An Automated Approach for CreatingWorkload Models From Server Log Data

Fredrik Abbors, Dragos Truscan, Tanwir Ahmad

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    3 Sitaatiot (Scopus)
    1 Lataukset (Pure)

    Abstrakti

    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.
    AlkuperäiskieliEi tiedossa
    OtsikkoProceedings of the 9th International Conference on Software Engineering and Application
    ToimittajatAndreas Holzinger, Therese Libourel, Leszek Maciaszek, Stephen Mellor
    KustantajaSCITEPRESS Science And Technology Publications
    Sivut14–25
    ISBN (painettu)978-989-758-036-9
    DOI - pysyväislinkit
    TilaJulkaistu - 2014
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    Tapahtumaconference; 2014-08-29; 2014-08-31 - Vienna
    Kesto: 29 elokuuta 201431 elokuuta 2014

    Konferenssi

    Konferenssiconference; 2014-08-29; 2014-08-31
    Ajanjakso29/08/1431/08/14

    Keywords

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

    Viittausmuodot