Print Email Facebook Twitter Performance evaluation using periodic system-state measurements Title Performance evaluation using periodic system-state measurements Author Ellens, W. Mandjes, M. van den Berg, J.L. Worm, D.T.H. Błaszczuk, S. Publication year 2015 Abstract This paper deals with the problem of inferring short time-scale fluctuations of a system's behavior from periodic state measurements. In particular, we devise a novel, efficient procedure to compute four interesting performance metrics for a transient birth-death process on an interval of fixed length with given begin and end states: the probability to exceed a predefined (critical) level m, and the expectation of the time, area, and number of arrivals above level m. Moreover, our procedure allows to compute the variances and cross-correlations of the latter three metrics. The asymptotic behavior of the metrics for small and large measurement intervals is also derived. An extensive numerical study in the context of communication networks reveals the impact of important system parameters on the considered performance metrics, and shows that the three latter metrics are very highly correlated. We also illustrate through this numerical study how our analysis can be used in practical situations to support e.g.; capacity management and sla verification. © 2015 Elsevier B.V. Subject ICTPNS - Performance of Networks & SystemsTS - Technical SciencesInfrastructuresInformaticsInformation SocietyExceedance probabilityMeasurementsReversible Markov processTransient birth-death processMarkov processesMeasurementsAsymptotic behaviorsBirth-death processCapacity managementPerformance metricsSystem behaviorsTelecommunication networks To reference this document use: http://resolver.tudelft.nl/uuid:05126b34-e9e6-46ec-9228-3bee11586e43 DOI https://doi.org/10.1016/j.peva.2015.07.004 TNO identifier 528367 Source Performance Evaluation, 93, 27-46 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.