TCP AIMD dynamics over internet connections

Jianbo Gao; Nageswara S.V. Rao

doi:10.1109/LCOMM.2005.01018

TCP AIMD dynamics over internet connections

Jianbo Gao, Nageswara S.V. Rao

Autonomous and Complex Systems

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

18 Scopus citations

Abstract

The precise nature of TCP dynamics over Internet connections has not been well understood, since the existing results are solely analytical or based on simulations. We employ the time-dependent exponent curves and logarithmic displacement curves to study TCP AIMD congestion window-size traces over Internet connections. We show that these dynamics have two dominant parts, a stochastic component in response to network traffic and deterministic chaotic component due to the non-linearity of protocol. These dynamics can be largely characterized as anomalous diffusions with a very large exponent.

Original language	English
Pages (from-to)	4-6
Number of pages	3
Journal	IEEE Communications Letters
Volume	9
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2005.01018
State	Published - Jan 2005

Funding

This research is sponsored by Defense Advanced Research Projects Agency under MIPR No. K153, National Science Foundation under Grants No. ANI-0229969 and No. ANI-0335185, and by Engineering Research Program and High-Performance Networking Program of Office of Science, U. S. Department of Energy under Contract No. DE-AC0500OR22725 with UT-Battelle, LLC.

Funders	Funder number
U. S. Department of Energy
National Science Foundation	ANI-0229969, ANI-0335185
Defense Advanced Research Projects Agency	K153
Office of Science

Keywords

Chaotic dynamics
Internet traces
TCP AIMD
Transport dynamics

Access to Document

10.1109/LCOMM.2005.01018

Cite this

@article{5ee027b92c244a37bc7422fb3fe046b6,

title = "TCP AIMD dynamics over internet connections",

abstract = "The precise nature of TCP dynamics over Internet connections has not been well understood, since the existing results are solely analytical or based on simulations. We employ the time-dependent exponent curves and logarithmic displacement curves to study TCP AIMD congestion window-size traces over Internet connections. We show that these dynamics have two dominant parts, a stochastic component in response to network traffic and deterministic chaotic component due to the non-linearity of protocol. These dynamics can be largely characterized as anomalous diffusions with a very large exponent.",

keywords = "Chaotic dynamics, Internet traces, TCP AIMD, Transport dynamics",

author = "Jianbo Gao and Rao, {Nageswara S.V.}",

year = "2005",

month = jan,

doi = "10.1109/LCOMM.2005.01018",

language = "English",

volume = "9",

pages = "4--6",

journal = "IEEE Communications Letters",

issn = "1089-7798",

publisher = "Institute of Electrical and Electronics Engineers",

number = "1",

}

TY - JOUR

T1 - TCP AIMD dynamics over internet connections

AU - Gao, Jianbo

AU - Rao, Nageswara S.V.

PY - 2005/1

Y1 - 2005/1

N2 - The precise nature of TCP dynamics over Internet connections has not been well understood, since the existing results are solely analytical or based on simulations. We employ the time-dependent exponent curves and logarithmic displacement curves to study TCP AIMD congestion window-size traces over Internet connections. We show that these dynamics have two dominant parts, a stochastic component in response to network traffic and deterministic chaotic component due to the non-linearity of protocol. These dynamics can be largely characterized as anomalous diffusions with a very large exponent.

AB - The precise nature of TCP dynamics over Internet connections has not been well understood, since the existing results are solely analytical or based on simulations. We employ the time-dependent exponent curves and logarithmic displacement curves to study TCP AIMD congestion window-size traces over Internet connections. We show that these dynamics have two dominant parts, a stochastic component in response to network traffic and deterministic chaotic component due to the non-linearity of protocol. These dynamics can be largely characterized as anomalous diffusions with a very large exponent.

KW - Chaotic dynamics

KW - Internet traces

KW - TCP AIMD

KW - Transport dynamics

UR - http://www.scopus.com/inward/record.url?scp=12544252466&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2005.01018

DO - 10.1109/LCOMM.2005.01018

M3 - Article

AN - SCOPUS:12544252466

SN - 1089-7798

VL - 9

SP - 4

EP - 6

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 1

ER -

TCP AIMD dynamics over internet connections

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this