A Large Cloud Computing Fault Node Localization Multi- server Environment Simulation

More accurate positioning server failure node cloud computing environment is related to the safety of the equipment. In a cloud computing environment,a large number of different encoding rules of the server work at the same time,the formation of a single server server nodes,because of the different encoding rules,server nodes,and strong differences between the traditional server failure node positioning model is based on the same server unified under the rules of coding feature comparison,on the basis of complete fault location,once the server is different rules,positioning to distinguish,positioning result is bad. Based on particle swarm single search algorithm in cloud computing server failure node positioning method. To extract different servers in the cloud computing network fault node,to calculate weight of the corresponding characteristics,and the feature extraction of error compensation,to differentiate the fault feature extraction. According to the above characteristics,constructs the initial particle swarm,calculate the renewal speed of particles and spatial location,search the optimal solution,the fault features is fault node. Experimental results show that the improved algorithm in cloud computing fault node localization,can greatly improve the positioning accuracy,the quantity is more,the server server nodes between differences,this advantage is more obvious.