Abstract | ||
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Large-scale distributed systems e.g., datacenters, HPC systems, clouds, large-scale networks, etc. consume and will consume enormous amounts of energy. Therefore, accurately monitoring the power and energy consumption of these systems is increasingly more unavoidable. The main novelty of this contribution is the analysis and evaluation of different external and internal power monitoring devices tested using two different computing systems, a server and a desktop machine. Furthermore, we also provide experimental results for a variety of benchmarks which exercise intensively the main components CPU, Memory, HDDs, and NICs of the target platforms to validate the accuracy of the equipment in terms of power dispersion and energy consumption. This paper highlights that external wattmeters do not offer the same measures as internal wattmeters. Thanks to the high sampling rate and to the different measured lines, the internal wattmeters allow an improved visualization of some power fluctuations. However, a high sampling rate is not always necessary to understand the evolution of the power consumption during the execution of a benchmark. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-40517-4_1 | EE-LSDS |
Keywords | Field | DocType |
Wattmeters,Energy and power analysis,Power profiling,Servers | Visualization,Server,Sampling (signal processing),Real-time computing,Novelty,Engineering,Energy consumption,Computing systems,Power consumption | Conference |
Volume | ISSN | Citations |
8046 | 0302-9743 | 11 |
PageRank | References | Authors |
0.74 | 11 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammed el Mehdi Diouri | 1 | 59 | 5.08 |
Manuel F. Dolz | 2 | 188 | 25.29 |
Olivier Glück | 3 | 72 | 8.06 |
Laurent Lefèvre | 4 | 395 | 50.87 |
Pedro Alonso | 5 | 124 | 17.75 |
Sandra Catalán | 6 | 58 | 12.59 |
Rafael Mayo | 7 | 762 | 76.75 |
Enrique S. Quintana-Ortí | 8 | 1317 | 150.59 |