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A Sub-Optimal On-Line Scheduling Algorithm with Scheduling Window

机译:带有调度窗口的次优在线调度算法

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The complexities of many previous scheduling algorithms for IRIS tasks are too high to apply them to practical systems handling many tasks. The high complexities stem from the fact that the algorithms perform scheduling on all tasks in a system, producing an optimal solution. As a way to reduce the complexity of scheduling, we propose a heuristic on-line scheduling algorithm that schedules the IRIS tasks only in a scheduling window, producing a sub-optimal solution. A scheduling window contains W important tasks determined by a selection policy. The performance of the proposed algorithm is verified by simulation.
机译:先前许多用于IRIS任务的调度算法的复杂性太高,无法将其应用于处理许多任务的实际系统。高度复杂性源于以下事实:算法对系统中的所有任务执行调度,从而产生最佳解决方案。为了降低调度的复杂性,我们提出了一种启发式的在线调度算法,该算法仅在调度窗口中调度IRIS任务,从而产生次优的解决方案。调度窗口包含由选择策略确定的W个重要任务。仿真验证了所提算法的性能。

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