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A Generic Data Warehouse Architecture for Analyzing Workflow Logs

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Advances in Databases and Information Systems (ADBIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9282))

Abstract

This paper proposes an approach to represent and analyze the content of workflow logs in a data warehouse. When analyzing workflow logs one big problem arises: typically, an underlying workflow model consists of loops (frequently interleaving), often implemented by using goto-statements. These structures increase the number of possible execution paths significantly - in theory even indefinitely. In a naive Data Warehouse (DWH) implementation one would represent all possible execution paths by means of a dimension. However, this would lead to a huge or even infinite number of elements in the dimension. In this paper, we present a novel approach for analyzing workflow logs including loops and goto-statements.

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Notes

  1. 1.

    PHP PEG has been developed by Hamish Friedlander. Available at: https://github.com/hafriedlander/php-peg.

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Authors and Affiliations

  1. Klagenfurt University, Institute of Informatics Systems, Klagenfurt, Austria

    Christian Koncilia & Horst Pichler

  2. Poznan University of Technology, Institute of Computing Science, Poznań, Poland

    Robert Wrembel

Authors
  1. Christian Koncilia
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  2. Horst Pichler
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  3. Robert Wrembel
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Corresponding author

Correspondence to Christian Koncilia .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznán, Poland

    Morzy Tadeusz

  2. INRIA, Montpellier, France

    Patrick Valduriez

  3. Teleport 2, LIAS/ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

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Koncilia, C., Pichler, H., Wrembel, R. (2015). A Generic Data Warehouse Architecture for Analyzing Workflow Logs. In: Tadeusz, M., Valduriez, P., Bellatreche, L. (eds) Advances in Databases and Information Systems. ADBIS 2015. Lecture Notes in Computer Science(), vol 9282. Springer, Cham. https://doi.org/10.1007/978-3-319-23135-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-23135-8_8

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