在线调度,最大限度地完成任务

Sanjoy Baruah, J. Haritsa, Nitin Sharma
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引用次数: 93

摘要

研究了过载条件下的单处理机调度问题。系统的目标是在截止日期前完成任务的数量最大化。对于这个性能度量,通常情况下,与千里眼调度器相比,任何在线算法都可能表现得很差。确定了在线调度程序运行的一般问题的受限实例,以保证性能水平,并为这些特殊情况提出了在线算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-line scheduling to maximize task completions
The problem of uniprocessor scheduling under conditions of overload is investigated. The system objective is to maximize the number of tasks that complete by their deadlines. For this performance metric it is shown that, in general, any on-line algorithm may perform arbitrarily poorly as compared to a clairvoyant scheduler. Restricted instances of the general problem for which on-line schedulers ran provide a guaranteed level of performance are identified, and on-line algorithms presented for these special cases.<>
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