Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Khodabandehlou, Mohammadali, Coleman, Jared, Suri, Niranjan, Krishnamachari, Bhaskar
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866908808082620416
author Khodabandehlou, Mohammadali
Coleman, Jared
Suri, Niranjan
Krishnamachari, Bhaskar
author_facet Khodabandehlou, Mohammadali
Coleman, Jared
Suri, Niranjan
Krishnamachari, Bhaskar
contents Dynamic scheduling of task graphs is often addressed without revisiting prior task allocations, with a primary focus on minimizing makespan. We study controlled schedule preemption, introducing the Last-K Preemption model, which selectively reschedules recent task graphs while preserving earlier allocations. Using synthetic, RIoTBench, WFCommons, and adversarial workloads, we compare preemptive, non-preemptive, and partial-preemptive strategies across makespan, fairness, utilization, and runtime. Results show moderate preemption can match most makespan and utilization gains of full preemption while maintaining fairness and low overhead.
format Preprint
id arxiv_https___arxiv_org_abs_2602_03081
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling
Khodabandehlou, Mohammadali
Coleman, Jared
Suri, Niranjan
Krishnamachari, Bhaskar
Distributed, Parallel, and Cluster Computing
C.2.4; C.2.1
Dynamic scheduling of task graphs is often addressed without revisiting prior task allocations, with a primary focus on minimizing makespan. We study controlled schedule preemption, introducing the Last-K Preemption model, which selectively reschedules recent task graphs while preserving earlier allocations. Using synthetic, RIoTBench, WFCommons, and adversarial workloads, we compare preemptive, non-preemptive, and partial-preemptive strategies across makespan, fairness, utilization, and runtime. Results show moderate preemption can match most makespan and utilization gains of full preemption while maintaining fairness and low overhead.
title Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling
topic Distributed, Parallel, and Cluster Computing
C.2.4; C.2.1
url https://arxiv.org/abs/2602.03081