基于大数据算法的网络故障诊断与智能运维系统设计
Design of a Big Data Algorithm-Based Network Fault Diagnosis and Intelligent Operation and Maintenance System
焦伟强1
作者信息
- 1. 对外经济贸易大学统计学院,北京 100029
- 折叠
摘要
该研究旨在设计一个基于大数据算法的网络故障诊断与智能运维系统,以提高网络故障诊断的准确性和运维效率.系统架构包括网络数据采集、存储处理、故障诊断算法以及智能运维模块.通过大数据算法对网络数据进行分析和挖掘,系统能够实现对网络状态的实时监测和故障预测,提供即时响应.此系统不仅能够降低网络故障带来的影响,还能优化运维资源的利用,为复杂网络环境提供高效解决方案,从而保障网络的稳定性和可靠性.
Abstract
This study aims to design a network fault diagnosis and intelligent operation and maintenance system based on big data algorithms to enhance the accuracy of network fault diagnosis and operational efficiency.The system architecture includes network data collection,storage processing,fault diagnosis algorithms,and intelligent operation and maintenance modules.By employing big data algorithms to analyze and mine network data,the system can achieve real-time monitoring of network status and predict faults,providing immediate responses and solutions.This system not only reduces the impact of network failures but also optimizes the utilization of operational resources,offering efficient solutions for complex network environments to ensure network stability and reliability.
关键词
大数据/网络故障诊断/Hadoop/智能运维Key words
big data/network fault diagnosis/Hadoop/intelligent operation and maintenance引用本文复制引用
出版年
2024
NETL
NSTL
万方数据