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arXiv · 2602.03081

Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling

Mohammadali Khodabandehlou·Jared Coleman·Niranjan Suri·Bhaskar Krishnamachari
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Abstract

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.

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Mohammadali Khodabandehlou, Jared Coleman, Niranjan Suri, Bhaskar Krishnamachari. 2026-02-03. Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling. https://doi.org/10.1109/milcom64451.2025.11310446

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