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Traditional congestion control algorithms exhibit low convergence rate to equilibrium when the network capacity is very large. In this paper, we present a new algorithm called Quick Kelly Control (QKC) to accelerate the convergence rate. The link utilization ratio functions are used as feedback signal and a novel nonlinear update law is constructed. The stability of this new algorithm is partly proved...
With the development of multicast service in the Internet, much attention has been drawn to multicast congestion control and analysis. Multicast traffic poses new challenges to the design of Internet congestion control protocols and system stability analysis. The rate control problem of feedback-based sessions on the coexistence of both unicast and multirate multicast traffic architecture networks...
In wireless network, TCP Reno and TCP Vegas do not work well as they do in wired network, because they take packet losses or timeout as the signal of congestion. However, in wireless network, temporary link outages or fading-induced bit errors result in packet losses, so the TCP decreases the cwnd improperly. Some variations of TCP have been developed to improve the transport protocol performance...
Recently, many new flow control mechanisms derived from the classic Kelly model are proposed to solve network congestion problems. They perform well in stability, fairness or robustness. However, most of them have convergence rates that are linear since in classic Kelly model, the link price is only positive. In addition, some needs to introduce extra packet headers to get the price information. In...
TCP can perform badly in high speed networks with large delays because of its slow response with large congestion windows. In this paper, we propose time based TCP (TBTCP for short), a simple and novel time based technique, wherein, the congestion window increase rate is adaptively adjusted based on time intervals between two consecutive losses instead of current window size or sending rate. We first...
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