Design of a Big Data Algorithm-Based Network Fault Diagnosis and Intelligent Operation and Maintenance System
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.
big datanetwork fault diagnosisHadoopintelligent operation and maintenance
NETL
NSTL
万方数据
