A Hybrid Polyhedral Uncertainty Model for the Robust Network Loading Problem

Ayşegül Altın (), Hande Yaman () and Mustafa Ç. Pınar ()
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Ayşegül Altın: TOBB University of Economics and Technology
Hande Yaman: Bilkent University
Mustafa Ç. Pınar: Bilkent University

A chapter in Performance Models and Risk Management in Communications Systems, 2011, pp 157-172 from Springer

Abstract: Abstract Due to the increasing importance of effective communication in today’s business, designing net- works efficiently has started to attract more attention. In this chapter, we consider the Robust Network Loading Problem (Rob-NLP), which includes private network design as a special case, an important problem in telecommunications sector. We study the problem from the view point of a com- munications service provider who wants to lease private communication lines to its customers in the most cost-efficient manner. Rather than assuming that the point-to-point communication demands are given in advance, we introduce a polyhedral demand model, which inherits the strengths of two known polyhedral demand definitions. We first develop two compact mixed integer programming for- mulations of the problem. Then we provide some experimental results for several well-known network design instances to discuss the economic and performance implications of incorporating robustness into our design efforts.

Keywords: Network Loading Problem; polyhedral demand uncertainty; robust optimization; integer programming; private network design (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4419-0534-5_7

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DOI: 10.1007/978-1-4419-0534-5_7

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