2010Unpublished venueRequires access

Research and improvement of rate-monotonic scheduling algorithm

Li Xueqiao, Shuang Liang, Yuan Chen

Open publisher page 1 citations

Abstract

The rate-monotonic scheduling algorithm is a static scheduling algorithm for periodic tasks, but the classic rate-monotonic scheduling algorithm only determines the task's priority by its period, the deadline of long period and important tasks can not be guaranteed. Here, a new static scheduling algorithm called DPSS. The integrated priority tasks obtained by calculating the two parameters-running time and importance, and at last the integrated priority will be classified by grouping. Through theoretical analysis and experimental results analysis, the method reduces the task deadline missing ratio, and could be more effective in real-time task scheduling.

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What this paper is about

The rate-monotonic scheduling algorithm is a static scheduling algorithm for periodic tasks, but the classic rate-monotonic scheduling algorithm only determines the task's priority by its period, the deadline of long period and important tasks can not be guaranteed. Here, a new static scheduling algorithm called DPSS. The integrated priority tasks obtained by calculating the two parameters-running time and importance, and at last the integrated priority will be classified by grouping. Through theoretical analysis and experimental results analysis, the method reduces the task deadline missing ratio, and could be more effective in real-time task scheduling.

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Available abstract

The rate-monotonic scheduling algorithm is a static scheduling algorithm for periodic tasks, but the classic rate-monotonic scheduling algorithm only determines the task's priority by its period, the deadline of long period and important tasks can not be guaranteed. Here, a new static scheduling algorithm called DPSS. The integrated priority tasks obtained by calculating the two parameters-running time and importance, and at last the integrated priority will be classified by grouping. Through theoretical analysis and experimental results analysis, the method reduces the task deadline missing ratio, and could be more effective in real-time task scheduling.

Key concepts: Earliest deadline first scheduling, Computer science, Rate-monotonic scheduling, Dynamic priority scheduling, Deadline-monotonic scheduling, Fair-share scheduling, Monotonic function, Fixed-priority pre-emptive scheduling

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