TY - GEN
T1 - Resource utilization prediction
T2 - 1st Annual Conference on Research in Information Technology, RIIT 2012
AU - Yoas, Daniel W.
AU - Simco, Greg
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Demand forecasting
KW - Prediction methods
UR - https://www.scopus.com/pages/publications/84869169523
UR - https://www.scopus.com/pages/publications/84869169523#tab=citedBy
U2 - 10.1145/2380790.2380797
DO - 10.1145/2380790.2380797
M3 - Conference contribution
AN - SCOPUS:84869169523
SN - 9781450316439
T3 - RIIT'12 - Proceedings of the ACM Research in Information Technology
SP - 25
EP - 30
BT - RIIT'12 - Proceedings of the ACM Research in Information Technology
Y2 - 11 October 2012 through 13 October 2012
ER -