Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CNSM.2010.5691329 | Network and Service Management |
Keywords | Field | DocType |
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,Energy Demand Management,Energy Supply Management,Power Capping,component | Power management,Renewable energy,Energy demand management,Computer science,Operations research,Real-time computing,Dynamic demand,Data center,Intermittent energy source,Power usage effectiveness,Electricity generation,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4244-8908-4 | 17 | 1.78 |
References | Authors | |
7 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Gmach | 1 | 818 | 43.97 |
| Jerry Rolia | 2 | 641 | 47.35 |
| Cullen Bash | 3 | 455 | 30.74 |
| Yuan Chen | 4 | 378 | 16.13 |
| Tom Christian | 5 | 86 | 13.69 |
| Amip Shah | 6 | 116 | 12.57 |
| Ratnesh K. Sharma | 7 | 483 | 53.37 |
| Zhikui Wang | 8 | 1291 | 71.29 |