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
Link To Document :
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