Combining visualization and statistical analysis to improve operator confidence and efficiency for failure detection and localization

Proceedings - Second International Conference on Autonomic Computing, ICAC 2005

Volumn 2005, Issue , 2005, Pages 164-175

  Bodík, Peter ^a   Friedman, Greg ^b   Biewald, Lukas ^b   Levine, Helen ^c   Candea, George ^b   Patel, Kayur ^b   Tolle, Gilman ^a   Hui, Jon ^a   Fox, Armando ^b   Jordan, Michael I ^a   Patterson, David ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY   (United States)

^c Ebatescom ^*

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; AUTONOMOUS AGENTS; COMPUTER SOFTWARE; FAULT TOLERANT COMPUTER SYSTEMS; STATISTICAL METHODS; WORLD WIDE WEB;

ANOMALY DETECTORS; AUTONOMIC COMPUTING; EBATES; WEB APPLICATIONS;

COMPUTER SYSTEM RECOVERY;

EID: 33745488052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAC.2005.18     Document Type: Conference Paper

References (14)

1. Altaworks, Altaworks Panorama. http://www.altaworks.com/ solutionsPanorama.htm.
2. S. K. Card, J. D. Mackinlay, and B. Shneiderman. Readings in Information Visualization: Using Vision To Think. Morgan Kaumann, San Francisco, CA, 1999.
3. M. Chen, E. Kiciman, E. Fratkin, A. Fox, and E. Brewer. Pinpoint: Problem determination in large, dynamic internet services. DSN 2002.
4. M. Y. Chen, A. Accardi, E. Kiciman, D. Patterson, A. Fox, and E. A. Brewer. Path-based failure and evolution management. In NSDI, pages 309-322, 2004.
5. I. Cohen, J. S. Chase, M. Goldszmidt, T. Kelly, and J. Symons. Correlating instrumentation data to system states: A building block for automated diagnosis and control. In 6th USENIX Symposium on Operating Systems Design and Implementation, San Francisco, CA, Dec 2004.
6. E. Eskin. Anomaly detection over noisy data using learned probability distributions. In Proceedings of the International Conference on Machine Learning, pages 255-262, 2000.
7. Hewlett Packard Corporation, HP OpenView Software, http ://www.openview.hp.com.
8. IBM Corporation, IBM Tivoli Software, http://www.ibm.com/software/tivoli.
9. C. Kallepalli and J. Tian. Measuring and modeling usage and reliability for statistical web testing. IEEE Transactions on Software Engineering, 27:1023-1036, 2001.
10. J. O. Kephart and D. M. Chess. The vision of autonomic computing. IEEE Computer, 36(1):41-50, 2003.
11. E. Kiciman and A. Fox. Detecting application-level failures in component-based internet services. Technical report, Stanford, 2004.
12. G. W. Snedecor and W. G. Cochran. Statistical methods. Eighth Edition, Iowa State University Press, 1989.
13. J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, 1:12-23, 2000.
14. N. Ye, Q. Chen, S. M. Emran, and K. Noh. Chi-square statistical profiling for anomaly detection. In IEEE Systems, Man, and Cybernetics Information Assurance and Security Workshop June 6-7, 2000 at West Point, New York, pages 187-193, June 2000.