Uma análise do consumo de energia de ambientes de processamento de dados massivos em nuvem
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 data produced in distributed environments to assess how power consumption of virtualized big-data applications varies on allocated resources.