Smart Home Appliance Parallel Scheduling Using MPI

Sumita Acharya, Motahar Reza
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引用次数: 1

Abstract

This paper investigates an efficient and profoundly determinable parallel algorithm that can manage synchronous scheduling of home appliances in various households. In order to enable this, we need a smart scheduling methodology that can handle complex workloads. We here present an adequate algorithm that can effectively balance multiple loads in various households. Basically, it equips the message passing interface's quintessential feature, IPC ie., inter-process-communication and MPI basic functions like MPI_Beast, MPI_Scatter, MPI_Barrier etc., that adequately sends data stored in a temporary memory of a process source to all other synchronous processes(appliances) in the group for dynamic synchronization. This algorithm best fits those assignments that involve huge and consecutive data transfer.
基于MPI的智能家电并行调度
本文研究了一种高效且深度可确定的并行算法,该算法可以管理多户家庭的家用电器同步调度。为了实现这一点,我们需要一种能够处理复杂工作负载的智能调度方法。我们在这里提出了一个适当的算法,可以有效地平衡多个家庭的多个负载。基本上,它配备了消息传递接口的典型特性,即IPC。,进程间通信和MPI基本功能,如MPI_Beast, MPI_Scatter, MPI_Barrier等,它们充分地将存储在进程源临时内存中的数据发送到组中所有其他同步进程(设备)进行动态同步。该算法最适合那些涉及大量连续数据传输的任务。
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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