The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Comparative performance analysis of versions of TCP in a local network with a lossy link
IEEE/ACM Transactions on Networking (TON)
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
Equation-based congestion control for unicast applications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Extending equation-based congestion control to multicast applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Analytic models for the latency and steady-state throughput of TCP tahoe, Reno, and SACK
IEEE/ACM Transactions on Networking (TON)
Closed queueing network models of interacting long-lived TCP flows
IEEE/ACM Transactions on Networking (TON)
A stochastic model of TCP/IP with stationary random losses
IEEE/ACM Transactions on Networking (TON)
Improving TCP in wireless networks with an adaptive machine-learnt classifier of packet loss causes
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
A survey on TCP-friendly congestion control
IEEE Network: The Magazine of Global Internetworking
TCP/IP modeling and validation
IEEE Network: The Magazine of Global Internetworking
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
Machine-learnt versus analytical models of TCP throughput
Computer Networks: The International Journal of Computer and Telecommunications Networking
How to model a TCP/IP network using only 20 parameters
Proceedings of the Winter Simulation Conference
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Based on a large set of TCP sessions we first study the accuracy of two well-known analytical models (SQRT and PFTK) of the TCP average rate. This study shows that these models are far from being accurate on average. Actually, our simulations show that 70% of their predictions exceed the boundaries of TCP-Friendliness, thus questioning their use in the design of new TCP-Friendly transport protocols. Our study also shows that the inaccuracy of the PFTK model is largely due to its inability to make the distinction between the two packet loss detection methods used by TCP: triple duplicate acknowledgments or timeout expirations. We then use supervised learning techniques to infer models of the TCP rate. These models show important accuracy improvements when they take into account the two types of losses. This suggests that analytical model of TCP throughput should certainly benefit from the incorporation of the timeout loss rate.