现代信息科技2023，Vol.7Issue(23)：57-60,4.DOI:10.19850/j.cnki.2096-4706.2023.23.012
基于Hadoop的分布式日志分析系统设计与实现
Design and Implementation of Distributed Log Analysis System Based on Hadoop
周德 1杨成慧 1罗佃斌1
作者信息
- 1. 西北民族大学 电气工程学院,甘肃 兰州 730030
- 折叠
摘要
Abstract
Network log analysis is one of the important tasks to ensure the stable operation and fault detection of monitoring system.However,log files often contain a massive amount of data with complex formats,making manual processing difficult.In this context,we have researched the design and implementation of a network log analysis system based on the Hadoop distributed computing framework.By breaking down the data into smaller chunks and parallel processing them across multiple computers,we significantly improve the speed and efficiency of data processing.The system utilizes the MapReduce programming model of Hadoop to parse and process network log data.The experimental results demonstrate that this system has a higher data processing speed and scalability compared to traditional method,proving its effectiveness and practicality.关键词
网络日志/Hadoop平台/分布式计算/MapReduce/日志分析Key words
network log/Hadoop platform/distributed computing/MapReduce/log analysis分类
信息技术与安全科学引用本文复制引用
周德,杨成慧,罗佃斌..基于Hadoop的分布式日志分析系统设计与实现[J].现代信息科技,2023,7(23):57-60,4.
