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On the gap between schedulability tests and an automotive task model
Affiliation:1. Department of Computer Science and Information Engineering, National Taitung University, Taiwan;2. School of Computing Informatics and Decision Systems Engineering, Arizona State University, USA;3. Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan
Abstract:In this paper, we study the adequacy of available schedulability tests for monoprocessor fixed-priority systems to enable performing scheduling analysis for automotive applications. We show that, in spite of the work carried out during the last decade to enhance these tests in order to support more realistic task model, a gap still exists between the task model considered in these tests and the usual automotive task model. However, we claim that an extension of these tests is possible to support some of the uncovered automotive features. The aim of this study is to raise discussion and make researchers involved in the development of such schedulability tests be aware of the effort needed to bridge the gap between current schedulability tests and automotive task model mostly used. The study is illustrated by showing the concrete challenges faced when applying scheduling analysis to a case study derived from a real engine control application.
Keywords:Schedulability tests  Automotive task model  Scheduling analysis
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