Design of mathematical model of ship communication network traffic estimation based on big data statistics
Estimating the traffic of ship communication network can better understand the network performance,help to optimize the network configuration,improve the performance and reliability of ship communication network,and ensure the smooth communication during ship navigation.Therefore,a mathematical model of ship communication network traffic es-timation based on big data statistics is designed to improve the effect of network traffic estimation.C-C algorithm is used to calculate the delay time of ship communication network traffic,and G-P algorithm is used to calculate the embedded dimen-sion of ship communication network traffic.According to the delay time and embedded dimension,the original ship commu-nication network traffic time series data is converted to obtain the multi-dimensional ship communication network traffic time series data.Map mechanism is used to assign data subset to the extreme learning machine on each node,and the math-ematical model of ship communication network traffic estimation is established.The reduce mechanism is used to summar-ize all the mathematical models of network traffic estimation and get the final network traffic estimation result.Experimental results show that the model can effectively determine the delay time and embedding dimension,which are 5 min and 6D re-spectively.This model can accurately estimate the traffic of ship communication network.
big data statisticsship communicationnetwork traffic estimationmathematical modeldelay timeembedded dimension
万方数据
维普
