Research on Intellectualized Network Fault Diagnosis System based on Big Data Analysis Technology
With the continuous progress of Chinas science and technology,network technology has been widely applied in all walks of life.Various new types of network business expand the entire scale of network.The network environment is becoming complex,and users put forward higher requirements for the reliability and service quality of network system,thus traditional network system maintenance mode cannot satisfy the basic demand of current network application.This paper studies network fault diagnosis based on big data analysis technology,and designs a diagnosis system with high intellectualization,which can comprehensively analyze and process different network faults.It has good application effect and deserves popularization.At present,people increasingly depend on network,the scale of network is expanding,various new types of network business and equipment are widely applied,and the probability of network fault is simultaneously increasing,thus,network management faces great challenges.Scientific and efficient network management can constantly monitor the operation of various equipment in the system,timely find out fault problems,and remind network management staff of taking measures to ensure the stable operation of network system.Big data analysis technology,with good application effect,can monitor various types of fault,improve the overall performance and reliability of network,at the same time,enhance the work efficiency of network management staff and avoid serious fault problems.
big data analysis technology intellectualization network fault diagnosis system
Kong Lu
Jiangxi Modern Polytechnic College,Nanchang,330095,China
国际会议
大连
英文
240-244
2018-12-21（万方平台首次上网日期，不代表论文的发表时间）