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Fig. 5 Hadoop K-means: Performance vs. Core Frequency Scaling.
This shows that there is an excellent scaling between core frequency and performance so we can use this scaling factor for core frequency in the performance model.
We also propose an analytical model to estimate power consumption scaling for different processor core frequency.
The dynamic power equation is a function of input voltage V and core frequency f.
6) Hadoop K-means Performance Scaling for AMD with respect to core frequency .
Hadoop K-means Performance Scaling for AMD with respect to core frequency.
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This figure shows the saved energy using per-core frequency scaling on two cores.
Figure 1 Saved energy on non-uniform per-core frequency technology.
Among these [18] is particular interesting, because it considers per-core frequency.
Firstly, with per-core frequency scaling, the number of frequency combinations of the cores grows exponentially.
This has been enabled by the latest technologies which support per-core frequency setting in multicore architectures [10].
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