Cloud Computing in Real-time Alarm Information Push of DingTalk Platform

In recent years, real-time alarm information push technology has achieved rapid development. With the continuous maturity of the browser platform, the application of real-time alarm information will continue to advance. The research purpose of this paper is to study the application of cloud computing in real-time alarm information push of Dingding platform. First, it introduces the definition of cloud computing and the current research mainstream cloud computing platforms, then focuses on the distributed architecture of the Hadoop open source cloud computing platform, and introduces two key elements of the Hadoop architecture, the distributed MapReduce computing model and distributed HDFS files system. Finally, the specific design idea of the improved PrefixSpan algorithm based on the distributed programming model of the cloud computing platform MapReduce and the analysis of the performance results of the improved algorithm are introduced in detail. The experimental results show that the SK2 algorithm has the highest accuracy rate, because the alarm Bayesian network topology obtained by the algorithm is closer to the logical topology of the network.