A Cognac-Glass Algorithm for Conditionally Guaranteed Budgets

R. J. Bril, W. Verhaegh, C. C. Wüst
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引用次数: 15

Abstract

To analyse the schedulability of conditionally guaranteed budgets (CGBs) in the context of fixed-priority preemptive scheduling (FPPS), we present a so-called cognac-glass algorithm (CGA). CGBs have been conceived in the context of software video processing for consumer terminals to exploit the relative importance of applications. CGBs are similar to normal budgets, but are only conditionally guaranteed. This paper presents the schedulability analysis of CGBs under FPPS, based on both best-case and worst-case analysis techniques. We show that because both techniques are used, it is not straightforward to base the analysis on a critical instant. We therefore have to investigate multiple phasings of budgets during the analysis, for which we present a so-called cognac-glass algorithm. We derive that it suffices to consider only a subset of so-called dominating values for the phasing, which improves the efficiency of our algorithm. Given our analysis, we evaluate the effectiveness of CGBs, and conclude that CGBs are particularly useful for software video processing. Finally, we briefly compare our approach for CGBs with existing analysis techniques for hierarchical FPPS, and illustrate that best-case analysis techniques and a CGA can reduce the inherent pessimism in these existing techniques
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条件保证预算的Cognac-Glass算法
为了分析固定优先级抢占调度(FPPS)下条件保证预算(cgb)的可调度性,我们提出了一种所谓的干邑-玻璃算法(CGA)。cgb是在消费者终端软件视频处理的背景下构思出来的,目的是利用应用程序的相对重要性。cgb类似于正常预算,但只有有条件的保证。本文提出了基于最佳情况和最差情况分析技术的FPPS下cgb的可调度性分析。我们表明,由于使用了这两种技术,因此不能直接基于关键时刻进行分析。因此,我们必须在分析过程中调查预算的多个阶段,为此我们提出了一种所谓的干邑杯算法。我们得出只考虑所谓的主导值的一个子集就足够了,这提高了算法的效率。根据我们的分析,我们评估了cgb的有效性,并得出结论,cgb对软件视频处理特别有用。最后,我们简要地比较了我们的cgb方法与现有的分层FPPS分析技术,并说明了最佳案例分析技术和CGA可以减少这些现有技术中固有的悲观情绪
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