Modeling server usage for online ticket sales
Modeling server usage for online ticket sales
This article describes the use of a discrete event simulation model to estimate the server power required for the online sale of concert tickets to a required service standard. Data are available on the number of purchases made per hour and the percentage of tickets booked online for previous concerts and we describe how these are used to estimate the number of users in the system. We use bootstrapping to allow us to take account of the variability in this estimate when calculating the confidence intervals for the simulation model outputs. A queuing model is also introduced, which is useful to provide a quick calculation of how busy the server is before running the more computationally-intensive simulation model. A numerical example is used to describe the model and the methodology.
978-1-4577-2109-0
752-760
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
December 2011
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
Currie, Christine S.M. and Lu, Lanting
(2011)
Modeling server usage for online ticket sales.
In Proceedings of the 2011 Winter Simulation Conference.
IEEE.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This article describes the use of a discrete event simulation model to estimate the server power required for the online sale of concert tickets to a required service standard. Data are available on the number of purchases made per hour and the percentage of tickets booked online for previous concerts and we describe how these are used to estimate the number of users in the system. We use bootstrapping to allow us to take account of the variability in this estimate when calculating the confidence intervals for the simulation model outputs. A queuing model is also introduced, which is useful to provide a quick calculation of how busy the server is before running the more computationally-intensive simulation model. A numerical example is used to describe the model and the methodology.
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Published date: December 2011
Venue - Dates:
Winter Simulation Conference 2011, Phoenix, United States, 2011-12-11 - 2011-12-14
Organisations:
Operational Research
Identifiers
Local EPrints ID: 337319
URI: http://eprints.soton.ac.uk/id/eprint/337319
ISBN: 978-1-4577-2109-0
PURE UUID: 58385ce2-cc76-4fbe-9bab-f8a38866edae
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Date deposited: 24 Apr 2012 15:41
Last modified: 15 Mar 2024 03:15
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Author:
Lanting Lu
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