Abstract
In this paper we develop a novel approach to confidence estimation of the stationary measures in high performance multiserver queueing systems. This approach is based on construction of the two processes which are, respectively, upper and lower (stochastic) bounds for the trajectories of the basic queue size process in the original system. The main feature of these envelopes is that they have classical regenerations. This approach turns out to be useful when the original process is not regenerative or regenerations occur extremely rare to be applied in estimation. We apply this approach to construct confidence intervals for the steady-state queue size in classical multiserver systems and also for the novel high performance cluster (HPC) model, a multiserver system with simultaneous service. Simulation based on a real HPC dataset shows that this approach allows to estimate stationary queue size in a reasonable time with a given accuracy.
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Acknowledgments
This work is supported by Russian Foundation for Basic research, projects No 15–07–02341, 15–07–02354, 15–07–02360, 15–29–07974, 16–07–00622 and by the Program of strategic development of Petrozavodsk State University.
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Morozov, E., Nekrasova, R., Peshkova, I., Rumyantsev, A. (2016). A Regeneration-Based Estimation of High Performance Multiserver Systems. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2016. Communications in Computer and Information Science, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-39207-3_24
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DOI: https://doi.org/10.1007/978-3-319-39207-3_24
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