DocumentCode :
1605726
Title :
Analyzing utilization rates in data centers for optimizing energy management
Author :
Pawlish, Michael ; Varde, Aparna S. ; Robila, Stefan A.
Author_Institution :
Dept. of Environ. Mgmt., Montclair State Univ., Montclair, NJ, USA
fYear :
2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we explore academic data center utilization rates from an energy management perspective with the broader goal of providing decision support for green computing. The utilization rate is defined as the overall extent to which data center servers are being used and is usually recorded as a percentage. Recent literature states that utilization rates at many data centers are quite low resulting in poor usage of resources such as energy and labor. Based on our study we attribute these lower utilization rates to not fully taking advantage of virtualization and cloud technology. This paper describes our research including energy data analysis with our proposed equations for performance measurement and forecasting, corroborated by evaluation with real data in a university setting. We suggest that future data centers will need to increase their utilization rates and thus shift more towards the cloud in order to lower costs and increase services despite current concerns for security of cloud technology.
Keywords :
cloud computing; computer centres; decision support systems; educational institutions; energy management systems; environmental factors; performance evaluation; virtualisation; academic data center utilization rate analysis; cloud technology security; data center servers; decision support system; energy data analysis; energy management optimization; green computing; performance measurement; resource usage; universities; virtualization; Monitoring; Servers; Sun; Cloud; Data Centers; Forecasting; Green IT; Utilization Rates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Conference (IGCC), 2012 International
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4673-2155-6
Electronic_ISBN :
978-1-4673-2153-2
Type :
conf
DOI :
10.1109/IGCC.2012.6322248
Filename :
6322248
Link To Document :
بازگشت