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On-line Algorithms for Real-Time Task Scheduling on Multiprocessor Systems

机译:多处理器系统上实时任务调度的在线算法

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Most multimedia applications require real-time tasks to meet their deadlines. For large web servers, multiprocessor support is indispensable to handle the large number of requests. Existing on-line scheduling algorithms such as Earliest Deadline First Algorithm (EDF) and Least Laxity Algorithm (LLA) may not be suitable for scheduling realtime tasks in multiprocessor systems. We propose a new on-line scheduling algorithm Earliest Deadline until Zero Laxity (EDZL). We show that EDZL is a suboptimal for two processors. Experimental results show that EDZL has low context switching overhead and low deadline miss rate.
机译:大多数多媒体应用程序需要实时任务来满足其截止日期。对于大型Web服务器,多处理器支持对于处理大量请求必不可少。现有的在线调度算法,例如最早截止日期优先算法(EDF)和最低延迟算法(LLA),可能不适合在多处理器系统中调度实时任务。我们提出了一种新的在线调度算法,即最早的截止日期直到零延迟(EDZL)。我们显示EDZL对于两个处理器而言不是次优的。实验结果表明,EDZL具有较低的上下文切换开销和较低的截止期限未命中率。

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