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Preventing Large Sojourn Times Using SMART Scheduling

Published: 01 January 2008 Publication History

Abstract

Recently, the so-called class of SMART scheduling policies has been introduced to formalize the common heuristic of “biasing toward small jobs.” We study the tail of the sojourn-time (response-time) distribution under both SMART policies and the foreground-background policy (FB) in the GI/GI/1 queue. We prove that these policies behave very well under heavy-tailed service times. Specifically, we show that the sojourn-time tail under all SMART policies and FB is similar to that of the service-time tail, up to a constant, which makes the SMART class superior to first-come-first-served (FCFS). In contrast, for light-tailed service times, we prove that the sojourn-time tail under FB and SMART is larger than that under FCFS. However, we show that the sojourn-time tail for a job of size y under FB and all SMART policies still outperforms FCFS as long as y is not too large.

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  • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1ACM SIGMETRICS Performance Evaluation Review10.1145/3673660.365508452:1(5-6)Online publication date: 13-Jun-2024
  • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1Proceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36560118:2(1-33)Online publication date: 29-May-2024
  • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3652963.3655084(5-6)Online publication date: 10-Jun-2024
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    Information & Contributors

    Information

    Published In

    cover image Operations Research
    Operations Research  Volume 56, Issue 1
    January 2008
    266 pages

    Publisher

    INFORMS

    Linthicum, MD, United States

    Publication History

    Published: 01 January 2008
    Accepted: 01 October 2006
    Received: 01 October 2005

    Author Tags

    1. limit theorems
    2. priority
    3. probability
    4. queues
    5. stochastic model applications

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    Cited By

    View all
    • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1ACM SIGMETRICS Performance Evaluation Review10.1145/3673660.365508452:1(5-6)Online publication date: 13-Jun-2024
    • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1Proceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36560118:2(1-33)Online publication date: 29-May-2024
    • (2024)Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3652963.3655084(5-6)Online publication date: 10-Jun-2024
    • (2023)On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge SchedulingACM SIGMETRICS Performance Evaluation Review10.1145/3606376.359355651:1(97-98)Online publication date: 27-Jun-2023
    • (2023)On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge SchedulingAbstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems10.1145/3578338.3593556(97-98)Online publication date: 19-Jun-2023
    • (2023)Minimizing the mean slowdown in the M/G/1 queueQueueing Systems: Theory and Applications10.1007/s11134-023-09888-6104:3-4(187-210)Online publication date: 4-Sep-2023
    • (2022)On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge SchedulingProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35706106:3(1-22)Online publication date: 8-Dec-2022
    • (2021)Nudge: Stochastically Improving upon FCFSProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/34600885:2(1-29)Online publication date: 4-Jun-2021
    • (2020)Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job SizesACM SIGMETRICS Performance Evaluation Review10.1145/3410048.341006948:1(35-36)Online publication date: 9-Jul-2020
    • (2020)Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job SizesAbstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3393691.3394179(35-36)Online publication date: 8-Jun-2020
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