Expert systems in telecommunications

Wright, Jon R.; Vesonder, Gregg

doi:10.1016/0957-4174(90)90022-m

Cited by 8 publications

(1 citation statement)

References 12 publications

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“…Work in the telecom domain has traditionally revolved around alarms produced by network elements, and trouble ticket systems [54] that track and coordinate troubleshooting. The use of rule-based expert systems for troubleshooting was common -as early as 1990, Wright et al [92] survey a list of 40 rule-based expert system in use within the telecom industry. More recently, codebookbased approaches [26,94] have been used to correlate alarms across many network devices to a single "root cause" alarm that the operators can investigate.…”

Section: Telecommunicationsmentioning

confidence: 99%

Failure Diagnosis of Complex Systems

Kavulya

Joshi

Giandomenico

et al. 2012

Resilience Assessment and Evaluation of Computing Systems

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Failure diagnosis is the process of identifying the causes of impairment in a system's function based on observable symptoms, i.e., determining which fault led to an observed failure. Since multiple faults can often lead to very similar symptoms, failure diagnosis is often the first line of defense when things go wrong -a prerequisite before any corrective actions can be undertaken. The results of diagnosis also provide data about a system's operational fault profile for use in offline resilience evaluation. While diagnosis has historically been a largely manual process requiring significant human input, techniques to automate as much of the process as possible have significantly grown in importance in many industries including telecommunications, internet services, automotive systems, and aerospace. This chapter presents a survey of automated failure diagnosis techniques including both model-based and model-free approaches. Industrial applications of these techniques in the above domains are presented, and finally, future trends and open challenges in the field are discussed.

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Section: Telecommunicationsmentioning

confidence: 99%