Tracking probabilistic correlation of monitoring data for fault detection in complex systems

Proceedings of the International Conference on Dependable Systems and Networks

Volumn 2006, Issue , 2006, Pages 259-268

  Guo, Zhen ^a   Jiang, Guofei ^b   Chen, Haifeng ^b   Yoshihira, Kenji ^b  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FAULT ANALYSIS; MONITORING DATA; RECURSIVE ALGORITHMS;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DISTRIBUTED COMPUTER SYSTEMS; LARGE SCALE SYSTEMS; OPTIMIZATION; REAL TIME SYSTEMS; USER INTERFACES;

FAULT TOLERANT COMPUTER SYSTEMS;

EID: 33845564157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2006.70     Document Type: Conference Paper

References (13)

1. st USENIX Symposium on Networked Systems Design and Implementation (NSDI'04), San Francisco, CA, March 2004.
2. rd International Conference on Autonomic Computing, Dublin, Ireland, June, 2006.
3. J. Bilmes, "A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models," Technical Report, U.C. Berkeley, April, 1998.
4. Z. Zivkovic and F. Heijden, "Recursive unsupervised learning of finite mixture models", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 651-656, May, 2004.
5. A. Yemini and S. Kliger, "High speed and robust event correlation", IEEE Communication Magazine, vol. 34, no. 5, pp. 82-90, May, 1996.
6. C. Chao, D. Yang and A. Liu, "An automated fault diagnosis system using hierarchical reasoning and alarm correlation", Journal of Network and Systems Management, vol.9, no.2, pp. 183-202, June, 2001.
7. A. Benveniste, E. Fabre, C. Jard and S. Haar, "Diagnosis of asynchronous discrete event systems, a net unfolding approach", IEEE Transactions on Automatic Control, vol. 48, no. 5, pp. 714-727, May, 2003.
8. R. Vaarandi, "A data clustering algorithm for mining patterns from event logs," in Proc. of '2003 IEEE Workshop on IP Operations & Management (IPOM2003), Kansas City, Missouri, October, 2003.
9. K. Yamanishi, J. Takeuchi, G. Williams and P. Milne, "On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms", in Proceedings of the sixth ACM international conference on Knowledge discovery and data mining, pp. 320-324, Boston, MA, August, 2000.
10. http://java.sun.com/products/JavaMangement/
11. P. Filzmoser, "A multivariate outlier detection method", in Proc. of the Seventh International Conference on Computer Data Analysis and Modeling, volume 1, pp. 18-22, Minsk, Belarus, 2004.
12. A. Gelman, J.B. Carlin, H.S. Stern and D.B. Rubin, Bayesian data analysis, Chapter 16, Chapman and Hall, 1995.
13. Http://java.sun.com/deveoper/releases/petstore/.