2015
DOI: 10.1109/taes.2015.140063
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Scheduling periodic task graphs for safety-critical time-triggered avionic systems

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Cited by 26 publications
(15 citation statements)
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“…However, the studies all assume that each task and its instances are started in a strictly periodic pattern. In reality, besides the strictly periodic tasks within time-triggered applications, there also exist non-strictly periodic tasks where each instance of a task does not need to be started periodically [21][22][23]. To the best of our knowledge, Ref.…”
Section: Related Workmentioning
confidence: 99%
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“…However, the studies all assume that each task and its instances are started in a strictly periodic pattern. In reality, besides the strictly periodic tasks within time-triggered applications, there also exist non-strictly periodic tasks where each instance of a task does not need to be started periodically [21][22][23]. To the best of our knowledge, Ref.…”
Section: Related Workmentioning
confidence: 99%
“…To the best of our knowledge, Ref. [21] is the first study that tried to derive better system performance with scheduling both strictly and non-strictly periodic tasks in the safety-critical time-triggered systems. However, their work only focuses on enhancing schedulability, and energy optimization is not involved.…”
Section: Related Workmentioning
confidence: 99%
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“…Following this direction, different approaches have been proposed to deal with the scheduling of time-driven tasks and messages. A scheduling algorithm (synchronized highest level first) along with two rescheduling and backtracking procedures (release time deferment and backtracking and priority promotion) have been proposed [26]. The algorithm is meant to schedule periodic applications (task graphs) that involve periodic and aperiodic tasks and messages from safety-critical time-triggered avionics systems.…”
Section: Related Workmentioning
confidence: 99%
“…To classify objects and to use the best sensor combination possible, it is crucial to compare their data. As not only the car, but also the surrounding objects move, the point in time when data is acquired needs to be known [3]. In that case, predictions of movement make objects comparable that were acquired by different sensors.…”
Section: State Of the Artmentioning
confidence: 99%