Assessing Operational Impact in Enterprise Systems by Mining Usage Patterns

  • Mark Moss
  • Calton Pu
Conference paper

DOI: 10.1007/978-3-540-75694-1_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4785)
Cite this paper as:
Moss M., Pu C. (2007) Assessing Operational Impact in Enterprise Systems by Mining Usage Patterns. In: Clemm A., Granville L.Z., Stadler R. (eds) Managing Virtualization of Networks and Services. DSOM 2007. Lecture Notes in Computer Science, vol 4785. Springer, Berlin, Heidelberg


Performing impact analysis involves determining which users are affected by system resource failures. Understanding when users are actually using certain resources allows system administrators to better assess the impact on enterprise operations. This is critical to prioritizing system repair and restoration actions, and allowing users to modify their plans proactively. We present an approach that combines traditional dependency analysis with resource usage information to improve the operational relevance of these assessments. Our approach collects data from end-user systems using common operating system commands, and uses this data to generate dependency and usage pattern information. We tested our approach in a computer lab running applications at various levels of complexity, and demonstrate how our framework can be used to assist system administrators in providing clear and concise impact assessments to executive managers.


operational impact analysis system management data mining 
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Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Mark Moss
    • 1
  • Calton Pu
    • 1
  1. 1.CERCS, Georgia Institute of Technology 801 Atlantic Drive, Atlanta, GA 30332USA

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