DocumentCode :
145302
Title :
Using Long-Term Prediction for Web Service Network Traffic Loads
Author :
Yoas, Daniel W. ; Simco, Greg
Author_Institution :
Ind., Comput., & Eng. Technol., Pennsylvania Coll. of Technol., Williamsport, PA, USA
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
21
Lastpage :
26
Abstract :
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.
Keywords :
Web services; business data processing; resource allocation; scheduling; Web service network; business use; load balancing service; long-term predictability; long-term resource utilization; network traffic load; scheduling service; server resources; Availability; Error analysis; Resource management; Telecommunication traffic; Web servers; Availability; Computer Network Reliability; Computer Performance; Forecasting; Web Services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2014 11th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-3187-3
Type :
conf
DOI :
10.1109/ITNG.2014.79
Filename :
6822170
Link To Document :
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