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Direct handling of infeasible paths in the event dependency analysis

机译:在事件相关性分析中直接处理不可行的路径

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While common task models in real-time analysis assume a task as being activated by a single event and producing a single outgoing event after its full completion, the event dependency analysis extended the model to allow for multiple outgoing events to occur already during the run-time of a single job. It uses the structure of a timing-annotated control flow graph to calculate the maximal densities of outgoing events. Previous work has shown that knowledge about infeasible paths in the control flow graph can be used to relax the event densities by modifying the graph prior to performing the event dependency analysis. However, that approach leads to a nearly explicit path enumeration. In this paper, we show how the event dependency analysis can be modified to directly exclude infeasible paths in order to relax the densities of outgoing events.
机译:实时分析中的常见任务模型假设某个任务被单个事件激活并在其完全完成后产生单个传出事件,而事件相关性分析扩展了该模型,以允许在运行期间已经发生多个传出事件,一份工作的时间。它使用带有时序注释的控制流程图的结构来计算传出事件的最大密度。先前的工作表明,在执行事件相关性分析之前,可以通过修改图来使用有关控制流图中不可行路径的知识来放宽事件密度。但是,这种方法导致了几乎明确的路径枚举。在本文中,我们展示了如何修改事件相关性分析以直接排除不可行的路径,以放松传出事件的密度。

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