Internet congestion control

By Steven H. Low, Fernando Paganini, John C. Doyle. 2002

895 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0cc93cca8d2322f9d2e96f2d09fce09f2089c36f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Network Optimization and Control (2008, background): “2 that summarizes the relationships between the primal and dual variables is from [35].”
Analysis and design of controllers for AQM routers supporting TCP flows (2002, background): “The reader is also directed to the recent paper [21] which provides additional control-theoretic perspective on congested TCP networks.”
Stability Criteria for Switched and Hybrid Systems (2007, methodology): “This basic mechanism provides TCP sources operating in congestion avoidance mode [94] with a method for inferring available network bandwidth and for controlling congestion in the network.”
Thinking fast and slow: Optimization decomposition across timescales (2017, background): “, communication networks [11], [28], [44], power systems [15], [34], robotics [37], [45].”
FAST TCP: Motivation, Architecture, Algorithms, Performance (2006, neutral): “The emerging theory of large-scale networks under end-to-end control, e.g., [6], [8], [11], [19], [31], [33]–[35], [39], [41], [42], [44], [46], [50]–[53], [56], [63], [64], [73], [76] (see also, e.g., [30], [40], [43], [57] for recent surveys), forms the foundation of the ﬂow-level design.”
Host-to-Host Congestion Control for TCP (2010, background): “[7] (congestion control for networks with high levels of packet reordering), Low et al. [8] (current up to 2002 TCP variants and their analytical models), Hasegawa and Murata [9] (fairness issues in congestion control), and others researchers.”
Geometric Programming for Communication Systems (2005, background): “Delay-based congestion signals, like those in TCP Vegas, have more desirable properties on convergence, stability, and fairness [87].”
Simultaneous routing and resource allocation via dual decomposition (2004, background): “It is worthwhile to point out that our SRRA formulation allows a possible extension of the work on optimization-based congestion control in computer networks (see, e.g., [20]–[22]) to joint flow and power control in wireless networks.”
Complexity and robustness (2001, background): “changes in physical media, to the millisecond-to-second changes in traffic flow, to the daily fluctuations in user interactions, to evolving hardware and application modules over years and decades ([11], [14], [23], [25]).”
A duality model of TCP and queue management algorithms (2003, background): “3) The approach taken here follows that in [18] where queue management mechanisms are modeled entirely by .”
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control (2005, methodology): “properties on convergence, stability, and fairness [22], and the simulation examples use TCP Vegas [5] at the sources.”
Global consensus for discrete-time multi-agent systems with input saturation constraints (2014, background): “…including consensus computation (Tsitsiklis, 1984; Jadbabaie, Lin, and Morse, 2003; Olfati- Saber and Murray, 2004; Bai, Arcak, and Wen, 2011), synchronization (Wu and Chua, 1995), distributed processing (Lynch, 1996), and network flow control (Low, Paganini, and Doyle, 2002; Wen and Arcak, 2004).”