• DocumentCode
    1186832
  • Title

    The CIM Metrics Model: Introducing flexible data collection and aggregation for performance management in CIM

  • Author

    Keller, Alexander ; Benke, Oliver ; Debusmann, Markus ; Köppel, Andreas ; Kreger, Heather ; Maier, Andreas ; Schopmeyer, Karl

  • Author_Institution
    IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
  • Volume
    1
  • Issue
    2
  • fYear
    2004
  • Firstpage
    59
  • Lastpage
    71
  • Abstract
    We describe new extensions to the CIM Metrics Model, termed BaseMetrics Submodel, whose scope is to define schema extensions capable of specifying and subsequently instantiating new performance measurement data at the runtime of a system. The model has been developed by the Metric Extensions Working Group of the Distributed Management Task Force (DMTF) in which the authors actively participate. The BaseMetrics submodel has been adopted by the CIM Technical Committee and is part of the CIM schema. In addition, we present an extension to the BaseMetrics submodel that allows the definition and aggregation of arbitrary performance data at runtime to address the requirements of service level agreements and workload management systems. Two examples illustrate the applicability of the model to real-life data collection and aggregation scenarios in distributed computing environments.
  • Keywords
    Computer architecture; Computer integrated manufacturing; Computer network management; Counting circuits; Distributed computing; Environmental management; Measurement; Remote monitoring; Resource management; Runtime;
  • fLanguage
    English
  • Journal_Title
    Network and Service Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1932-4537
  • Type

    jour

  • DOI
    10.1109/TNSM.2004.4798291
  • Filename
    4798291