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Fast Real-Time Job Selection with Resource Constraints Under Earliest Deadline First

机译:最早截止日期下的资源限制的快速实时工作选择

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The Stack Resource Policy (SRP) is a real-time synchronization protocol suitable for embedded systems for its simplicity. However, if SRP is applied to dynamic priority scheduling, the runtime overhead of job selection algorithms could affect the performance of the system seriously. To solve the problem, a job selection algorithm was proposed that uses a selection tree as a scheduling queue structure. The proposed algorithm selects a job in O([log_2n]) time, resulting in significant reduction in the run-time overhead of scheduler. In this paper, the correctness of the job selection algorithm is presented. Also, the job selection algorithm was implemented in GSM/GPRS handset with ARM7 processor to see its effectiveness on embedded systems. The experiments performed on the system show that the proposed algorithm can further utilize the processor by reducing the scheduling overhead.
机译:堆栈资源策略(SRP)是适用于其简单性的嵌入式系统的实时同步协议。但是,如果SRP应用于动态优先级调度,则作业选择算法的运行时开销可能严重影响系统的性能。为了解决问题,提出了一种使用选择树作为调度队列结构的作业选择算法。所提出的算法在O([log_2n])时间中选择作业,导致调度器的运行时间开销显着降低。本文介绍了作业选择算法的正确性。此外,作业选择算法在具有ARM7处理器的GSM / GPRS手机中实现,以在嵌入式系统上看到其有效性。对系统执行的实验表明,该算法可以通过减少调度开销来进一步利用处理器。

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