Title	On Bayesian Estimation for Join the Shortest Queue Model
Creator	Ghashim, Ehssan
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2020-08-21T11:30
Description	We are concerned with an M /M /- join the shortest queue model with N parallel queues for an arbitrary large N, in which each queue has a dedicated input stream. Each server has an exponential service rate Î¼. Assuming the steady-state case, a bayesian paradigm is used in estimating the traffic intensity based on queue length data only and based on the mean field interaction model for the limiting behavior of the JSQ model studied by Daw- son et al. (2019) . Several prior distributions are taken into account and numerical results show the accuracy of our estimate of the traffic intensity.
Extent	26.0 minutes
Subject	Mathematics; Mathematics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Carleton University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2021-02-18
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0395901
URI	http://hdl.handle.net/2429/77325
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Graduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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