Titlebook: Analytical Methods for Network Congestion Control; Steven H. Low Book 2017 Springer Nature Switzerland AG 2017

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GOAD

Global Stability: Lyapunov Method,h as throughput, delay, loss and fairness. This is useful because the first step in designing a congestion control algorithm should be to ensure it has desirable equilibrium properties. In this chapter we study whether the algorithm will indeed drive the network toward an equilibrium starting from a

STALL

Global Stability: Gradient Projection Method, the dynamics of the closed-loop system as a gradient projection algorithm for the Lagrangian dual problem of network utility maximization. We derive sufficient conditions for this algorithm to converge to dual-optimal link prices, from which primal-optimal rates can be recovered.

Ointment

Local Stability with Delay,g rate the effect immediately reaches all the links in its path, and when a link updates its congestion price the new price is immediately sensed at all sources using that link. This is of course unrealistic. In this chapter we incorporate feedback delay into our model and study the stability of the

Expostulate

2690-4306 e, speed, traffic volume, coverage, and complexity over the last three decades. In this book, we develop a coherent theory of congestion control from the ground up to help understand and design these algorithms. We model network traffic as fluids that flow from sources to destinations and model cong

dictator

Book 2017traffic volume, coverage, and complexity over the last three decades. In this book, we develop a coherent theory of congestion control from the ground up to help understand and design these algorithms. We model network traffic as fluids that flow from sources to destinations and model congestion con

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BRIEF

GIBE

Thrombolysis

Local Stability with Delay, closed-loop system. Global stability of nonlinear systems in the presence of feedback delay is generally very difficult. Our goal is more modest: we will study local stability around the equilibrium point in the presence of feedback delay using a linearized model.