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

Presentation Date

10-18-2014

Document Type

Conference Proceeding

Presenter(s)

Daniel W. Yoas, Nova Southeastern UniversityFollow
Gregory Simco, Nova Southeastern UniversityFollow

Proceedings Title

Proceedings of ACM SIGITE/RIIT 2014

ISBN

978-1-4503-2711-4

Description

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.

DOI

10.1145/2656434.2656445

First Page

39

Last Page

44

Comments

Conference held in Atlanta, GA, October 15-18. 2014

NSUWorks Citation

Yoas, Daniel W. and Simco, Gregory, "Using Time-Series Analysis to Provide Long-Term CPU Utilization Prediction" (2014). CCE Faculty Proceedings, Presentations, Speeches and Lectures. 38.
https://nsuworks.nova.edu/gscis_facpres/38