摘要
对交互式网络信息进行应急调度,能够使交互式网络稳定、有序运行。云计算分析下交互式网络信息的应急调度,需要确定信息应急调度的适应度函数,对其收益和位置进行更新,完成交互式网络信息应急调度。传统方法对网络信息进行阈值检测,对信息大小流进行区分,但忽略了对应急信息的收益和位置进行更新,导致信息应急调度效果不理想。提出基于粒子群优化算法的云计算分析下交互式网络信息应急调度方法。建立交互式网络信息应急调度的数学模型,并对调度的完成时间和计算费用进行分析。通过对交互式网络信息进行初始化,确定交互式网络信息应急调度的适应度函数,对交互式网络信息的收益和位置进行更新,并对其参数进行进一步调整,降低调度的耗时。实验结果表明,所提方法能够快速对交互式网络信息数据进行传输,交互式网络信息应急调度的耗时更短。
An interactive network information emergency scheduling method based on particle swarm optimization in cloud computing analysis is proposed. Firstly, the mathematical model of interactive network information emergen- cy scheduling is established, and then the completion time and calculation cost are analyzed. Through initializing the interactive network information, the fitness function of emergency scheduling of interactive network information is de- termined. Moreover, the income and location of interactive network information are updated, and its parameters are adjusted to reduce the time consuming of scheduling. Experimental results prove that the proposed method can quickly transfer the interactive network information data, which takes less time in the interactive network information emergency scheduling.
出处
《计算机仿真》
北大核心
2018年第3期393-396,共4页
Computer Simulation
关键词
云计算分析
交互式网络
信息调度
Cloud computing analysis
Interactive network
Information scheduling
