Pecchia, Antonio (2011) On the use of event logs for the analysis of system failures. [Tesi di dottorato] (Unpublished)


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Item Type: Tesi di dottorato
Lingua: English
Title: On the use of event logs for the analysis of system failures
Date: 30 November 2011
Number of Pages: 188
Institution: Università degli Studi di Napoli Federico II
Department: Informatica e sistemistica
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 24
Coordinatore del Corso di dottorato:
Date: 30 November 2011
Number of Pages: 188
Uncontrolled Keywords: logging mechanism; event log; failure analysis; dependability
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Date Deposited: 15 Dec 2011 12:12
Last Modified: 30 Apr 2014 19:48
DOI: 10.6092/UNINA/FEDOA/8815


Computer systems are the basis for daily human activities, and, even more importantly, they play a key role in many critical domains. For this reason, understanding the failure behavior of computer systems is crucial to engineers. Event logs, i.e., the set of files where computing entities register events related to regular and anomalous activities occurred during the system operational phase, represent a valuable source of data to conduct a failure analysis. Study based on event logs span over the past three decades; however, computer systems have deeply changed over this timeframe. Investigating the suitability of traditional assumptions and techniques underlying log-based failure analysis, in spite of the changes occurred in the computer systems industry, is of paramount importance. The focus of the thesis is to evaluate the accuracy of current logging mechanisms at reporting failures, and to develop novel techniques to make event logs effective to infer failure data. Techniques involve production, collection, and correlation of the failure data in the log to support accurate system dependability characterization. The benefits that can be achieved by adopting proposed techniques, are shown by means of experiments conducted in the context of real-world, complex distributed systems.


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