正交通信信道载波均衡故障节点准确挖掘算法

Fault Node Accurately Mining Algorithm Based on Traffic Channel Carrier Balance

大型云计算联合服务器中故障节点的快速挖掘模型构建可以实现对云服务器故障的准确定位和检测。传统方法中采用协议堆栈对节点进行约束与管理,达到故障节点快速挖掘的目的,然而该算法在Sink节点位置部署考虑欠好,在通信传输中很容易相邻节点信道间频谱主瓣重叠,故障节点挖掘性能不好。针对这一问题,提出一种基于正交通信信道载波均衡的云计算联合服务器故障节点快速挖掘算法,建立故障节点信息融合模型,进行特征分析,在信息融合过程中,组成新的云计算联合服务器接收端和发射端故障节点定位训练序列,构建基于OFDM系统的等效基带故障节点挖掘模型,通过正交通信信道载波均衡实现云服务器故障节点的快速挖掘。仿真结果表明,该算法在复杂云计算环境下,能实现对故障节点的准确定位,挖掘性能较高,检测概率较高,优越于传统模型。

Construction of accurate positioning and detection of cloud server fault fast mining model of fault node in largescale cloud computing is important. In the traditional method, using the protocol stack of constraint and management of node, achieve the fault node fast mining purposes, the algorithm is deployed in the position of the Sink node is not properly considered, it is easy to neighboring nodes overlap between channels in the transmission spectrum of main lobe, and fault node mining is not good. Aiming at this problem, a method to calculate the Federation server fault is the traffic channel carrier equilibrium cloud is proposed based on fast mining algorithm, a node fault information fusion model is obtained, the characteristic analysis of the information is taken, the fusion process is taken, the new cloud computing server receiving end and the transmitting end fault localization training sequence mining, the equivalent baseband model of fault node based on OFDM system is constructed, the communication channel carrier is balanced in fast mining cloud server failure node.The simulation results show that, the algorithm can realize the accurate location of fault node, mining performance is good,probability of detection is increased, it is superior to the traditional model.