Application of Hierarchical Clustering Algorithm in Media Log Analysis
With the rapid development of cloud computing and big data technologies,it is of great significance to maintain the stable operation,detection,and repair of potential anomalies of the Internet and its software and hardware systems.As an important component of a software system,logs provide a detailed description of the current system status.By analyzing the log content and output characteristics,it is possible to determine the current system's operating status,predict potential anomalies,and save valuable time for system management personnel to take timely corresponding measures.
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