Schedulability Analysis for Self-Suspending Tasks Under EDF-Like Scheduling

Real-time systems involve tasks that may voluntarily suspend their execution as they await specific events or resources. Such self-suspension can introduce further delays and unpredictability in scheduling, making the analysis more challenging. Most current schedulability analysis methods of self-suspending tasks focus on fixed-priority scheduling or tasks with constrained deadlines. This paper proposes two schedulability analysis methods for self-suspending tasks with arbitrary deadlines under earliest-deadline-first-like (EDF-like) scheduling. Both methods are designed for preemptive uniprocessor systems. We first present a jitter-based response time analysis (JRTA) method. JRTA is designed based on a self-suspending response time analysis (SS-RTA) method under earliest-deadline-first (EDF) scheduling. We first convert self-suspensions to release jitters and then present a response time analysis (RTA) method of tasks with release jitters under EDF-like scheduling. To address the complexity of JRTA, we propose an improved schedulability analysis (ISA), a sufficiency blocking-based method. Finally, we provide many simulation experiments under some EDF-like scheduling algorithms. The results verify the effectiveness and efficiency of both proposed methods.

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Publication Details

Journal
IEEE Transactions on Computers
Published
2025-04-04
DOI
https://doi.org/10.1109/tc.2025.3558079
Citations
2
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
2.48
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article

Schedulability Analysis for Self-Suspending Tasks Under EDF-Like Scheduling

Quan Zhou, Tan Tan, Junfei Li, Bo Lv et al.
2 citations
IEEE Transactions on Computers
Scheduling and Optimization Algorithms
2.48
article

Schedulability Analysis for Self-Suspending Tasks Under EDF-Like Scheduling

Quan Zhou, Tan Tan, Junfei Li, Bo Lv, Yan Wang
article en
2 citations

Abstract

Real-time systems involve tasks that may voluntarily suspend their execution as they await specific events or resources. Such self-suspension can introduce further delays and unpredictability in scheduling, making the analysis more challenging. Most current schedulability analysis methods of self-suspending tasks focus on fixed-priority scheduling or tasks with constrained deadlines. This paper proposes two schedulability analysis methods for self-suspending tasks with arbitrary deadlines under earliest-deadline-first-like (EDF-like) scheduling. Both methods are designed for preemptive uniprocessor systems. We first present a jitter-based response time analysis (JRTA) method. JRTA is designed based on a self-suspending response time analysis (SS-RTA) method under earliest-deadline-first (EDF) scheduling. We first convert self-suspensions to release jitters and then present a response time analysis (RTA) method of tasks with release jitters under EDF-like scheduling. To address the complexity of JRTA, we propose an improved schedulability analysis (ISA), a sufficiency blocking-based method. Finally, we provide many simulation experiments under some EDF-like scheduling algorithms. The results verify the effectiveness and efficiency of both proposed methods.

IEEE Transactions on ComputersVol. 74(7)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 11%
Scheduling and Optimization Algorithms
2.48
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Schedulability Analysis for Self-Suspending Tasks Under EDF-Like Scheduling — Quan Zhou, Tan Tan, et al. · IEEE Transactions on Computers (2025) | TGRS Research Map | TGRS