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Presentation
Using Long Term-Prediction for Web Service Network Traffic Load
ITNG '14 Proceedings of the 2014 11th International Conference on Information Technology New Generations
  • Daniel W. Yoas, Nova Southeastern University
  • Gregory Simco, Nova Southeastern University
Presentation Date
4-9-2014
Document Type
Conference Proceeding
ISBN
978-1-4799-3187-3
Description

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.

DOI
10.1109/ITNG.2014.79
Comments
Conference held in Las Vegas, NV, April 7-9, 2014
Disciplines
Citation Information
Daniel W. Yoas and Gregory Simco. "Using Long Term-Prediction for Web Service Network Traffic Load" ITNG '14 Proceedings of the 2014 11th International Conference on Information Technology New Generations (2014) p. 21 - 26
Available at: http://works.bepress.com/greg-simco/12/