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Conference Papers Year : 2007

Fault Detection and Diagnosis from the Logging and Bookkeping Data

Abstract

Autonomic Computing (AC) is defined as ‘computing systems that manage themselves in accordance with high-level objectives from humans'. AC is now a well-established scientific domain, and a priority for industry. Automated detection, diagnosis, and ultimately management, of software/hardware problems define autonomic dependability. The paper reports on applying state of the art autonomic dependability methods to the Logging and Bookkeeping data, with promising results on detection.
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Dates and versions

inria-00174286 , version 1 (24-09-2007)

Identifiers

  • HAL Id : inria-00174286 , version 1

Cite

Xiangliang Zhang, Michèle Sebag, Cecile Germain-Renaud. Fault Detection and Diagnosis from the Logging and Bookkeping Data. 2nd EGEE User Forum, May 2007, Manchester, United Kingdom. ⟨inria-00174286⟩
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