Robust Design of Networks Under Risks

Y. Ermoliev (), A. Gaivoronski () and M. Makowski ()
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Y. Ermoliev: International Institute for Applied Systems Analysis
A. Gaivoronski: Norwegian University of Science and Technology
M. Makowski: International Institute for Applied Systems Analysis

Chapter Chapter 6 in Coping with Uncertainty, 2010, pp 101-137 from Springer

Abstract: Abstract Study of network risks allows to develop insights into the methods of building robust networks, which are also critical elements of infrastructures that are of a paramount importance for the modern society. In this paper we show how the modern quantitative modeling methodologies can be employed for analysis of network risks and for design of robust networks under uncertainty. The approach is illustrated by an important problem arising in the process of building the information infrastructure for the advanced mobile data services. We show how the portfolio theory developed in the modern finance can be used for design of robust provision network. Next, the modeling frameworks of Bayesian nets and Markov fields are used for the study of several problems fundamental for the process of service adoption such as the sensitivity of networks, the direction of improvements, and the propagation of participants’ attitudes on social networks.

Keywords: Bayesian Network; Service Composition; Efficient Frontier; Content Provider; Risk Tolerance (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-03735-1_6

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DOI: 10.1007/978-3-642-03735-1_6

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