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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Scheduling To Improve Queue Justice |
Authors: |
Werner Sandmann |
Published in: |
(2006).ECMS
2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European
Council for Modeling and Simulation. doi:10.7148/2006 ISBN:
0-9553018-0-7 20th
European Conference on Modelling and Simulation, Bonn,
May 28-31, 2006 |
Citation
format: |
Sandmann, W. (2006). Scheduling To Improve
Queue Justice. ECMS 2006 Proceedings edited by: W. Borutzky,
A. Orsoni, R. Zobel
(pp. 372-377). European Council for Modeling and Simulation. doi:10.7148/2006-0372 |
DOI: |
http://dx.doi.org/10.7148/2006-0372 |
Abstract: |
Scheduling
should manage queues in a satisfactory way. Many technical applications as
well as common daily life queueing situations
involve humans, meaning that psychological effects and justice is of major importance,
where individual perceptions of justice are strongly coupled with a fair and
equal treatment of users or customers. Personal impressions of justice are
often more important than classical queueing performance
measures. Hence, quantifying justice is particularly well suited for
evaluating queueing systems and scheduling policies
with regard to human attitudes. We consider the
discrimination frequency as a basis for quantifying justice, where being
discriminated means to be overtaken or to wait for customers with large service requirements. For a queue to be just, an equal treatment of
customers is necessary, i.e. the amount of discriminations should not
excessively vary for different customers as it is often the case in commonly used
scheduling policies. A new policy, MFD (Most Frequently Discriminated), is
introduced and shown to be useful. We provide a comparative simulation study for queueing systems operating under the traditional FCFS and
SJF policies and MFD. Our results indicate that MFD significantly improves
queue justice without too much worsening mean response times. It even reduces
the variance of the response time. |
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