Scalable laws for stable network congestion control
By Fernando Paganini, John C. Doyle, Steven H. Low. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2001
312 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a519fa882eda4749f9cb5e2f9e7f60a0b4e49ffc
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
- Steven H. Low
- Mung Chiang
- Richard M. Murray
- Reza Olfati-Saber
- John C. Doyle
- Sanjay Shakkottai
- Wei Ren
- A. Robert Calderbank
In Electrical and Electronic Engineering
- Mung Chiang
- Steven H. Low
- John C. Doyle
- Richard M. Murray
- Sanjay Shakkottai
- A. Robert Calderbank
- Fernando Paganini
- Rayadurgam Srikant
Citations in the corpus
- Hop-by-Hop Congestion Control Over a Wireless Multi-Hop Network (2004, background): “Works of [13], [1], [1 4], [3], [15], [16] study the stability of such end-to-end contr ollers in the presence of feedback delay.”
- Network Congestion Control of Airport Surface Operations (2014, background): “The airport surface congestion problems considered in this paper are similar to those encountered in wireless networks [9,10], Transmission Control Protocol (TCP) congestion control [11], and manufacturing systems [12–14].”
- Malliavin Calculus for Fractional Delay Equations (2009, background): “In spite of this lack of theoretical results, the need for suitable oscillating dynamical models with delays is obvious in the applied literature, and involves problems in signal or disease transmission [6, 32, 35], biochemical reactions [2] or gene regulation [5, 25].”
- Consensus problems in networks of agents with switching topology and time-delays (2004, background): “This is partly due to broad applications of multi-agent systems in many areas including cooperative control of unmanned air vehicles (UAVs), formation control [1], [2], [3], [4], [5], flocking [6], [7], [8], distributed sensor networks [9], attitude alignment of clusters of satellites, and congestio”
- FAST TCP: Motivation, Architecture, Algorithms, Performance (2006, background): “This helps maintain stabilit y as network capacity grows [51], [8], [53], [52].”
- Finite-time stability of multi-agent system in disturbed environment (2012, background): “These dynamical network systems cover a very broad spectrum of applications including cooperative control of unmanned air vehicles (UAVs) [3], autonomous underwater vehicles (AUVs) [4], distributed sensor networks [5], air and ground transportation systems [6], swarms of air and space vehicle format”
- Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (2007, background): “, [102], [103], [141], [142] for local stability of linearized systems and [89], [107], [106], [115] for global stability; see also surveys in [63], [90], [125] for further references.”
- Network Optimization and Control (2008, background): “[73], and for the primal-dual-type controllers by Kunniyur and Srikant [74] and by Liu et.”
- Understanding TCP vegas: a duality model (2001, background): “Network topology for multilink simulations. stability in the face of feedback delay [Paganini et al. 2001].”
- Dynamics of TCP/RED and a scalable control (2002, methodology): “In Section V we present a simple congestion control algorithm, developed in [7], that can be implemented in a decentralized manner by sources and links, and that is scalable: it maintains linear stability for arbitrary delay, capacity, load and routing.”