Mining Dependability Properties from System Logs: What We Learned in the Last 40 Years

Marcello Cinque (), Domenico Cotroneo () and Antonio Pecchia ()
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Marcello Cinque: Universitá degli Studi di Napoli Federico II
Domenico Cotroneo: Universitá degli Studi di Napoli Federico II
Antonio Pecchia: Universitá degli Studi del Sannio

A chapter in System Dependability and Analytics, 2023, pp 221-238 from Springer

Abstract: Abstract System logs have been extensively used over the past decades to gain insight about dependability properties of computer systems. Log files contain textual information about regular and anomalous events detected by a system under real workload conditions. By mining the information contained in the logs it is possible to characterize the real failure behavior of the system. By real, we mean considering only the failures that manifest naturally, during system operation. This chapter provides an overview of the main tools and techniques for log-based failure analysis, which have been proposed in the last four decades. By surveying the relevant work in the area, the chapter highlights the main objectives, research trends and applications, and it also discusses the main limitations and recent proposals to improve log-based failure analysis.

Keywords: Event logs; Log processing; Failure analysis; Dependability evaluation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-02063-6_12

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DOI: 10.1007/978-3-031-02063-6_12

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