Security Scheduling Method of Cloud Network Big Data Cluster Based on Association Rule Algorithm

Abstract

AbstractIn order to avoid unreasonable deployment and realize the orderly deployment of big data cluster nodes, a cloud network big data cluster security scheduling method based on association rule algorithm is proposed. According to the execution steps of association rule mining algorithm, the connection form of hadoop/mapreduce framework is determined, and then the security mapping conditions are jointly solved to complete the security performance analysis of cloud network based on association rule algorithm. Combine the obtained big data information parameters, set the link bandwidth time list structure, and solve the specific value of packet routing index according to the connection form of SDN scheduling system. The experimental results show that the cloud network big data information migration amount of the method in this paper reaches 6.50 × 107 MB, and the continuous occupation time of cluster nodes is less than 0.7 ms, which increases the unit migration amount of big data information and reduces the continuous occupation time of cluster nodes. It can solve the problem of unreasonable allocation of information parameters and realize the orderly deployment of big data cluster nodes.KeywordsAssociation rule algorsithmCloud networkBig data clusterSafety dispatchingMining confidenceLink bandwidth time list