基于Wi-Fi与Web的云计算资源调度算法研究

为缩短云计算执行时间,改善云计算性能,在一定程度上加强云计算资源节点完成任务成功率,需要对云计算资源进行调度;当前的云计算资源调度算法在进行调度时,通过选择合适的调度参数并利用CloudSim仿真工具,完成对云计算资源的调度;该算法在运行时无法有效地进行平衡负载,导致云计算资源调度的均衡性能较差,存在云计算资源调度结果误差大的问题;为此,提出一种基于Wi-Fi与Web的云计算资源调度算法;该算法首先利用自适应级联滤波算法对云计算资源数据流进行滤波降噪,然后以降噪结果为基础,采用本体论对云计算资源进行预处理操作,最后通过人工蜂群算法完成对云计算资源的调度;实验结果证明,所提算法可以良好地应用于云计算资源调度中,有效提高了云计算资源利用率,具有实用性以及可实践性,为该领域的后续研究发展提供了可靠支撑。

Wi-Fi and Web Based Cloud Computing Resource Scheduling Algorithms[JZ)][HS)]

In order to shorten the cloud computing execution time, improve the performance of cloud computing, to a certain extent, strengthen node cloud computing resources to complete the task success, need for cloud computing resource scheduling. The current cloud computing resource scheduling algorithm for scheduling, by choosing appropriate scheduling parameters and using CloudSim simulation tools, complete the cloud computing resource scheduling. The algorithm effectively balance the load at run time, lead to the balance of cloud computing resources scheduling performance is poor, has the problem of great error in the cloud computing resource scheduling results. For this, put forward a Wi-Fi and Web based cloud computing resource scheduling algorithm. The algorithm firstly uses adaptive cascade filtering algorithm for cloud computing resources data stream filtering noise reduction, and then based on the noise reduction result, using ontology to cloud computing resources preprocessing operations, finally by artificial colony algorithm to complete the cloud computing resource scheduling. The experimental results show that the proposed algorithm can be well applied to cloud computing resource scheduling, effectively improve the utilization rate of cloud computing resources, applicable and practical, for the further research in the field of development provides a reliable support.