Um modelo analítico para estimar o consumo de energia de sistemas multi-camadas no nível de transação
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2017-04-25
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Universidade Federal de Goiás
Resumo
In large-scale data centers, power management techniques such as Dynamic Voltage/Frequency
Scaling (DVFS), virtual machine consolidation, and power-capping mechanisms
promise impressive energy savings compared to traditional resource management
strategies. Most of these techniques rely on coarse-grained monitoring of the workload
behavior to apply their optimizations. However, coarse-grained monitoring and
black box observations are not satisfactory for predicting the behavior of bursty workloads
such as those observed in enterprise, Web servers. In this work, we propose an
analytical model to estimate the energy consumption of multi-tier Web Systems. Differently
from previous works, our model captures the consumption pattern at the level of
fine-grained transactions and for each tier of the system. In addition, our model is based
only on CPU utilization and server architectural parameters, which can be easily obtained
in today’s production environments. We demonstrate the effectiveness of our model in a
real-world experimentation environment, based on the TPC-W benchmark. Results show
that our model is able to estimate the energy consumption for a Web system with an average
relative error of 6.5% in the worst-case scenario, whereas more complex models of
the literature present errors within the same order of magnitude.
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FERREIRA, A. R. Um modelo analítico para estimar o consumo de energia de sistemas multi-camadas no nível de transação. 2017. 58 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017.