DocumentCode :
2149926
Title :
Capacity planning and power management to exploit sustainable energy
Author :
Gmach, Daniel ; Rolia, Jerry ; Bash, Cullen ; Chen, Yuan ; Christian, Tom ; Shah, Amip ; Sharma, Ratnesh ; Wang, Zhikui
Author_Institution :
HP Labs., Palo Alto, CA, USA
fYear :
2010
fDate :
25-29 Oct. 2010
Firstpage :
96
Lastpage :
103
Abstract :
This paper describes an approach for designing a power management plan that matches the supply of power with the demand for power in data centers. Power may come from the grid, from local renewable sources, and possibly from energy storage subsystems. The supply of renewable power is often time-varying in a manner that depends on the source that provides the power, the location of power generators, and the weather conditions. The demand for power is mainly determined by the time-varying workloads hosted in the data center and the power management policies implemented by the data center. A case study demonstrates how our approach can be used to design a plan for realistic and complex data center workloads. The study considers a data center´s deployment in two geographic locations with different supplies of power. Our approach offers greater precision than other planning methods that do not take into account time-varying power supply and demand and data center power management policies.
Keywords :
computer centres; power generation planning; power grids; power supplies to apparatus; renewable energy sources; capacity planning; data center workloads; data centers; energy storage subsystem; grid; local renewable sources; power generator; power management; renewable power supply; sustainable energy; Capacity planning; Data models; Energy storage; Measurement; Power demand; Servers; Capacity Planning; Energy Demand Management; Energy Supply Management; Power Capping; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and Service Management (CNSM), 2010 International Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-8910-7
Electronic_ISBN :
978-1-4244-8908-4
Type :
conf
DOI :
10.1109/CNSM.2010.5691329
Filename :
5691329
Link To Document :
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