2014 IEEE International Conference on Data Mining Workshop (ICDMW) (2014)
Dec. 14, 2014 to Dec. 14, 2014
The large scale and complexity of today's enterprise systems demand automated solutions for proactive management. We present a solution to replace the manual, intuition-based, and experience-oriented approach with a fact-based, systematic, analytics-led approach for performance and capacity management of enterprise systems. We present the proposed approach using three building blocks viz. A scalable data-processing framework, an analysis engine, and a domain-aware rule-base. We demonstrate the proposed ideas using several real-world examples.
Measurement, Engines, Algorithm design and analysis, Analytical models, Monitoring, Data models, Capacity planning
M. Natu, V. Sadaphal and V. Kulkarni, "Configurable Analytics Framework for Management of Enterprise IT Systems," 2014 IEEE International Conference on Data Mining Workshop (ICDMW), Shenzhen, China, 2014, pp. 321-327.