/en/tags/google/Recent content in Google on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Sun, 10 May 2026 00:00:00 +0000/en/posts/network/bbr-algorithm-deep-dive/Sun, 10 May 2026 00:00:00 +0000/en/posts/network/bbr-algorithm-deep-dive/<p>BBR (Bottleneck Bandwidth and Round-trip propagation time), developed by Neal Cardwell, Yuchung Cheng, and others at Google, is one of the most advanced model-based congestion control algorithms available today. Unlike traditional loss-based algorithms (Reno, CUBIC), BBR explicitly models the network path by directly measuring bottleneck bandwidth and propagation delay, sending data at the BDP (Bandwidth-Delay Product) rate at the bottleneck point.</p> <p>BBR&rsquo;s core insight is that <strong>packet loss does not equal congestion</strong>. On deep-buffered (Bufferbloat) or wireless links, packet loss can be caused by channel noise or excessive buffer queuing rather than genuine link saturation. BBR actively measures bandwidth and latency to precisely control the sending rate, rather than passively waiting for loss signals.</p>