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Optimal Multiserver Scheduling with Unknown Job Sizes in Heavy Traffic

Published: 05 March 2021 Publication History

Abstract

We consider scheduling to minimize mean response time of the M/G/k queue with unknown job sizes. In the singleserver k = 1 case, the optimal policy is the Gittins policy, but it is not known whether Gittins or any other policy is optimal in the multiserver case. Exactly analyzing the M/G/k under any scheduling policy is intractable, and Gittins is a particularly complicated policy that is hard to analyze even in the single-server case.

References

[1]
S. Aalto, U. Ayesta, and R. Righter. On the Gittins index in the M/G/1 queue. Queueing Systems, 63(1):437--458, 2009.
[2]
S. Aalto, U. Ayesta, and R. Righter. Properties of the Gittins index with application to optimal scheduling. Probability in the Engineering and Informational Sciences, 25(03):269--288, 2011.
[3]
I. Grosof, Z. Scully, and M. Harchol-Balter. SRPT for multiserver systems. Performance Evaluation, 127--128:154--175, 2018.
[4]
I. Grosof, Z. Scully, and M. Harchol-Balter. Optimal multiserver scheduling with unknown job sizes in heavy tra

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 48, Issue 3
December 2020
140 pages
ISSN:0163-5999
DOI:10.1145/3453953
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2021
Published in SIGMETRICS Volume 48, Issue 3

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