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Resource utilization prediction: A proposal for information technology research

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Research into predicting long-term resource needs has been faced with a very difficult problem of extending the accuracy period beyond the immediate future. Business forecasting has overcome this limitation by successfully incorporating the concept of human interaction as the basis of prediction patterns at the hourly, daily, weekly, monthly, and yearly time frames. Computer resource utilization is also impacted by human interaction therefore influencing research into predictability of resource usage based on human access patterns. Emulated human web server access data was captured in a feasibility study that used time series analysis to predict future resource usage. For prediction beyond several minutes, results indicate that the majority of projected resource usage was within an 80% confidence level thus supporting the foundation of future resource prediction work in this area.

    Original languageEnglish
    Title of host publicationRIIT'12 - Proceedings of the ACM Research in Information Technology
    Pages25-30
    Number of pages6
    DOIs
    StatePublished - 2012
    Event1st Annual Conference on Research in Information Technology, RIIT 2012 - Calgary, AB, Canada
    Duration: Oct 11 2012Oct 13 2012

    Publication series

    NameRIIT'12 - Proceedings of the ACM Research in Information Technology

    Conference

    Conference1st Annual Conference on Research in Information Technology, RIIT 2012
    Country/TerritoryCanada
    CityCalgary, AB
    Period10/11/1210/13/12

    ASJC Scopus Subject Areas

    • Information Systems

    Keywords

    • Demand forecasting
    • Prediction methods

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