An Automated Approach for CreatingWorkload Models From Server Log Data

Fredrik Abbors, Dragos Truscan, Tanwir Ahmad

    Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

    3 Citeringar (Scopus)
    1 Nedladdningar (Pure)

    Sammanfattning

    We present a tool-supported approach for creating workload models from historical web access log data. The resulting workload models are stochastic, represented as Probabilistic Timed Automata (PTA), and describe how users interact with the system. Such models allow one to analyze different user profiles and to mimic real user behavior as closely as possible when generating workload. We provide an experiment to validate the approach. We present a tool-supported approach for creating workload models from historical web access log data. The resulting workload models are stochastic, represented as Probabilistic Timed Automata (PTA), and describe how users interact with the system. Such models allow one to analyze different user profiles and to mimic real user behavior as closely as possible when generating workload. We provide an experiment to validate the approach.
    OriginalspråkOdefinierat/okänt
    Titel på gästpublikationProceedings of the 9th International Conference on Software Engineering and Application
    RedaktörerAndreas Holzinger, Therese Libourel, Leszek Maciaszek, Stephen Mellor
    FörlagSCITEPRESS Science And Technology Publications
    Sidor14–25
    ISBN (tryckt)978-989-758-036-9
    DOI
    StatusPublicerad - 2014
    MoE-publikationstypA4 Artikel i en konferenspublikation
    Evenemangconference; 2014-08-29; 2014-08-31 - Vienna
    Varaktighet: 29 aug 201431 aug 2014

    Konferens

    Konferensconference; 2014-08-29; 2014-08-31
    Period29/08/1431/08/14

    Nyckelord

    • Log file analysis
    • Performance testing
    • Probabilistic Timed Automata
    • Workload model generation,

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