Using Time-Series Analysis to Provide Long-Term CPU Utilization Prediction

    Research output: Contribution to conferencePresentation

    Abstract

    Time-series analysis has been a recognized method of prediction for years. In computing, prediction has revolved around scheduling problems and is used in computing time to manage resources in the short-term. Long-term prediction using these methods has proven to be problematic and of little use. However, with the rise of Information Technology (IT) and the need to manage resources in a business atmosphere, the need to provide long-term resource management remains a difficult problem without a good solution. At this time, IT professionals use experience and their best judgment to manage equipment and frequently purchase systems based on maximum requirements. The need to take the knowledge gained by computer science in scheduling now needs to be expanded into the realm of IT to facilitate a more economical use of resource availability. This work is just the first step and provides one path to accomplishing long-term prediction in computing.

    Original languageAmerican English
    Pages39-44
    Number of pages6
    DOIs
    StatePublished - Oct 18 2014
    EventProceedings of ACM SIGITE/RIIT 2014 -
    Duration: Oct 18 2014 → …

    Conference

    ConferenceProceedings of ACM SIGITE/RIIT 2014
    Period10/18/14 → …

    ASJC Scopus Subject Areas

    • Computer Networks and Communications
    • Information Systems

    Keywords

    • Modeling and prediction
    • Operating Systems
    • Demand forecasting
    • Prediction methods

    Disciplines

    • Computer Sciences

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