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We consider a stochastic model of an ECN/RED gateway with competing TCP sources sharing the capacity. As the number of competing flows becomes large, the queue behavior at the gateway can be described by a two-dimensional recursion and the throughput behavior of individual TCP flows becomes asymptotically independent. The steady-state regime of the limiting(More)
We develop a framework for studying the interaction of a probabilistic active queue management (AQM) algorithm with a generic end-user congestion-control mechanism. We show that as the number of flows in the network increases, the queue dynamics can be accurately approximated by a simple deterministic process. In addition, we investigate the sources of(More)
We investigate the fairness of two reverse-link MAC algorithms in cdma2000 1xEV-DO High Rate Packet Data systems. Following the framework proposed by Kelly [1] for Internet congestion-control, we formulate a utility maximization problem and provide a simple sufficient condition for both algorithms to converge to the solution of this problem. Furthermore, we(More)
Several studies in network traffic characterization have concluded that network traffic is self-similar and therefore not readily amenable to statistical multiplexing in a distributed computing system. This paper examines the effects of the TCP protocol stack on network traffic via an experimental study on the different implementations of TCP. We show that(More)
Via experimental study, we illustrate how TCP modulates application traffic in such a way as to adversely affect network performance in a heterogeneous computing system. Even when aggregate application traffic smooths out as more applications’ traffic are multiplexed, TCP induces burstiness into the aggregate traffic load, and thus hurts network(More)
Short-lived TCP traffic (e.g., web mice) composes the majority of the current Internet traffic. Accurate traffic modeling of a large number of short-lived TCP flows is extremely difficult due to (i) the interaction between session, transport, and network layers; and (ii) the explosion of the size of state space when the number of flows is large. Typically,(More)
Accurate modeling of a large number of heterogeneous TCP flows is important for the understanding and control of Internet traffic. Difficulties in deriving such models arise due to the interaction between different protocol layers and a large state space size. We introduce a stochastic model of a bottleneck ECN/RED gateway under a large number of competing(More)
We consider a stochastic model of an ECN/RED gateway with competing TCP sources sharing the capacity. As the number of competing flows becomes large, the asymptotic queue behavior at the gateway can be described by a simple recursion and the throughput behavior of individual TCP flows becomes asymptotically independent. In addition, a Central Limit Theorem(More)
We introduce a stochastic model of a bottleneck ECN/RED gateway under a large number of heterogeneous TCP flows, i.e., flows with diverse round-trip delays and session dynamics. We investigate the asymptotic behavior of the system and show that as the number of flows becomes large, the buffer dynamics and aggregate traffic simplify and can be accurately(More)