Using Time-Series Analysis to Provide Long-Term CPU Utilization Prediction
Conference Name / Publication Title
Proceedings of ACM SIGITE/RIIT 2014
ISSN or ISBN
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.
Yoas, Daniel W. and Simco, Gregory, "Using Time-Series Analysis to Provide Long-Term CPU Utilization
Prediction" (2014). CEC Faculty Proceedings, Presentations, Speeches and Lectures. 38.