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Schedulability Analysis for Real-Time Task Set on Resource with Performance Degradation and Periodic Rejuvenation

机译:具有绩效劣化和周期性的资源实时任务的调度分析

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Most schedulability analyses in the literature assume that the performance of computing resource does not change over time. However, due to ever increased complexity of computer systems, software aging issues become more difficult, if not impossible, to eradicate. Hence, the assumption that computing resource has a constant performance in its entire lifetime does not hold in real world long-standing systems. In this paper, we study real-time task schedulability under a resource model that the resource's performance degrades with a known degradation function and the resource is periodically rejuvenated. The resource model is referred to as P2-resource model for performance degradation and periodic rejuvenation. We address three real-task schedulability related questions under the P2-resource model, i.e., (1) resource supply bounds of the P2-resource, (2) task set utilization bounds under Earliest Deadline First (EDF) and Rate Monotonic (RM) scheduling policies, respectively, and (3) experimentally study the tightness of the bounds developed, and the impact of resource degradation rate, rejuvenation period, and rejuvenation cost on the bounds.
机译:文献中的大多数调度性分析假设计算资源的性能不会随时间而变化。然而,由于计算机系统的复杂性增加,软件老化问题变得更加困难,如果不是不可能的话,根除。因此,计算资源在其整个寿命中具有恒定性能的假设不会在现实世界的长期系统中保持。在本文中,我们下一个资源模型,与已知的降解功能和资源的资源的性能下降是周期性返老还童研究实时任务调度。资源模型被称为P2资源模型,用于性能下降和周期性的复兴。我们解决了P2-资源模型下三个实任务调度相关的问题,即,(1)在P2-资源的资源供应范围,(2)根据最早时限优先(EDF)和速率单调任务的一组利用率界限(RM)调度策略,分别与(3)实验研究开发边界的密封性好,资源退化率,缓苗期,振兴成本的上边界的影响。

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