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A Dynamic Priority Task Scheduling Algorithm for Mpsoc

机译:Mpsoc的动态优先级任务调度算法

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Now the task scheduling method based on the priority, some algorithms are based on task value and deadline constraints as scheduling criteria. Some algorithms use time and performance as scheduling criteria, but most are for static homogeneous multi-core or static heterogeneous multi-core environment, there are no better research results in the field of dynamic priority task scheduling for Many-core Processor System-on-Chip (MPSoC). In this paper, we propose a dynamic priority task scheduling algorithm DPS-UCS. First, based on the task's virtual core granularity and task run time, at the some time, considering the two factors, which are the unrealized value of the task and the time urgency, we give the dynamic priority assignment strategy. Finally, we use the DPS-UCS algorithm to compare with the mainstream algorithm in static multi-core and static heterogeneous multi-core environment, experimental results show that DPS-UCS has some advantages in terms of the success rate and the completion time.
机译:现在基于优先级的任务调度方法,一些算法是以任务值和期限约束为调度标准。有些算法使用时间和性能作为调度标准,但是大多数算法是用于静态同构多核或静态异构多核环境,因此,在多核处理器系统上的动态优先级任务调度领域没有更好的研究结果。芯片(MPSoC)。本文提出了一种动态优先级任务调度算法DPS-UCS。首先,基于任务的虚拟核心粒度和任务运行时间,在某些时候,考虑任务的未实现价值和时间紧迫性这两个因素,我们给出了动态优先级分配策略。最后,我们将DPS-UCS算法与静态多核和静态异构多核环境下的主流算法进行了比较,实验结果表明DPS-UCS在成功率和完成时间上均具有一定优势。

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