Uma análise do consumo de energia de ambientes de processamento de dados massivos em nuvem

Nestor D. O. Volpini, Vinicius S. Conceição, Raphael L. Pontes, Dorgival Guedes
2018 Anais do Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance)   unpublished
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
more » ... in distributed environments to assess how power consumption of virtualized big-data applications varies on allocated resources.
doi:10.5753/wperformance.2018.3338 fatcat:hnvqxors2fc45mnroe3umnqv2y