Name
Abstract | ||
|---|---|---|
Power capping and energy efficiency are critical concerns in server systems, particularly when serving dynamic workloads on resource-sharing multicores. We present a new operating system facility (power and energy containers) that accounts for and controls the power/energy usage of individual fine-grained server requests. This facility is enabled by novel techniques for multicore power attribution to concurrent tasks, measurement/modeling alignment to enhance predictability, and request power accounting and control. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2254756.2254814 | SIGMETRICS |
Keywords | Field | DocType |
concurrent task,critical concern,new operating system facility,request power accounting,energy usage,energy container,individual fine-grained server request,multicore power attribution,server system,multicore server,energy efficiency,operating system,server,multicore,resource sharing,energy efficient,energy management | Predictability,Server system,Computer science,Efficient energy use,Server,Real-time computing,Multi-core processor,Operating system,Distributed computing | Conference |
Volume | Issue | ISSN |
40 | 1 | 0163-5999 |
Citations | PageRank | References |
3 | 0.40 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Shen | 1 | 475 | 32.68 |
| Arrvindh Shriraman | 2 | 292 | 17.70 |
| Sandhya Dwarkadas | 3 | 3504 | 257.31 |
| Xiao Zhang | 4 | 175 | 5.75 |