• DocumentCode
    243555
  • 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
  • fYear
    2014
  • fDate
    14-14 Dec. 2014
  • Firstpage
    321
  • Lastpage
    327
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4799-4275-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2014.121
  • Filename
    7022614