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

In: System Dependability and Analytics

Author

Listed:
  • 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)

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.

Suggested Citation

  • Marcello Cinque & Domenico Cotroneo & Antonio Pecchia, 2023. "Mining Dependability Properties from System Logs: What We Learned in the Last 40 Years," Springer Series in Reliability Engineering, in: Long Wang & Karthik Pattabiraman & Catello Di Martino & Arjun Athreya & Saurabh Bagchi (ed.), System Dependability and Analytics, pages 221-238, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-02063-6_12
    DOI: 10.1007/978-3-031-02063-6_12
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