Efficient fault detection and diagnosis in complex software systems with information-theoretic monitoring

IEEE Transactions on Dependable and Secure Computing

Volumn 8, Issue 4, 2011, Pages 510-522

  Jiang, Miao ^a   Munawar, Mohammad A ^a   Reidemeister, Thomas ^a   Ward, Paul A S ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

autonomic systems.; fault detection; fault diagnosis; information theory; mutual information; Self managing systems

Indexed keywords

BAYESIAN NETWORKS; COMPUTER SOFTWARE; FAILURE ANALYSIS; INFERENCE ENGINES; INFORMATION THEORY; LEARNING ALGORITHMS;

AUTONOMIC SYSTEMS; COMPLEX SOFTWARE SYSTEMS; ENTERPRISE APPLICATIONS; FAULT DETECTION AND DIAGNOSIS; MUTUAL INFORMATIONS; NON-LINEAR RELATIONSHIPS; NORMALIZED MUTUAL INFORMATION; SELF-MANAGING SYSTEMS;

FAULT DETECTION;

EID: 79957613338     PISSN: 15455971     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDSC.2011.16     Document Type: Article

References (20)

1. J.O. Kephart and D.M. Chess, "The Vision of Autonomic Computing," Computer, vol. 36, no. 1, pp. 41-50, Jan. 2003.
2. Z. Guo, G. Jiang, H. Chen, and K. Yoshihira, "Tracking Probabilistic Correlation of Monitoring Data for Fault Detection in Complex Systems," Proc. Int'l Conf. Dependable Systems and Networks (DSN '06), pp. 259-268, 2006. (Pubitemid 44930427)
3. G. Jiang, H. Chen, and K. Yoshihira, "Modelling and Tracking of Transaction Flow Dynamics for Fault Detection in Complex Systems," IEEE Trans. Dependable and Secure Computing, vol. 3, no. 4, pp. 312-326, Oct.-Dec. 2006. (Pubitemid 44837034)
4. M.A. Munawar and P.A. Ward, "Adaptive Monitoring in Enterprise Software Systems," Proc. Workshop Systems Modeling Language (SysML), June 2006.
5. M.A. Munawar and P.A. Ward, "A Comparative Study of Pairwise Regression Techniques for Problem Determination," Proc. Conf. Center for Advanced Studies on Collaborative Research (CASCON '07), pp. 152-166, 2007.
6. M.A. Munawar and P.A. Ward, "Leveraging Many Simple Statistical Models to Adaptively Monitor Software Systems," Proc. Int'l Symp. Parallel and Distributed Processing and Applications (ISPA), 2007.
7. A. Agogino and K. Tumer, "Entropy Based Anomaly Detection Applied to Space Shuttle Main Engines," Proc. IEEE Aerospace Conf., Mar. 2006.
8. I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, second ed. Morgan Kaufmann, 2005.
9. M.Y. Chen, E. Kiciman, E. Fratkin, A. Fox, and E.A. Brewer, "Pinpoint: Problem Determination in Large, Dynamic Internet Services." Proc. Int'l Conf. Dependable Systems and Networks (DSN), pp. 595-604, 2002.
10. I. Cohen, S. Zhang, M. Goldszmidt, J. Symons, T. Kelly, and A. Fox, "Capturing, Indexing, Clustering, and Retrieving System History," Proc. Symp. Operating Systems Principles (SOSP), pp. 105- 118, 2005. (Pubitemid 44892208)
11. S. Ghanbari and C. Amza, "Semantic-Driven Model Composition for Accurate Anomaly Diagnosis," Proc. Int'l Conf. Autonomic Computing (ICAC), 2008.
12. M. Jiang, M.A. Munawar, T. Reidemeister, and P.A.S. Ward, "Detection and Diagnosis of Recurrent Faults in Software Systems by Invariant Analysis," Proc. 11th IEEE High Assurance Systems Eng. Symp. (HASE), 2008.
13. J. Han and M. Kamber, Google's Pagerank and Beyond: The Science of Search Engine Rankings. Princeton University Press, 2006.
14. K. Inoue, R. Yokomori, H. Rujiwara, T. Yamamoto, M. Matsushita, and S. Kusumoto, "Component Rank: Relative Significance Rank for Software Component Search," Proc. 25th Int'l Conf. Software Eng. (ICSE), 2003.
15. C.E. Shannon, "A Mathematical Theory of Communication," Key Papers in the Development of Information Theory, http://cm.bell-labs. com/cm/ms/what/shannonday/shannon1948.pdf, 1948.
16. A. Strehl and J. Ghosh, "Cluster Ensembles-a Knowledge Reuse Framework for Combining Multiple Partitions," J. Machine Learning Research, vol. 3, pp. 583-617, http://citeseer.ist.psu. edu/article/strehl02cluster.html, Dec. 2002.
17. J. Han and M. Kamber, Data Mining: Concepts and Techniques, second ed. Morgan Kaufmann, 2006.
18. D.M. Levine, C.P.P. Ramsey, and R.K. Smidt, Applied Statistics for Engineers and Scientists. Prentice Hall, 2000.
19. IBM Corporation, iBM Trade Performance Benchmark, http:// www-01.ibm.com/software/webservers/appserv/was/ performance, 2011.
20. R. Chillarege, I.S. Bhandari, J.K. Chaar, M.J. Halliday, D.S. Moebus, B.K. Ray, and M.-Y. Wong, "Orthogonal Defect Classification- A Concept for in-Process Measurements," IEEE Trans. Software Eng., vol. 18, no. 11, pp. 943-956, Nov. 1992. (Pubitemid 23608410)