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

作　　者：周德 杨成慧[1] 罗佃斌 ZHOU De;YANG Chenghui;LUO Dianbin(College of Electrical Engineering,Northwest Minzu University,Lanzhou 730030,China)

机构地区：[1]西北民族大学电气工程学院,甘肃兰州730030

出　　处：《现代信息科技》2023年第23期57-60,共4页Modern Information Technology

摘　　要：网络日志解析是确保监控系统稳定运行和检测故障的重要任务之一。然而,日志文件的数据量庞大,数据格式也相对复杂,难以手动处理。在此背景下,对基于Hadoop分布式计算框架的网络日志分析系统的设计和实现进行了研究,通过将数据分解成块,并通过多台计算机并行处理数据块来提高数据处理速度和效率。系统使用了Hadoop的MapReduce编程模型来实现网络日志数据的解析和处理。实验结果表明,相比传统方法,该系统具有更高的数据处理速度和可伸缩性,证明其有效性和实用性。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 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]