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Anais do Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance)
Massive data processing (big-data) related fields and cloud computing have been growing conjointly. Thus, data processing is among the largest resource consumers in datacenters, consuming around 2% of global energy. Comprehension of how elements such as virtualized environments and applications' parallelization degree affect such consumption is therefore an urgent need. This article relies on a monitoring solution that provides performance metrics, data mining application logs, and datadoi:10.5753/wperformance.2018.3338 fatcat:hnvqxors2fc45mnroe3umnqv2y