On Throughput Stabilization of Network Transport

Nageswara S.V. Rao; Qishi Wu; S. Sitharama Iyengar

doi:10.1109/LCOMM.2003.822508

On Throughput Stabilization of Network Transport

Nageswara S.V. Rao, Qishi Wu, S. Sitharama Iyengar

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

A number of network applications require stable transport throughput for tasks such as control and coordination operations over wide-area networks. We present a window-based method that achieves stable throughput at a target level by utilizing a variation of the classical Robbins-Monro stochastic approximation algorithm. We analytically show the stability of this method under very mild conditions on the network, which are justified by Internet measurements. Our User Datagram Protocol (UDP)-based implementation provides stable throughput over the Internet under various traffic conditions.

Original language	English (US)
Pages (from-to)	66-68
Number of pages	3
Journal	IEEE Communications Letters
Volume	8
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2003.822508
State	Published - Jan 2004
Externally published	Yes

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Robbins-Monro algorithm
Stochastic approximation
Transport stabilization

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10.1109/LCOMM.2003.822508

Cite this

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abstract = "A number of network applications require stable transport throughput for tasks such as control and coordination operations over wide-area networks. We present a window-based method that achieves stable throughput at a target level by utilizing a variation of the classical Robbins-Monro stochastic approximation algorithm. We analytically show the stability of this method under very mild conditions on the network, which are justified by Internet measurements. Our User Datagram Protocol (UDP)-based implementation provides stable throughput over the Internet under various traffic conditions.",

keywords = "Robbins-Monro algorithm, Stochastic approximation, Transport stabilization",

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note = "Funding Information: Manuscript received May 8, 2003. The associate editor coordinating the review of this letter and approving it for publication was Dr. J. Choe. This work was supported by the Defense Advanced Research Projects Agency under Grant MIPR K153, by the National Science Foundation under Award ANI-0335185 and Award ANI-0229969, and by Engineering Research Program and High-Performance Networking Program of Office of Science, U. S. Department of Energy under Contract DE-AC05-00OR22725 with UT-Battelle, LLC.",

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doi = "10.1109/LCOMM.2003.822508",

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AU - Wu, Qishi

AU - Iyengar, S. Sitharama

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N2 - A number of network applications require stable transport throughput for tasks such as control and coordination operations over wide-area networks. We present a window-based method that achieves stable throughput at a target level by utilizing a variation of the classical Robbins-Monro stochastic approximation algorithm. We analytically show the stability of this method under very mild conditions on the network, which are justified by Internet measurements. Our User Datagram Protocol (UDP)-based implementation provides stable throughput over the Internet under various traffic conditions.

AB - A number of network applications require stable transport throughput for tasks such as control and coordination operations over wide-area networks. We present a window-based method that achieves stable throughput at a target level by utilizing a variation of the classical Robbins-Monro stochastic approximation algorithm. We analytically show the stability of this method under very mild conditions on the network, which are justified by Internet measurements. Our User Datagram Protocol (UDP)-based implementation provides stable throughput over the Internet under various traffic conditions.

KW - Robbins-Monro algorithm

KW - Stochastic approximation

KW - Transport stabilization

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On Throughput Stabilization of Network Transport

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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