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NETWORKS OF INTERACTING STOCHASTIC FLUID MODELS

Part of: Operations research and management science Markov processes

Published online by Cambridge University Press:  30 August 2018

NIKKI SONENBERG
NIKKI SONENBERG*
Affiliation:
School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia email [email protected]
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Abstract

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Keywords

stochastic fluid modelsad hoc networksmatrix analytic methodsfinite buffers

MSC classification

Primary: 60J20: Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
Secondary: 90B15: Network models, stochastic
Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 98 , Issue 3 , December 2018 , pp. 516 - 517
Copyright
© 2018 Australian Mathematical Publishing Association Inc. 

Footnotes

Thesis submitted to The University of Melbourne in October 2017; degree approved on 21 March 2018; supervisor Peter Taylor.

References

Latouche, G. and Taylor, P. G., ‘A stochastic fluid model for an ad hoc mobile network’, Queueing Syst. 63 (2009), 109–129.Google Scholar