\uff1a\u4ece\u65e9\u671f\u7684\u6709\u7ebf\u5bbd\u5e26\u5230\u5982\u4eca\u7684 5G \u79fb\u52a8\u7f51\u7edc\u3001\u536b\u661f &hellip; <a href=\"https:\/\/www.ndnlab.com\/?p=897\">\u7ee7\u7eed\u9605\u8bfb <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":898,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,5,23],"tags":[],"class_list":["post-897","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-17","category-rengongzhineng","category-23"],"_links":{"self":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/897","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=897"}],"version-history":[{"count":1,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/897\/revisions"}],"predecessor-version":[{"id":907,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/posts\/897\/revisions\/907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=\/wp\/v2\/media\/898"}],"wp:attachment":[{"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=897"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=897"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ndnlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=897"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}