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作 者:李文超 Li Wenchao(Dongying Vocational Institute,Dongying Shandong 257091,China)
机构地区:[1]东营职业学院
出 处:《信息与电脑》2019年第17期27-28,35,共3页Information & Computer
摘 要:在基于物联网的数据监控平台中,由于感知层数据采集传感器具有种类繁多、数量庞大的特点,这就要求位于通信层的数据接收服务器必须通过一种完善的多任务调度算法来处理高并发通信,以缓解服务器的通信压力并保持处理的高效性。笔者以物联网数据监控平台为出发点,探究通过引入EDF多任务调度算法来处理高并发通信,对EDF多任务调度算法的算法原理与调度流程进行了深入分析,并通过设计实验论证算法的有效性。In the data monitoring platform based on the Internet of Things, because the sensing layer data acquisition sensor has a wide variety and a large number of features, this requires that the data receiving server located in the communication layer must be implemented through a sophisticated multi-task scheduling algorithm. The processing of high concurrent communication to alleviate the communication pressure of the server and maintain the efficiency of the processing. Based on the IoT data monitoring platfor m, this paper explores the process of high-concurrent communication by introducing EDF multi-task scheduling algorithm. The algorithm principle and scheduling process of EDF multi-task scheduling algorithm are deeply analyzed, and the experimental demonstration algorithm is designed. Effectiveness.
分 类 号:TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]
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