WCET Analysis for Preemptive Scheduling
Sebastian Altmeyer, Gernot Gebhard
Abstract
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Sebastian Altmeyer, Gernot Gebhard
Abstract
Open-access reader
Hard real-time systems induce strict constraints on the timing of the task set. Validation of these timing constraints is thus a major challenge during the design of such a system. Whereas the derivation of timing guarantees must already be considered complex if tasks are running to completion, it gets even more complex if tasks are scheduled preemptively -- especially due to caches, deployed to improve the average performance. In this paper we propose a new method to compute valid upper bounds on a task's worst case execution time (WCET). Our method approximates an optimal memory layout such that the set of possibly evicted cache-entries during preemption is minimized. This set then delivers information to bound the execution time of tasks under preemption in an adopted WCET analysis.
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Hard real-time systems induce strict constraints on the timing of the task set. Validation of these timing constraints is thus a major challenge during the design of such a system. Whereas the derivation of timing guarantees must already be considered complex if tasks are running to completion, it gets even more complex if tasks are scheduled preemptively -- especially due to caches, deployed to improve the average performance. In this paper we propose a new method to compute valid upper bounds on a task's worst case execution time (WCET). Our method approximates an optimal memory layout such that the set of possibly evicted cache-entries during preemption is minimized. This set then delivers information to bound the execution time of tasks under preemption in an adopted WCET analysis.
Key concepts: Preemption, Computer science, Worst-case execution time, Scheduling (production processes), Cache, Set (abstract data type), Parallel computing, Task (project management)