Name
Abstract | ||
|---|---|---|
The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TPDS.2014.2361519 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
energy-efficiency,cooling control,data centers,leakage power,servers,energy efficiency,resource management,temperature measurement,mathematical model | Resource management,Leakage (electronics),Efficient energy use,Workload,Computer science,Server,Real-time computing,Dynamic demand,Data center,Energy consumption,Distributed computing | Journal |
Volume | Issue | ISSN |
PP | 99 | 1045-9219 |
Citations | PageRank | References |
10 | 0.61 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| marina zapater | 1 | 54 | 10.70 |
| ozan tuncer | 2 | 26 | 3.34 |
| José L. Ayala | 3 | 180 | 20.44 |
| José Manuel Moya | 4 | 114 | 18.82 |
| Kalyan Vaidyanathan | 5 | 51 | 3.78 |
| Kenny Gross | 6 | 51 | 3.44 |
| Ayse K. Coskun | 7 | 573 | 33.55 |