物联网资源负载均衡共享有效调度仿真

发布时间：2018-08-09 07:11

【摘要】：对物联网资源负载进行均衡共享,能够有效提高物联网资源利用率。对资源负载的均衡共享,需要根据负载不均衡情况,采用物联网虚拟机质量函数改进信息素的更新,完成对物联网资源负载的调度。传统方法通过物联网资源任务与资源匹配度函数来改进启发信息,但忽略了改进资源信息素的更新,导致调度效果不理想。提出基于蚁群算法的物联网资源调度优化方法。首先考虑物联网虚拟机的各种开销和因素,调整物联网各个虚拟机的状态,依据物联网历史的资源负载数据和当前负载状况来计算和调整物联网各个资源的调度,实现物联网资源的动态调度,针对物联网虚拟机的负载不均等情况进行改善,采用物联网虚拟机质量函数改进信息素的更新,实现物联网资源负载均衡共享调度。实验结果表明,所提方法在任务执行时间方面具有明显优势,有效保持了物联网虚拟机的资源负载均衡共享。
[Abstract]:A balanced sharing of the resource load of the Internet of things can effectively improve the resource utilization of the Internet of things. The balance sharing of the resource load should be based on the unbalance of the load, the updating of the pheromone is improved by the quality function of the Internet of things virtual machine, and the scheduling of the resource load of the Internet of things is completed. The traditional method is based on the task and capital of the Internet of things resources. The source matching function is used to improve the heuristic information, but the update of the resource pheromone is ignored. The scheduling effect is not ideal. The optimization method of resource scheduling for IOT based on ant colony algorithm is proposed. Firstly, the various overhead and factors of the IOT virtual machine are considered, the state of each virtual machine in the Internet of things is adjusted, and the resources of the Internet of things are based on the resources of the Internet of things. Load data and current load status are used to calculate and adjust the scheduling of various resources in the Internet of things, to realize dynamic scheduling of the resources of the Internet of things, to improve the load inequality of the virtual machine in the Internet of things, to update the pheromone of the Internet of things virtual machine quality function and to realize the sharing scheduling of the resource load balancing of the Internet of things. The results show that the proposed method has obvious advantages in task execution time and effectively maintains resource load balancing and sharing of Internet of Things virtual machines.
【作者单位】：扬州大学信息工程学院;
【分类号】：TN929.5;TP18;TP391.44

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