Title :
Configurable Analytics Framework for Management of Enterprise IT Systems
Author :
Natu, Maitreya ; Sadaphal, Vaishali ; Kulkarni, Vaishali
Author_Institution :
Syst. Res. Lab., Tata Res. Dev. & Design Centre (TRDDC), Pune, India
Abstract :
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.
Keywords :
DP management; knowledge based systems; analysis engine; capacity management; configurable analytics framework; domain-aware rule-base; enterprise IT system management; experience-oriented approach; intuition-based approach; proactive management; scalable data-processing framework; Algorithm design and analysis; Analytical models; Capacity planning; Data models; Engines; Measurement; Monitoring; Configurable Analytics; Data center management; Performance and Capacity Management;
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
DOI :
10.1109/ICDMW.2014.121
