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Providing Real-Time Applications With Graceful Degradation of QoS and Fault Tolerance According to$(m, k)$-Firm Model

机译:根据$(m,k)$-企业模型为实时应用提供QoS和容错能力的平滑降级

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The$(m, k)$-firm model has recently drawn a lot of attention. It provides a flexible real-time system with graceful degradation of the quality of service (QoS), thus achieving the fault tolerance in case of system overload. In this paper, we focus on the distance-based priority (DBP) algorithm as it presents the interesting feature of dynamically assigning the priorities according to the system's current state (QoS-aware scheduling). However, DBP cannot readily be used for systems requiring a deterministic$(m, k)$-firm guarantee since the schedulability analysis was not done in the original proposition. In this paper, a sufficient schedulability condition is given to deterministically guarantee a set of periodic or sporadic activities (jobs) sharing a common non-preemptive server. This condition is applied to two case studies showing its practical usefulness for both bandwidth dimensioning of the communication system providing graceful degradation of QoS and the task scheduling in an in-vehicle embedded system allowing fault tolerance.
机译:$(m,k)$-firm模型最近引起了很多关注。它提供了一种灵活的实时系统,并在一定程度上降低了服务质量(QoS),从而在系统过载的情况下实现了容错能力。在本文中,我们将重点放在基于距离的优先级(DBP)算法上,该算法具有有趣的功能,可以根据系统的当前状态动态分配优先级(QoS感知调度)。但是,DBP不能轻易用于需要确定性$(m,k)$-firm保证的系统,因为在原始命题中未进行可调度性分析。在本文中,给出了充分的可调度性条件,以确定性地保证一组共享公共非抢占式服务器的定期或零星活动(作业)。此条件应用于两个案例研究,显示了其对通信系统的带宽确定(可适度降低QoS)和车载嵌入式系统中允许容错的任务调度的实用性。

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