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Deadline-Constrained Tasks' Scheduling in Multi-core Systems Using Harmonic-Aware Load Balancing

机译:使用谐波感知负载平衡的多核系统中的截止日期约束任务调度

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摘要

In highly advanced real-time critical applications, the demand of multi-core processing is increasing as the tasks are assigned to cores in the most balanced manner. The balancing of tasks on the cores requires an efficient load balancing algorithm. To balance the loads amongst the cores, all harmonic tasks can be grouped together and shall be assigned on a single core. The concept of harmonic task set is effective as it tends to reach a utilization of one, and thus, the system achieves a higher utilization. The proposed paper is focused on harmonic-aware load balancing algorithm for a set of periodic real-time tasks having constrained deadlines, where the deadline of the tasks is less than the period of the tasks. The extensive analysis was performed to establish the superiority of harmonic task sets in real-time applications. The results of this analysis are reported in this paper. It was observed that by considering the tasks’ harmonic relationship, the proposed load balancing approach greatly improves the feasibility of real-time tasks on a multi-core processor to meet their deadlines.
机译:在高度高级的实时关键应用中,随着任务以最平衡的方式分配给核心,多核处理的需求越来越大。核心上的任务的平衡需要一个有效的负载平衡算法。为了平衡核心之间的负载,所有谐波任务都可以分组在一起,应在单个核心上分配。谐波任务集的概念由于它倾向于达到一个,因此,该系统实现了更高的利用率。该提出的文件专注于谐波感知负载均衡算法,用于具有约束截止日期的一组周期性实时任务,其中任务的截止日期小于任务的时期。进行了广泛的分析,以确定实时应用中谐波任务集的优越性。本文报道了该分析的结果。观察到,通过考虑任务的谐波关系,所提出的负载平衡方法大大提高了多核处理器上实时任务的可行性,以满足其截止日期。

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