Time Series Analysis for Congestion Detection in TCP/AQM Networks

Lin Yang; Jin Zhu; Wanqing Xie; Geir E. Dullerud

doi:10.1109/LCOMM.2014.2385774

Time Series Analysis for Congestion Detection in TCP/AQM Networks

Lin Yang, Jin Zhu, Wanqing Xie, Geir E. Dullerud

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

Abstract

This letter aims at modeling the congestion detection issue commonly discussed in the research community. Based on the proposed model, we investigate how the correlation of traffic and measurement noise process affects the detection algorithm's performance by time series analysis approach.

Original language	English (US)
Article number	6998000
Pages (from-to)	331-334
Number of pages	4
Journal	IEEE Communications Letters
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/LCOMM.2014.2385774
State	Published - Mar 1 2015

Keywords

Congestion detection
Time series analysis

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Online availability

10.1109/LCOMM.2014.2385774

Library availability

Discover UIUC Full Text

Cite this

@article{47928d97788b4787a0872cb4ed144db7,

title = "Time Series Analysis for Congestion Detection in TCP/AQM Networks",

abstract = "This letter aims at modeling the congestion detection issue commonly discussed in the research community. Based on the proposed model, we investigate how the correlation of traffic and measurement noise process affects the detection algorithm's performance by time series analysis approach.",

keywords = "Congestion detection, Time series analysis",

author = "Lin Yang and Jin Zhu and Wanqing Xie and Dullerud, {Geir E.}",

note = "Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

year = "2015",

month = mar,

day = "1",

doi = "10.1109/LCOMM.2014.2385774",

language = "English (US)",

volume = "19",

pages = "331--334",

journal = "IEEE Communications Letters",

issn = "1089-7798",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Time Series Analysis for Congestion Detection in TCP/AQM Networks

AU - Yang, Lin

AU - Zhu, Jin

AU - Xie, Wanqing

AU - Dullerud, Geir E.

PY - 2015/3/1

Y1 - 2015/3/1

N2 - This letter aims at modeling the congestion detection issue commonly discussed in the research community. Based on the proposed model, we investigate how the correlation of traffic and measurement noise process affects the detection algorithm's performance by time series analysis approach.

AB - This letter aims at modeling the congestion detection issue commonly discussed in the research community. Based on the proposed model, we investigate how the correlation of traffic and measurement noise process affects the detection algorithm's performance by time series analysis approach.

KW - Congestion detection

KW - Time series analysis

UR - http://www.scopus.com/inward/record.url?scp=84925245490&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84925245490&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2014.2385774

DO - 10.1109/LCOMM.2014.2385774

M3 - Article

AN - SCOPUS:84925245490

SN - 1089-7798

VL - 19

SP - 331

EP - 334

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 3

M1 - 6998000

ER -

Time Series Analysis for Congestion Detection in TCP/AQM Networks

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this