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CCE Faculty Proceedings, Presentations, Speeches and Lectures
Using Long Term-Prediction for Web Service Network Traffic Load
Presentation Date
4-9-2014
Document Type
Conference Proceeding
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
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
COinS
Comments
Conference held in Las Vegas, NV, April 7-9, 2014