Title :
Mining Infrastructure Data for System Management Optimization
Author :
Perng, Chang-Shing ; Guo, Shang
Author_Institution :
T.J. Watson Res. Center, IBM, Yorktown Heights, NY
fDate :
May 21 2007-Yearly 25 2007
Abstract :
In this paper, we introduce the DD-STAR project and explain how a data mining service can be offered as an effective way to discover knowledge that is essential to self-healing infrastructure design and optimization. One of the central issues in proactive problem prediction, avoidance, and diagnosis is to model the infrastructure dynamics based on historical monitoring data, and then apply the models to construct self-management self-healing rules.
Keywords :
data mining; DD-STAR project; data mining service; infrastructure data mining; knowledge discovery; self-healing infrastructure design; system management optimization; Algorithm design and analysis; Data analysis; Data mining; Design optimization; Knowledge management; Monitoring; Predictive models; Project management; Technological innovation; Time series analysis;
Conference_Titel :
Integrated Network Management, 2007. IM '07. 10th IFIP/IEEE International Symposium on
Conference_Location :
Munich
Print_ISBN :
1-4244-0798-2
Electronic_ISBN :
1-4244-0799-0
DOI :
10.1109/INM.2007.374826
