A Survey on Schedulability Analysis of Rate-Adaptive Tasks
| Autor: | Prashant Giridhar Shambharkar, Siddhant Bhambri, Mohammad Nazmud Doja, Arnav Goel |
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| Rok vydání: | 2019 |
| Předmět: |
Crankshaft
0209 industrial biotechnology business.industry Computer science Automotive industry Control engineering Angular velocity Multiprocessing 02 engineering and technology Dynamic priority scheduling 020202 computer hardware & architecture law.invention Scheduling (computing) Vehicle dynamics Microcontroller 020901 industrial engineering & automation law 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon). |
| DOI: | 10.1109/comitcon.2019.8862266 |
| Popis: | In automotive real-time systems applications, Multiprocessor Control Units (MCU) handle the engine particular tasks which depend on the specific crankshaft rotation angles and are also a function of the instantaneous angular velocity of the engine. The timing behavior of Adaptive Variable Rate (AVR) tasks has been analyzed in several papers, whose results allow verifying the behavior of engine control applications under different sets of assumptions. This survey paper highlights the major scheduling policies that have been studied in past. In particular, scheduling of such tasks at an arbitrary mode is derived for static as well as dynamic state of the engine. |
| Databáze: | OpenAIRE |
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