The role of stochastic programming in communication network design

Authors:
Xian Liu
Affiliations:
Department of Systems Engineering, University of Arkansas at Little Rock, Little Rock, AR
Venue:
Computers and Operations Research
Year:
2005

Citing 8
Cited 1

Fundamentals of queueing theory (2nd ed.).

Fundamentals of queueing theory (2nd ed.).
Linear programming and network flows (2nd ed.)

Linear programming and network flows (2nd ed.)
Scenario optimization

Annals of Operations Research
Data networks (2nd ed.)

Data networks (2nd ed.)
Empirically derived analytic models of wide-area TCP connections

IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling

IEEE/ACM Transactions on Networking (TON)
Introduction to ATM Design and Performance: With Applications Analysis Software

Introduction to ATM Design and Performance: With Applications Analysis Software
Introduction to Stochastic Programming

Introduction to Stochastic Programming

Dynamic routing at different layers in IP-over-WDM networks - Maximizing energy savings

Optical Switching and Networking

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Abstract

Conventional design and optimization methods are being challenged by the rapid evolution of electronic and optical communication networks. It becomes necessary to incorporate the stochastic effect of traffic flows into network models. This paper introduces the stochastic programming (SP) methodology to characterize the stochastic traffic. A multi-commodity network model is proposed. Two SP approaches, here-and-now and scenario tracking, are described through case studies for a prototype network.