Performance problem analysis method for web systems using multiple decision trees

Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference

Volumn 2006, Issue , 2006, Pages 415-424

  Kikuchi, Shinji ^a   Yokoyama, Ken ^a   Takeyama, Akira ^a  

^a FUJITSU LABORATORIES LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL TIME; DECISION TREE ALGORITHMS; MULTIPLE DECISION TREES; WEB SYSTEMS;

ALGORITHMS; COMPUTATION THEORY; FUNCTION EVALUATION; PROBLEM SOLVING; TREES (MATHEMATICS); WORLD WIDE WEB;

DECISION THEORY;

EID: 33751042680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/.2006.1629434     Document Type: Conference Paper

References (10)

1. Apache HTTP Server Project, http://www.apache.org/
2. L. Breiman, J. H. Friedman, R. A. Olsen, and C. J. Stone, Classification and Regression Trees, Wadsworth, 1984.
3. S. J. Russell, and P. Norvig, Artificial Intelligence, Prentice-Hall, 1995.
4. Fujitsu Interstage, http://interstage.fujitsu.com/
5. Fujitsu Symfoware, http://www.fujitsu.com/services/software/symfoware/
6. Red Hat Enterprise Linux, http://www.redhat.com/software/rhel/
7. T. Horikawa, Application of Event Trace Framework for Performance Problem Solutions, IPSJ SIG Technical Report, 2003.
8. D. G. Hart, J. L. Hellerstein, and P. C. Yue, Failure Diagnosis Using Detection Trees Automated Drill Down: An Approach to Automated Problem Isolation for Performance Management, Proc. of the Computer Measurement Group, 1999.
9. M. Chen, A. X. Zheng, J. Lloyd, M. I. Jordan, and E. Brewer, Failure Diagnosis Using Detection Trees, Proc. of International Conference on Autonomic Computing, 2004.
10. Weka 3: Data Mining Software in Java, http://www.cs.waikato.ac.nz/ml/ weka/