层次聚类算法在媒体日志分析上的应用

Application of Hierarchical Clustering Algorithm in Media Log Analysis

随着云计算和大数据等技术的快速发展,维护互联网及其软硬件系统的稳定运行、检测和修复潜在异常具有重要意义。日志作为软件系统中的重要组成部分,详细描述了当前系统状态,对日志内容和日志输出特征进行分析,可以判断当前系统的运行状态,预测可能发生的异常,为系统管理人员及时采取对应措施节省出宝贵时间。

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.