物联网感知层节点任务分布式调度算法研究  

Research on Distributed Scheduling Algorithm of IoT Perception Layer Node Task

作　　者：黄志武 Huang Zhiwu(School of Computer and Information Science,Hubei Engineering University,Xiaogan Hubei 432000,China)

机构地区：[1]湖北工程学院计算机与信息科学学院

出　　处：《信息与电脑》2019年第20期28-29,共2页Information & Computer

基　　金：湖北省教育厅科学技术研究项目“非对称的物联网节点任务负载量的分配系统设计”（项目编号：B2019145）

摘　　要：针对传统节点任务调度效率低的问题,笔者设计了物联网感知层节点任务分布式调度算法。通过选取任务节点,本算法减少任务集中出现在同一节点的情况,构建任务调度机制,提高调度过程中的资源整合能力。为保证调度的实时性需求,该算法设定调度时间约束,以此完成物联网感知层节点任务分布式调度。实验结果表明,该算法节点任务分布式调度的效率比传统算法效率高,具有实际应用意义。Aiming at the low efficiency of traditional node task scheduling,the author designed a distributed scheduling algorithm for the IoT perception layer node task.By selecting the task node,the algorithm reduces the situation that the task set appears on the same node,constructs the task scheduling mechanism,and improves the resource integration capability in the scheduling process.In order to ensure the real-time requirements of the scheduling,the algorithm sets the scheduling time constraint,so as to complete the distributed scheduling of the task nodes of the Internet of Things sensing layer.The experimental results show that the efficiency of distributed scheduling of node tasks is more efficient than traditional algorithms,and it has practical application significance..

关 键 词：物联网感知层 任务调度机制 节点任务分布式调度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]