Abstract
The article summarises author’s experience in two problems related to the use of queueing models in performance evaluation of computer networks: modelling transient states of queues and computations for queueing network models having large number of nodes. Both issues are not well represented in classical queueing theory, yet important to applications, because the observed traffic is time dependant and network topologies that should be considered become larger and larger. The article discusses two approaches: diffusion approximation and fluid-flow approximation that can cope with much larger models that are attainable with the use of Markov chains.
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Acknowledgments
This work was supported by Polish project NCN nr 4796/B/T02/2011/40 “Models for transmissions dynamics, congestion control and quality of service in Internet” and the European Union from the European Social Fund (grant agreement number: UDA-POKL.04.01.01-00-106/09).
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Czachórski, T., Nycz, M., Nycz, T. (2014). Modelling Transient States in Queueing Models of Computer Networks: A Few Practical Issues. In: Vishnevsky, V., Kozyrev, D., Larionov, A. (eds) Distributed Computer and Communication Networks. DCCN 2013. Communications in Computer and Information Science, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-319-05209-0_5
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DOI: https://doi.org/10.1007/978-3-319-05209-0_5
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