物联网中共享资源数据调度方法的研究

发布时间：2018-06-27 00:29

本文选题：资源调度 + 物联网　；参考：《计算机仿真》2017年01期

【摘要】：对物联网共享资源数据进行合理调度,可以减少冗余数据,提高物联网络性能。在进行共享资源数据调度时,需要构建数据约束函数,对共享资源数据进行上下界的约束,而传统的共享队列算法是将数据资源请求提交到某个线程队列中进行调度,没有设定数据资源上下界约束条件,导致某个队列中出现数据拥塞,而另一队列没有数据的情况,降低了数据调的有效性。提出TD算法的物联网中共享资源数据进行调度,其中提出调度共享资源的上下界约束条件对将共享资源数据划分为不同的状态,在此基础上建立物联网中共享资源数据调度模型,将模型中的执行节点按计算能力进行划分,利用向上排序值计算方法将各个共享资源调度任务进行排序,选取具有调度任务完成时间的最小值作为当前任务分配的节点,有效的完成了物联网中共享资源数据调度。仿真结果证明,TD算法在物联网共享资源数据调度中能够大幅度的提升物联网络中共享资源数据调度的公平性与合理性。
[Abstract]:The rational scheduling of the shared resource data of the Internet of things can reduce redundant data and improve the performance of the network. In the process of sharing resource data scheduling, the data constraint functions need to be constructed to restrict the upper and lower bounds of the shared resource data, while the traditional shared queuing algorithm is to submit the data resource request to a thread queue. In scheduling, there is no set of constraints on the upper and lower bounds of data resources, which leads to the occurrence of data congestion in one queue, while the other queue has no data, which reduces the validity of the data transfer. The sharing resource data of the TD algorithm is scheduled, and the upper and lower bound constraints of the scheduling shared resources are proposed to share the resources. The data is divided into different states. On this basis, the sharing resource data scheduling model in the Internet of things is set up, the execution nodes in the model are divided according to the calculation ability, and the scheduling tasks of each shared resource are sorted by the upward sort value calculation method, and the minimum value of the completion time of the scheduling task is selected as the current task. The matching nodes effectively complete the shared resource data scheduling in the Internet of things. The simulation results show that the TD algorithm can greatly improve the fairness and rationality of sharing resource data scheduling in the IOT network with the shared resource data scheduling of the IOT.
【作者单位】：南京林业大学信息中心;
【分类号】：TP391.44;TN929.5

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