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Scheduling with uncertain processing times in mixed-criticality systems

机译:在混合关键性系统中的不确定处理时间调度

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Many scheduling problems that can be identified inside safety-critical applications, such as in autonomous cars, tend to be mixed-critical. Such scheduling problems consider tasks to have different criticalities depending on the safety levels (activation of brakes vs. activation of air-conditioning). The biggest challenge in those scheduling problems arises from the uncertainty of processing times as it disturbs the predictability of the system and thus makes the certification of the system difficult. To overcome this uncertainty, we model the tasks to have multiple processing times concerning their criticality. This approach converts these scheduling problems into a deterministic scheduling with alternative processing times.
机译:可以在安全关键的应用程序中识别的许多调度问题,例如在自动车辆中,往往是混合关键的。 根据安全水平,这样的调度问题考虑具有不同关键性的任务(制动器对空调的激活)。 这些调度问题中的最大挑战是由于处理时间的不确定性而产生的,因为它扰乱了系统的可预测性并因此使系统认证难以实现。 为了克服这种不确定性,我们模拟了有关其关键性的多次处理时间的任务。 该方法将这些调度问题转换为具有替代处理时间的确定性调度。

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