Real-time monitoring of communication networks based on cloud computing

When creating a communication network, various obstacles inevitably arise that negatively affect its effectiveness. The lack of measures to eliminate such interference makes it difficult to optimize the network. Among the problems caused by interference, the problem of blocking them is one of the most significant. This unresolved issue may make successful network design impossible. In order to solve the problems that the traditional method has a long response time to monitor the congestion of the communication network and the detection effect is not ideal, a real-time monitoring method based on cloud computing for blocking the communication network is proposed. Firstly, a communication network monitoring point is established, and the receiver completes the communication data collection process. Based on the collected data, continuous traffic calculation is performed to determine whether there is an emergency blocking state in the communication network channel and determine the exact location of the blocking point. In this way, the information generates an alarm message to obtain the monitoring results. The real-time running time and the accuracy of the monitoring method are experimentally analyzed. It is found that the monitoring method can control the delay time within 0.2 s, and the monitoring error rate is low.

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