Load balancing real-time periodic task scheduling algorithm for multiprocessor enviornment

Divya Jain, S. Jain
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引用次数: 3

Abstract

With phenomenal growth of distributed real time control system in high speed applications, the usage of multiprocessor system has become essential. In order to obtain performance benefits from the resources available in multiprocessor system, real time task have to coordinate and share resources to their maximum use. Load balancing amongst processors of multiprocessing system is one of the most important issues for task scheduling. The processors working on balanced load perform better compared to unbalanced load in terms of response time and resource utilization. Heat dissipation on individual processor is also reduced. In this paper, we propose an algorithm named LBPSA (Load Balanced Partitioning and Scheduling Algorithm) that offers load balancing amongst processors. The algorithm uses an upper threshold, a lower threshold and average utilization of processors for load balancing. Evaluations show that it offers good and almost stable load mean square error under all load conditions. Further the concept is enhanced to generalize it, so that it can be applied on other partition algorithm for incorporating load balancing.
多处理器环境下的负载均衡实时周期性任务调度算法
随着分布式实时控制系统在高速应用中的迅猛发展,多处理器系统的应用已成为必然。在多处理器系统中,为了从可用资源中获得性能优势,实时任务必须协调和共享资源,以最大限度地利用资源。多处理系统中处理器间的负载平衡是任务调度的重要问题之一。在响应时间和资源利用率方面,工作在平衡负载上的处理器比工作在不平衡负载上的处理器性能更好。单个处理器的散热也减少了。在本文中,我们提出了一种名为LBPSA(负载均衡分区和调度算法)的算法,它提供了处理器之间的负载平衡。该算法使用上阈值、下阈值和处理器的平均利用率来实现负载均衡。评估结果表明,该方法在所有负载条件下均方误差都很好且几乎稳定。进一步对该概念进行了增强,使其一般化,从而可以应用到其他分区算法中,以实现负载均衡。
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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