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Improved DAG Tasks Stretching Algorithm Based on Multi-core Processors

机译:基于多核处理器的改进DAG任务扩展算法

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The performance of multi-core real-time operating system is greatly affected by the quality of tasks scheduling algorithm. Directed acyclic graph (DAG) task model can better represent the dependency between subtasks in multi-core realtime system. However, the scheduling algorithm previously applied to independent sequential tasks is no longer suitable for this kind of tasks, the efficient DAG tasks scheduling algorithm has become the current research hotspot. This paper discusses the stretching algorithm with excellent performance, and on the basis of the stretching algorithm, an improved stretching algorithm is proposed to overcome its shortcoming of ignoring dependence between subtasks. The performance optimization is verified by simulation experiments.
机译:任务调度算法的质量极大地影响了多核实时操作系统的性能。有向无环图(DAG)任务模型可以更好地表示多核实时系统中子任务之间的依赖关系。然而,以前应用于独立顺序任务的调度算法已不再适合此类任务,高效的DAG任务调度算法已成为当前研究的热点。本文对性能优良的扩展算法进行了讨论,在扩展算法的基础上,提出了一种改进的扩展算法,以克服其忽略子任务之间依赖性的缺点。通过仿真实验验证了性能优化。

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