Bounds on M/G/k Scheduling Under Moderate Load <b>Improving on SRPT-k and Tightening Lower Bounds</b>

A well-designed scheduling policy can significantly improve the performance of a queueing system, without requiring any additional resources. While scheduling is well-understood in the single-server setting, much less is known in the multiserver setting. Results are particularly sparse in moderate load settings, outside of the asymptotic regimes of heavy traffic and light traffic. Multiserver SRPT is known to achieve asymptotically optimal mean response time as in the limit as load approaches capacity, and no better policy is known outside of that asymptotic regime.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2024-09-05
DOI
https://doi.org/10.1145/3695411.3695421
Citations
1
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
0.53
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article

Bounds on M/G/k Scheduling Under Moderate Load Improving on SRPT-k and Tightening Lower Bounds

Isaac Grosof, Ziyuan Wang
1 citations
ACM SIGMETRICS Performance Evaluation Review
Advanced Queuing Theory Analysis
0.53
article

Bounds on M/G/k Scheduling Under Moderate Load Improving on SRPT-k and Tightening Lower Bounds

Isaac Grosof, Ziyuan Wang
article en
1 citations

Abstract

A well-designed scheduling policy can significantly improve the performance of a queueing system, without requiring any additional resources. While scheduling is well-understood in the single-server setting, much less is known in the multiserver setting. Results are particularly sparse in moderate load settings, outside of the asymptotic regimes of heavy traffic and light traffic. Multiserver SRPT is known to achieve asymptotically optimal mean response time as in the limit as load approaches capacity, and no better policy is known outside of that asymptotic regime.

ACM SIGMETRICS Performance Evaluation ReviewVol. 52(2)
Northwestern University (US), University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 26%
Advanced Queuing Theory Analysis
0.53
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