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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ha, Soonhoi Kim, Jinwoo Oh, Hyunok Choi, Junchul Ha, Hyojin |
| Abstract | In this paper, we propose a novel analytical method, called scheduling time bound analysis, to find a tight upper bound of the worst-case response time in a distributed real-time embedded system, considering execution time variations of tasks, jitter of input arrivals, and scheduling anomaly behavior in a multi-tasking system all together. By analyzing the graph topology and worst-case scheduling scenarios, we measure the conservative scheduling time bound of each task. The proposed method supports an arbitrary mixture of preemptive and non-preemptive processing elements. Its speed is comparable to compositional approaches while it gives a much tighter bound. The advantages of the proposed approach compared with related work were verified by experimental results with randomly generated task graphs and a real-life automotive application. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450320719 |
| DOI | 10.1145/2463209.2488893 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-05-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Distributed embedded system Performance analysis Worst case response time |
| Content Type | Text |
| Resource Type | Article |
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