A duality model of TCP and queue management algorithms

By Steven H. Low. TNET, 2003

762 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/1716eab9042dcb5595c94ea68f23b66ab76e237f

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Management Information Systems

Citations in the corpus

Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm (2005, background): “(See [11] [14] [16] [18] for recent reviews of the field.)”
FAST TCP: Motivation, Architecture, Algorithms, Performance (2006, neutral): “, [31], [42], [35], [50], [46 ], [76], [44], [41], [6], [51], [63], [34], [19], [39], [33], [64], [53], [8], [52], [73], [11], [56] (see also, e.”
Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (2007, methodology): “, [86], [72]) the source algorithm Fs(t + 1) := Fs(xs(t), qs(t)):”
A tutorial on decomposition methods for network utility maximization (2006, background): “, [13] and [14]) to the basic NUM problem in [19] for distributed end-to-end rate allocation.”
Hop-by-Hop Congestion Control Over a Wireless Multi-Hop Network (2004, background): “Recent work on congestion control problem provides an optimization based framework for Internet congestion control and derives a di erential equation based distributed solution in presence or absence of feedback delay with both primal [2]‐ [7], [7]‐[9] and dual [10], [ 11 ] approach.”
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control (2005, background): “…[17] that analyze network rate allocation as a distributed solution of utility maximization, TCP congestion control mechanisms have recently been analyzed as approximated distributed algorithms solving appropriately formulated network utility maximization problems (e.g., [18], [21]–[23], and [25]).”
A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids (2011, neutral): “in wireless networks [40] and the traffic congestion protocol for wired data networks [41], [42].”
Localized algorithm for aggregate fairness in wireless sensor networks (2006, background): “the second problem [8, 9, 10, 11], under the assumptions of fixed link capacities, single-path routing, and/or timely, reliable, end-toend feedback, which make the solutions not immediately applicable in sensor networks.”