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Problem Determination Using Dependency Graphs and Run-Time Behavior Models

  • Manoj K. Agarwal
  • Karen Appleby
  • Manish Gupta
  • Gautam Kar
  • Anindya Neogi
  • Anca Sailer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3278)

Abstract

Key challenges in managing an I/T environment for e-business lie in the area of root cause analysis, proactive problem prediction, and automated problem remediation. Our approach as reported in this paper, utilizes two important concepts: dependency graphs and dynamic runtime performance characteristics of resources that comprise an I/T environment to design algorithms for rapid root cause identification in case of problems. In the event of a reported problem, our approach uses the dependency information and the behavior models to narrow down the root cause to a small set of resources that can be individually tested, thus facilitating quick remediation and thus leading to reduced administrative costs.

Keywords

Dependency Graph Average Response Time Problem Determination Fault Injection Dynamic Threshold 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2004

Authors and Affiliations

  • Manoj K. Agarwal
    • 1
  • Karen Appleby
    • 2
  • Manish Gupta
    • 1
  • Gautam Kar
    • 2
  • Anindya Neogi
    • 1
  • Anca Sailer
    • 2
  1. 1.IBM India Research LaboratoryNew DelhiIndia
  2. 2.IBM T.J. Watson Research CenterHawthorneUSA

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