物联网资源负载均衡共享有效调度仿真

Simulation of Efficient Scheduling of Resource Load Sharing in IOT

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。

An optimization method of resource scheduling in Internet of things is proposed based on ant colony al- gorithm. Firstly, various expenses and factors of virtual machine in Internet of things are considered, and the state of each virtual machine in Internet of things is adjusted. And then, the scheduling of resources in Internet of things is calculated and adjusted according to the historical resource load data and current load condition in Internet of things, so as to achieve the dynamic scheduling of resources in Internet of things. Moreover, due to the load inequality for virtual machines in Internet of things, the quality function of virtual machine of the Internet of things is used to im- prove the update of pheromones, so as to realize the scheduling of resource load and balanced sharing. Simulation re- sult shows that the proposed method has obvious advantages in task execution time, and effectively maintains the re- source load and balanced sharing of the virtual machine in Internet of things.