Abstract
In a recent survey, it was observed that the majority of the respondents to the question which task scheduling policy/policies are used in considered systems answered 'static cycle/table driven/time-Triggered'. Cyclic executives, though hardly addressed in contemporary text books, if at all, are therefore still in use in practice. Hence, there is a need for analysis techniques for these executives.In earlier work, exact analysis for single-rate AFAP (as fast as possible) and single-rate time-driven AFAP cyclic executives, scheduling a given sequence of independent hard real-Time polling tasks in single-processor systems, have been presented. Unlike the analysis for single-rate AFAP cyclic executives, the analysis for single-rate time-driven AFAP cyclic executives depends on the order of the tasks in the cycle. In this paper, we present two optimal order assignment (OOA) algorithms for single-rate time-driven AFAP cyclic executives. The first algorithm yields a schedulable order of tasks if and only if such an order exists. The second algorithm enhances the first by yielding an order that maximizes the cycle time of the executive, effectively maximizing energy efficiency or improving the average response times of background tasks.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 25th International Symposium on Real-Time Distributed Computing, ISORC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-6654-0627-7 |
| DOIs | |
| Publication status | Published - 6 Jul 2022 |
| Event | 25th IEEE International Symposium on Real-Time Distributed Computing, ISORC 2022 - Virtual, Vasteras, Sweden Duration: 17 May 2022 → 18 May 2022 |
Conference
| Conference | 25th IEEE International Symposium on Real-Time Distributed Computing, ISORC 2022 |
|---|---|
| Country/Territory | Sweden |
| City | Virtual, Vasteras |
| Period | 17/05/22 → 18/05/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
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SDG 7 Affordable and Clean Energy
Keywords
- cyclic executive
- schedulability analysis
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