Using Long Term-Prediction for Web Service Network Traffic Load

Presentation Date

4-9-2014

Document Type

Conference Proceeding

Presenter(s)

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

Proceedings Title

ITNG '14 Proceedings of the 2014 11th International Conference on Information Technology New Generations

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

First Page

21

Last Page

26

Comments

Conference held in Las Vegas, NV, April 7-9, 2014

NSUWorks Citation

Yoas, Daniel W. and Simco, Gregory, "Using Long Term-Prediction for Web Service Network Traffic Load" (2014). CCE Faculty Proceedings, Presentations, Speeches and Lectures. 39.
https://nsuworks.nova.edu/gscis_facpres/39