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Automated Generation of IT Component Dependency Models

Mojca Komavec (2017) Automated Generation of IT Component Dependency Models. MSc thesis.

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    Large enterprises are heavily relying on IT technology and infrastructure, which strives to quickly respond and remediate occurring problems, faults, and identify the underlying root causes. To automate this process, the enterprises rely on root cause analysis approach. One of the components is a component discovery module, which also provides information about the dependencies between IT components. In this thesis, we focus on building an IT component dependency graph from granular configuration data automatically. We analyze the configuration data in order to first infer the dependencies between hosts, and secondly, to find the dependencies between IT components. Furthermore, we assign each dependency a likelihood that it exists with a supervised machine learning algorithm. We show that our approach is much faster and accurate compared to the naive approach, which compares configuration parameters to each other. Moreover, we provide an extensive evaluation on the real dataset, where the evaluation takes into account the transitive property of dependencies, and specific properties of the root cause analysis. The evaluation results show that our proposed algorithm reaches 90% recall and 100% precision for discovering dependencies between generic IT components.

    Item Type: Thesis (MSc thesis)
    Keywords: data analysis, component dependency mapping, configuration dependencies, dependency analysis, root cause analysis, directed graph
    Number of Pages: 92
    Language of Content: English
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Marko Bajec245Mentor
    izr. prof. dr. Denis HelicComentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537582275)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3974
    Date Deposited: 22 Sep 2017 14:15
    Last Modified: 10 Oct 2017 13:05
    URI: http://eprints.fri.uni-lj.si/id/eprint/3974

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