大数据背景下的数据通信调度方法研究

摘要

大数据背景下,传统数据通信调度方法研究由于预测要素引入面窄、预测算法逻辑同意性差,导致数据调度出现数据调度断层现象;针对上述问题,提出大数据背景下数据通信调度3+1集成法设计;采用3+1集成法,通过CPU信号强度波动算法、处理器数据节点动态数检测技术、电频信号转换算法与快速执行代码,解决传统的数据通信调度过程中的数据响应慢、数据调度断层的问题;通过仿真实验证明,提出的大数据背景下数据通信调度3+1集成法具有数据调度速度快、资源开销小、调度数据准确度高的特点.%Under the background of big data,the traditional data communication scheduling method due to predict elements into the narrow,agreed to poor prediction algorithm logic,led to data dispatching appears data scheduling fault phenomenon.Aiming at these problems,puts forward big data background data communication scheduling 3 + 1 integration means design.Using 3 + 1 integration means,through the CPU signal intensity fluctuation,processor,the node number of dynamic data detection technology,the electric frequency signal conversion algorithm with fast executing code,solve the traditional data communication scheduling in the process of data and fault data scheduling problem.Through the simulation test proves that the proposed big data background data communication scheduling 3 + 1 integration means has a fast data scheduling,small resource costs,high accuracy scheduling data.