AIMD combines linear growth of the congestion window when there is no congestion with an exponential reduction when congestion is detected. Multiple flows using AIMD congestion control will eventually converge to an equal usage of a shared link.
We refer to this window adjustment strategy as general additive increase multiplicative decrease (GAIMD).
In this paper, we consider a more general version of AIMD than is implemented in TCP; specifically, the sender's window size is increased by a if there is no ...
Apr 17, 2023 · Effectiveness: AIMD is the most effective algorithm for congestion avoidance. It comes into action 'when' there is packet loss across the link.
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This paper by Yang and Lam discusses a new analysis of the additive increase/multiplicative decrease congestion control algorithm present in TCP. Their analysis ...
Fast-AIMD: A fairness based congestion control approach for TCP networks · On the throughput analysis of rate-based and window-based congestion control schemes.
May 9, 2000 · The congestion control schemes investigated can be divided into two cate- gories: AIMD-based [12, 23, 3, 22, 18] and formula-based [16, 28, 25, ...
We found the formula to be quite accurate for a loss rate of up to 20%. We also present in this paper a simple relationship between a and 0 for a GAIMD flow to ...
Simulation setup. 16 TCP Reno flows, 16 GAIMD flows, and flows with. ON/OFF times to model web-like traffic (UDP flows and short TCP flows).
Nov 10, 2014 · The AIMD Additive Increase Multiplicative Decrease CA algorithm halves the size of the congestion window when a loss has been detected.