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Simulation-based comparisons of Tahoe, Reno and SACK TCP
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Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
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Multiservice Loss Models for Broadband Telecommunication Networks
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A Stochastic Model of TCP Reno Congestion Avoidence and Control
A Stochastic Model of TCP Reno Congestion Avoidence and Control
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Computer Networks: The International Journal of Computer and Telecommunications Networking
Advanced concepts in large-scale network simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
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IEEE/ACM Transactions on Networking (TON)
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Performance Evaluation
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Equilibrium analysis through separation of user and network behavior
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International Journal of Network Management
Computer Networks: The International Journal of Computer and Telecommunications Networking
An analytical model of a new packet marking algorithm for TCP flows
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NET-COOP'07 Proceedings of the 1st EuroFGI international conference on Network control and optimization
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A study of TCP performance in wireless environment using fixed-point approximation
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Survey: Performance models for wireless channels
Computer Science Review
Review: An initiative for a classified bibliography on TCP/IP congestion control
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Real-time volume control for interactive network traffic replay
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper, we explore the use of fixed point methods to evaluate the performance of a large population of TCP flows traversing a network of routers implementing active queue management (AQM) such as RED (random early detection). Both AQM routers that drop and that mark packets are considered along with infinite and finite duration TCP flows. In the case of finite duration flows, we restrict ourselves to networks containing one congested router. In all cases, we formulate a fixed point problem with the router average queue lengths as unknowns. Once these are obtained, other metrics such as router loss probability, TCP flow throughput, TCP flow end-to-end loss rates, average round trip time, and average session duration are easily obtained. Comparison with simulation for a variety of scenarios shows that the model is accurate in its predictions (mean errors less than 5%). Last, we establish monotonicity properties exhibited by the solution for a single congested router that explains several interesting observations, such as TCP SACK suffers higher loss than TCP Reno.