Using Long Term-Prediction for Web Service Network Traffic Load
Conference Name / Publication Title
ITNG '14 Proceedings of the 2014 11th International Conference on Information Technology New Generations
ISSN or ISBN
Businesses have used forecasting to address inventory levels and staffing needs. By understanding long-term utilization of resources, businesses have been able to optimize the costs associated with those resources. To date, computing has used forecasting to address short-term needs for services like scheduling and load balancing. This paper presents a portion of a larger study that was conducted to determine if long-term prediction of a server's resources is possible. The result of that larger study indicates that server resources exhibit long-term predictability, opening the possibility for future research to improve business use of servers.
Yoas, Daniel W. and Simco, Gregory, "Using Long Term-Prediction for Web Service Network Traffic
Load" (2014). CEC Faculty Proceedings, Presentations, Speeches and Lectures. 39.