Using Long-Term Prediction for Web Service Network Traffic Loads

被引:0
|
作者
Yoas, Daniel W. [1 ]
Simco, Greg [2 ]
机构
[1] Penn Coll Technol, Ind Comp & Engn Technol, Williamsport, PA 17701 USA
[2] Nova SE Univ, Grad Sch Comp & Informat Sci, Ft Lauderdale, FL 33314 USA
关键词
Computer Performance; Web Services; Computer Network Reliability; Forecasting; Availability;
D O I
10.1109/ITNG.2014.79
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:21 / 26
页数:6
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