IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37
DOI: 10.1109/infcom.2003.1209222
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Blocking probabilities of optical burst switching networks based on reduced load fixed point approximations

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Cited by 41 publications
(48 citation statements)
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“…The optimisation methods used in OBS routing are usually based on linear programming formulations with piecewise linear approximations of the overall BLP function [19] even it has nonlinear character [35]. Thus, in order to complete the study, we formulate and solve a nonlinear optimisation problem for an OBS network with multi-path source routing.…”
Section: Reactive and Proactive Routing Methodsmentioning
confidence: 99%
“…The optimisation methods used in OBS routing are usually based on linear programming formulations with piecewise linear approximations of the overall BLP function [19] even it has nonlinear character [35]. Thus, in order to complete the study, we formulate and solve a nonlinear optimisation problem for an OBS network with multi-path source routing.…”
Section: Reactive and Proactive Routing Methodsmentioning
confidence: 99%
“…The exact solution for blocking probabilities in OBS networks is an NP-complete problem [9]. Therefore, many studies employ a single-link model to calculate blocking probabilities in such networks.…”
Section: The Multilink Analytical Modelmentioning
confidence: 99%
“…In this article, we derive a multilink analytical model for the load-level-based mechanism based on the reduced load fixed-point approximation for OBS networks developed by Rosberg et al [9]. The main goal of this article is to analyze the performance of LLAC in a real network topology, using the developed multilink model.…”
Section: Introductionmentioning
confidence: 99%
“…This approach is taken in [16], where an analytical methodology known as reduced load fixed-point approximation [17] is used to dimension both network and computational resources. In this paper however, we focus on a 'clean slate' or greenfield Grid dimensioning problem finding the complete Grid capacity required to meet a given Grid job arrival pattern.…”
Section: The Grid Dimensioning Problemmentioning
confidence: 99%