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A Discrete DP-Wrap Scheduling Algorithm for Multiprocessor Systems

机译:多处理器系统的离散DP-WRAP调度算法

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摘要

A discrete scheduling algorithm basing on DP-Wrap(DDP) for multiprocessor real-time systems is proposed in this paper. As fairness is a popular concept used in most of the published optimal algorithms(e.g., Pfair, Bfair), many of the scheduling produced by these algorithms leads to much run-time overhead such as preemptions and migrations. Meanwhile, many of the scheduling algorithms(e.g., LLREF, DP-Wrap) adopt a continuous time model, which mismatches the property of real-world digital computer system. Inspired by the DP-fair theory framework, a hierarchical scheduling mechanism is adopted in DDP. At the bottom level, the scheduling is carried out by a global scheduling algorithm basing on discrete time model, while at the top level, tasks are locally scheduled by uniprocessor EDF, which significantly reduces the run-time overhead in that execution pieces of a job can be packed together with a best effort. Analysis and experiment imply that DDP is expectable to outperform the algorithms adopting fairness notion in terms of preemptions and migrations.
机译:本文提出了一种用于基于DP-Wrap(DDP)的离散调度算法,用于多处理器实时系统。作为公平性是在大多数公布的最佳算法中使用的流行概念(例如,Pfair,Bfair),这些算法产生的许多调度都会导致许多运行时间开销,例如抢占和迁移。同时,许多调度算法(例如,LLREF,DP-Wrap)采用连续时间模型,该模型不匹配现实世界数字计算机系统的财产。受到DP-Fair理论框架的启发,DDP采用了分层调度机制。在底部级别,调度由基于离散时间模型的全局调度算法执行,而在顶级级别,任务由单处理器EDF定向调度,这显着降低了作业的执行件中的运行时间开销可以用最好的努力包装在一起。分析和实验意味着DDP期望优于采用抢占和迁移方面采用公平概念的算法。

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