Survey of modern Fault Diagnosis methods in networks

TL;DR

This survey reviews modern fault diagnosis methods in computer networks, focusing on knowledge-based approaches, their advantages, shortcomings, and open problems in the field.

Contribution

It provides a comprehensive overview of current fault diagnosis techniques in networks, highlighting knowledge-based methods and discussing open challenges.

Findings

Knowledge-based methods are prominent in network fault diagnosis.

Advantages include adaptability and reasoning capabilities.

Shortcomings involve complexity and scalability issues.

Abstract

With the advent of modern computer networks, fault diagnosis has been a focus of research activity. This paper reviews the history of fault diagnosis in networks and discusses the main methods in information gathering section, information analyzing section and diagnosing and revolving section of fault diagnosis in networks. Emphasis will be placed upon knowledge-based methods with discussing the advantages and shortcomings of the different methods. The survey is concluded with a description of some open problems.