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Creating Realistic Synthetic Incident Data

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E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life (WEB 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 258))

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Abstract

The utilisation of the full flexibility of on-demand IT service provisioning requires in-depth knowledge on service performance. Otherwise reduction in cost going along with an increase of availability cannot be achieved. Thus, IT service decision methods incorporating IT service incident data are required. However, a lot of these models cannot be evaluated in a satisfactory fashion due to the lack of real-world incident data. To address this problem, we identify the need for realistic synthetic incident data for IT services. We stipulate the composition of this incident data and proclaim a procedure enabling the creation of realistic synthetic incident data for IT services allowing for a thorough evaluation of any formal decision model that relies on these forms of data sources.

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Notes

  1. 1.

    http://status.aws.amazon.com/.

  2. 2.

    https://trust.salesforce.com/trust/status/.

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Author information

Authors and Affiliations

  1. Information Process Engineering, FZI Research Center for Information Technology, Karlsruhe, Germany

    Nico Roedder

  2. Department of Informatics, TU München, Garching, Germany

    Paul Karaenke

  3. Institute of Information Systems and Marketing, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Christof Weinhardt

Authors
  1. Nico Roedder
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  2. Paul Karaenke
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  3. Christof Weinhardt
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Corresponding author

Correspondence to Nico Roedder .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  2. Virginia Commonwealth University, Richmond, Virginia, USA

    Victoria Yoon

  3. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, Illinois, USA

    Michael J. Shaw

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Roedder, N., Karaenke, P., Weinhardt, C. (2016). Creating Realistic Synthetic Incident Data. In: Sugumaran, V., Yoon, V., Shaw, M. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2015. Lecture Notes in Business Information Processing, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-319-45408-5_14

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