Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers

Esa Hyytiä; Rhonda Righter; Olivier Bilenne; Xiaohu Wu

doi:10.1016/j.peva.2017.04.003

Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers

Esa Hyytiä^*, Rhonda Righter, Olivier Bilenne, Xiaohu Wu

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

5 Citations (Scopus)

130 Downloads (Pure)

Abstract

We study the M/D/1 queue when jobs have firm deadlines for waiting (or sojourn) time. If a deadline is not met, a job-specific deadline violation cost is incurred. We derive explicit value functions for this M/D/1 queue that enable the development of efficient cost-aware dispatching policies to parallel servers. The performance of the resulting dispatching policies is evaluated by means of simulations.

Original language	English
Pages (from-to)	32-44
Number of pages	13
Journal	Performance Evaluation
Volume	114
DOIs	https://doi.org/10.1016/j.peva.2017.04.003
Publication status	Published - 25 May 2017
MoE publication type	A1 Journal article-refereed

Keywords

Deadlines
Dispatching problem
M/D/1
MDP
Parallel computing

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10.1016/j.peva.2017.04.003Licence: CC BY

1-s2.0-S0166531616302164-main
© 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC-BY Licence.
Final published version, 1.31 MBLicence: CC BY

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Hyytiä, E., Righter, R., Bilenne, O., & Wu, X. (2017). Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers. Performance Evaluation, 114, 32-44. https://doi.org/10.1016/j.peva.2017.04.003

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