Modeling and Analysis of Engine Control Tasks Under Dynamic Priority Scheduling

In automotive systems, engine control applications include computational activities that are triggered by specific rotation angles of the crankshaft, causing their activation rate to be proportional to the engine speed. In order to avoid overloads at high engine speeds, these tasks are implemented to adapt their functionality based on the angular velocity of the engine. This paper proposes a task model for expressing a number of realistic features of such engine control tasks and presents a real-time schedulability analysis for applications consisting of multiple engine control tasks and classical periodic/sporadic tasks scheduled by the earliest deadline first algorithm. Differently from other efforts spent in analyzing engine-control applications, the presented approach is focused on simplicity, providing linear-time and quadratic-time schedulability tests based on utilization bounds. Experimental results are finally presented to assess the performance of the presented analysis techniques.