Name
Title | ||
|---|---|---|
Runtime energy consumption estimation for server workloads based on chaotic time-series approximation |
Abstract | ||
|---|---|---|
This article proposes a runtime model that relates server energy consumption to its overall thermal envelope, using hardware performance counters and experimental measurements. While previous studies have attempted system-wide modeling of server power consumption through subsystem models, our approach is different in that it links system energy input to subsystem energy consumption based on a small set of tightly correlated parameters. The proposed model takes into account processor power, bus activities, and system ambient temperature for real-time prediction on the power consumption of long running jobs. Using the HyperTransport and QuickPath Link structures as case studies and through electrical measurements on example server subsystems, we develop a chaotic time-series approximation for runtime power consumption, arriving at the Chaotic Attractor Predictor (CAP). With polynomial time complexity, CAP exhibits high prediction accuracy, having the prediction errors within 1.6% (or 3.3%) for servers based on the HyperTransport bus (or the QuickPath Links), as verified by a set of common processor benchmarks. Our CAP is a superior predictive mechanism over existing linear auto-regressive methods, which require expensive and complex corrective steps to address the nonlinear and chaotic aspects of the underlying physical system. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2355585.2355588 | TACO |
Keywords | Field | DocType |
chaotic time-series approximation,account processor power,real-time prediction,server power consumption,energy consumption,example server subsystems,high prediction accuracy,server energy consumption,power consumption,runtime power consumption,runtime energy consumption estimation,prediction error,analysis of variance | Attractor,Nonlinear system,Computer science,Physical system,Parallel computing,Server,Real-time computing,Chaotic,Small set,Energy consumption,HyperTransport | Journal |
Volume | Issue | ISSN |
9 | 3 | 1544-3566 |
Citations | PageRank | References |
8 | 0.48 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Wade Lewis | 1 | 8 | 0.48 |
| Nian-Feng Tzeng | 2 | 856 | 94.11 |
| Soumik Ghosh | 3 | 63 | 5.17 |