| Autor: |
Jóakim von Kistowski, Samuel Kounev |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
EAI Endorsed Transactions on Energy Web, Vol 3, Iss 10, Pp 1-4 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2032-944X |
| DOI: |
10.4108/eai.14-12-2015.2262579 |
| Popis: |
Performance and power scale non-linearly with device utilization, making characterization and prediction of energy efficiency at a given load level a challenging issue. A common approach to address this problem is the creation of power or performance state tables for a pre-measured subset of all possible system states. Approaches to determine performance and power for a state not included in the measured subset use simple interpolation, such as nearest neighbor interpolation, or define state switching rules. This leads to a loss in accuracy, as unmeasured system states are not considered. In this paper, we compare different interpolation functions and automatically configure and select functions for a given domain or measurement set. We evaluate our approach by comparing interpolation of measurement data subsets against power and performance measurements on a commodity server. We show that for non-extrapolating models interpolation is significantly more accurate than regression, with our automatically configured interpolation function improving modeling accuracy up to 43.6%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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