Proactive identification of performance problems

Proceedings of the ACM SIGMOD International Conference on Management of Data

Volumn , Issue , 2006, Pages 766-768

  Duan, Songyun ^a   Babu, Shivnath ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SERVERS; PROBABILISTIC MODELS; SERVICE-LEVEL-AGREEMENT (SLA);

COMPUTER OPERATING SYSTEMS; DATABASE SYSTEMS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; WEB SERVICES;

COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 34250625749     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1142473.1142582     Document Type: Conference Paper

References (6)

1. The B-Course data analysis tool for Bayesian modeling. http://b-course.hiit.fi
2. Banjo: A structure learner for static and dynamic Bayesian networks http://www.cs.duke.edu/~amink/software/banjo.
3. I. Cohen, J. Chase, M. Goldszmidt, T. Kelly, and J. Symons. Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control. In Proc. of the 2004 USENIX Symp. on Operating Systems Design and Implementation, Dec. 2004.
4. IBM initiative on Autonomic Computing, http://www.research.ibm. com/autonomic.
5. J. Pearl. Causality: Models, Reasoning, and Inference. Cambridge University Press, Cambridge, United Kingdom, 2000
6. Performance monitoring tools for Linux. http://perso.wanadoo.fr/ sebastien.godard.