Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
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IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
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Performance Evaluation
Mean value analysis for queueing network models with intervals as input parameters
Performance Evaluation
The Unified Modeling Language user guide
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Conventional solution techniques for analytic performance models of computer and telecommunication systems use single values as inputs. Uncertainties or variabilities in model parameters may exist in many types of systems. Using models with a single aggregated mean value for each parameter for such systems can produce inappropriate and misleading results. This chapter presents intervals and extended histograms for characterizing system parameters that are associated with uncertainty and variability. Adaptation of existing analytic performance evaluation methods to this interval-based parameter characterization is described. The application of this approach is illustrated with two examples: a hierarchical model of a multicomputer system and a queueing network model of an EJB server implementation.