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HD probabilistically reduces the congestion window (cwnd) based on its estimate of the network queuing delay. The probability of reducing cwnd is zero at hd_qmin or less, rising to a maximum at queue_threshold, and then back to zero at the maximum queuing delay.
Loss-based congestion control algorithms such as NewReno probe for network capacity by filling queues until there is a packet loss. HD competes with loss-based congestion control algorithms by allowing its probability of reducing cwnd to drop from a maximum at queue_threshold to be zero at the maximum queuing delay. This has been shown to work well when the bottleneck link is highly multiplexed.
queue_threshold | |
Queueing congestion threshold (qth) in ticks. Default is 20. | |
pmax | |
Per packet maximum backoff probability as a percentage. Default is 5. | |
qmin | |
Minimum queuing delay threshold (qmin) in ticks. Default is 5. | |
7, IEEE Commun. Lett., 555-557, A strategy for fair coexistence of loss and delay-based congestion control algorithms, 13, Jul 2009.
, , , ,The module was first released in 2010 by David Hayes whilst working on the NewTCP research project at Swinburne University of Technology's Centre for Advanced Internet Architectures, Melbourne, Australia. More details are available at:
CC_HD (4) | September 15, 2011 |
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