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

来源：

2014 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS (ITNG) | 2014年

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

页码：21 / 26

页数：6

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