On-line real-time task scheduling on partitionable multiprocessors

P. Mohapatra, ByungJun Ahn, Jianping Shi
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引用次数: 1

Abstract

Multiprocesssor systems have emerged as an important computing means for real-time applications and have received increasing attention than before. However until now, little research has been done on the problem of on-line scheduling of parallel tasks with deadlines in partitionable multiprocessor systems. In this paper, we propose a new on-line scheduling algorithm, called Deferred Earliest Deadline First (DEDF) for such systems. The main idea of the DEDF algorithm is to defer the scheduling as late as possible, so that a set of jobs is scheduled at a time instead of one at a time. For processor allocation using DEDF, we have introduced a new concept-Available Time Window (ATW). By using ATW the system utilization can be improved and thereby enabling the system to meet the deadline of more number of tasks. Simulation results for a hypercube indicate that the DEDF algorithm performs significantly better than the earlier proposed Buddy/RT and Stacking algorithms for a wide range of work loads.
可分区多处理机在线实时任务调度
多处理器系统作为一种重要的实时应用计算手段,越来越受到人们的重视。然而,到目前为止,对可分区多处理机系统中带时限并行任务的在线调度问题的研究还很少。本文针对这类系统提出了一种新的在线调度算法——延迟最早截止日期优先(DEDF)算法。DEDF算法的主要思想是尽可能延迟调度,以便一次调度一组作业,而不是一次调度一个作业。对于使用DEDF的处理器分配,我们引入了一个新概念——可用时间窗口(ATW)。通过使用ATW,可以提高系统利用率,从而使系统能够满足更多任务的截止日期。超立方体的仿真结果表明,在大范围的工作负载下,DEDF算法的性能明显优于先前提出的Buddy/RT和Stacking算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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