Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
TCP and explicit congestion notification
ACM SIGCOMM Computer Communication Review
The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
TCP in presence of bursty losses
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A mean-field model for multiple TCP connections through a buffer implementing RED
Performance Evaluation
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Rate-based versus queue-based models of congestion control
Proceedings of the joint international conference on Measurement and modeling of computer systems
Characterization of queue fluctuations in probabilistic AQM mechanisms
Proceedings of the joint international conference on Measurement and modeling of computer systems
Part II: control theory for buffer sizing
ACM SIGCOMM Computer Communication Review
TCP with feed-forward source coding for wireless downlink networks
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
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We consider a discrete-time stochastic model of an ECN/RED gateway where competing TCP sources share the link capacity. As the number of competing flows becomes large, the asymptotic queue behavior (normalized by the number of flows) at the gateway can be described by a simple recursion and the throughput behavior of individual TCP flows becomes asymptotically independent. A Central Limit Theorem complement is also presented, yielding a more accurate characterization of the asymptotic queue size. These results suggest a scalable yet accurate model of this complex large-scale stochastic feedback system, and crisply reveal the sources of queue fluctuations.