PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Fault detection and diagnosis from the logging and bookkeping data
Xiangliang Zhang, Cecile Germain and Michele Sebag
In: second Enabling Grids for E-sciencE (EGEE) User Forum, May 9-11, 2007, Manchester, UK.

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 Bookeeping data, with promising results on detection.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:3676
Deposited By:Xiangliang Zhang
Deposited On:14 February 2008