提出了一种新的流量预测算法(Prediction algorithm based-FARIMA model for Breakdown
PFB).该算法首先利用排队理论推导了存在失效节点时流量平均队长的数学表达式
并结合FARIMA模型建立了预测方法.同时
通过数学仿真分析了平均队长与服务率等影响因素之间的关系.实验结果表明该算法具有较好的适应性
与原始流量的标准差为12.13.
Abstract
In order to mitigate the performance problem by network node breakdown
a novel traffic prediction algorithm(Prediction algorithm based-FARIMA model for Breakdown
PFB) is proposed.At first
the mathematic formula for average queue length in steady state is derived with queuing theory in this algorithm
and the prediction method is established by FARIMA Model.Then
a simulation was conducted to research on the relationships between average queue length and service rate.The result shows that it has good adaptability
and the standard deviation between prediction traffic and original traffic is 12.13.