Simulation run length planning for stochastic loss models

We derive approximate formulas for the asymptotic variance of estimators of the steady-state blocking probability in a multi-server loss system. These formulas can be used to predict simulation run lengths required to obtain desired statistical precision before the simulation has been run, which can...

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Veröffentlicht in:	Proceedings of the 27th conference on Winter simulation S. 1384 - 1391
Hauptverfasser:	Srikant, Rayadurgam, Whitt, Ward
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 01.12.1995
Schriftenreihe:	ACM Conferences
Schlagworte:	Applied computing > Computers in other domains > Personal computers and PC applications > Computer games Computing methodologies > Machine learning Computing methodologies > Modeling and simulation Information systems > Information systems applications > Multimedia information systems > Massively multiplayer online games Mathematics of computing > Mathematical analysis > Functional analysis > Approximation Mathematics of computing > Mathematical analysis > Numerical analysis Mathematics of computing > Probability and statistics Software and its engineering > Software organization and properties > Contextual software domains > Virtual worlds software > Interactive games Theory of computation > Design and analysis of algorithms > Approximation algorithms analysis Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design
ISBN:	0780330188, 9780780330184
Online-Zugang:	Volltext
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