The Surprising Impact of 1% Packet Loss on Network Throughput Using CUBIC and BBR Algorithms
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Watch a 26-minute NANOG conference talk exploring the dramatic effects of minimal packet loss on network performance. Discover how even a 1% packet loss can lead to more than 70% throughput reduction in networks using the CUBIC congestion avoidance algorithm, across both symmetric and asymmetric topologies. Learn about the progressive deterioration of network performance as packet loss increases up to 10%, and compare the effectiveness of CUBIC versus BBR congestion avoidance algorithms. Principal Internet Analyst Kemal Sanjta from Cisco ThousandEyes draws from two decades of experience in large-scale network operations to present research findings that emphasize the critical importance of addressing seemingly minor packet loss issues in modern networks.
Syllabus
The Surprising Impact of 1% Packet Loss
Taught by
NANOG