Large bursts do not cause instability

Bruce Hajek

doi:10.1109/9.827366

Large bursts do not cause instability

Research output: Contribution to journal › Article

Abstract

Fluid models of queueing networks are among the simplest models to analyze. In addition, wider classes of network models are among more flexible for modeling real traffic. Thus, it is useful to reduces questions about the more realistic models to questions regarding related fluid models. In this study, the question of stability for networks with input traffic is reduced to a question of stability for a fluid model.

Original language	English (US)
Pages (from-to)	116-118
Number of pages	3
Journal	IEEE Transactions on Automatic Control
Volume	45
Issue number	1
DOIs	https://doi.org/10.1109/9.827366
State	Published - Jan 1 2000

Fingerprint

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

Hajek, B. (2000). Large bursts do not cause instability. IEEE Transactions on Automatic Control, 45(1), 116-118. https://doi.org/10.1109/9.827366

@article{0d2a889ad9754fae9babda2044fd808f,

title = "Large bursts do not cause instability",

abstract = "Fluid models of queueing networks are among the simplest models to analyze. In addition, wider classes of network models are among more flexible for modeling real traffic. Thus, it is useful to reduces questions about the more realistic models to questions regarding related fluid models. In this study, the question of stability for networks with input traffic is reduced to a question of stability for a fluid model.",

author = "Bruce Hajek",

year = "2000",

month = jan

day = "1",

doi = "10.1109/9.827366",

language = "English (US)",

volume = "45",

pages = "116--118",

journal = "IEEE Transactions on Automatic Control",

issn = "0018-9286",

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

number = "1",

}

TY - JOUR

T1 - Large bursts do not cause instability

AU - Hajek, Bruce

PY - 2000/1/1

Y1 - 2000/1/1

N2 - Fluid models of queueing networks are among the simplest models to analyze. In addition, wider classes of network models are among more flexible for modeling real traffic. Thus, it is useful to reduces questions about the more realistic models to questions regarding related fluid models. In this study, the question of stability for networks with input traffic is reduced to a question of stability for a fluid model.

AB - Fluid models of queueing networks are among the simplest models to analyze. In addition, wider classes of network models are among more flexible for modeling real traffic. Thus, it is useful to reduces questions about the more realistic models to questions regarding related fluid models. In this study, the question of stability for networks with input traffic is reduced to a question of stability for a fluid model.

UR - http://www.scopus.com/inward/record.url?scp=0033897589&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033897589&partnerID=8YFLogxK

U2 - 10.1109/9.827366

DO - 10.1109/9.827366

M3 - Article

AN - SCOPUS:0033897589

VL - 45

SP - 116

EP - 118

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

SN - 0018-9286

IS - 1

ER -

Access to Document

10.1109/9.827366