Green Cloud Computing: An Experimental Validation

High Performance Computing Symposium 2013

计算机科学;物理学

Monteiro, Rogerio Castellar^1 ; Dantas, M.A.R.^1 ; Rodriguez Y Rodriguez, Martius Vicente^2

Research Laboratory of Distributed Systems (LaPeSD), Department of Informatics and Statistic (INE), Federal University of Federal Santa Catarina (UFSC), Florianopolis, SC

40-900, Brazil^1

Programa de Pós-graduação em Administração-PPGAd, Faculdade de Administração e Contabilidade-EST, Universidade Federal Fluminense-UFF, Rua São Paulo, Centro, -Niteroi, RJ

24020, Brazil^2

关键词: Computational environments;    Computational resources;    Cost efficiency;    Empirical experiments;    Experimental validations;    Green cloud computing;    Large organizations;    Network devices;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/540/1/012005/pdf
DOI  :  10.1088/1742-6596/540/1/012005

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Cloud configurations can be computational environment with interesting cost efficiency for several organizations sizes. However, the indiscriminate action of buying servers and network devices may not represent a correspondent performance number. In the academic and commercial literature, some researches highlight that these environments are idle for long periods. Therefore, energy management is an essential approach in any organization, because energy bills can causes remarkable negative impacts to these organizations in term of costs. In this paper, we present a research work that is characterized by an analysis of energy consumption in a private cloud computing environment, considering both computational resources and network devices. This study was motivated by a real case of a large organization. Therefore, the first part of the study we considered empirical experiments. In a second moment we used the GreenCloud simulator which was utilized to foresee some different configurations. The research reached a successful and differentiated goal in presenting key issues from computational resources and network, related to the energy consumption for real private cloud.