Research Article
Towards Green Data Centers
@INPROCEEDINGS{10.1007/978-3-030-45694-8_23, author={Safae Bourhnane and Mohamed Abid and Rachid Lghoul and Khalid Zine-Dine and Najib Elkamoun and Driss Benhaddou}, title={Towards Green Data Centers}, proceedings={Sustainable Energy for Smart Cities. First EAI International Conference, SESC 2019, Braga, Portugal, December 4--6, 2019, Proceedings}, proceedings_a={SESC}, year={2020}, month={6}, keywords={Big Data Hadoop Raspberry Pi HPC Smart Grids Green Computing Cost-effectiveness Energy-efficiency}, doi={10.1007/978-3-030-45694-8_23} }- Safae Bourhnane
Mohamed Abid
Rachid Lghoul
Khalid Zine-Dine
Najib Elkamoun
Driss Benhaddou
Year: 2020
Towards Green Data Centers
SESC
Springer
DOI: 10.1007/978-3-030-45694-8_23
Abstract
Green Computing has been the trend among computer scientists for its eco-friendliness. It serves as a great solution to be integrated with Smart Grids (SG). Data stemming from SGs falls under the realm of Big Data as it is voluminous, various, and has a great velocity. Hence, these data need processing and storage. For this, High-Performance Computing, through clustering a set of computers, proves necessary. Nowadays, with the hardware advances that the world is witnessing, the Raspberry Pi (RP) creates a number of opportunities to deploy cost-effective and energy-efficient clusters, which respect the concepts of Green Computing. In this paper, we are presenting the work done within a USAID sponsored project which aims at developing a SG testbed at Al Akhawayn University in Ifrane, Morocco. We are presenting the deployment of a 5-node cluster based on RPs. The cluster has Hadoop installed and runs the TestDFSIO and Terasort benchmarks for the performance analysis in addition to an energy efficiency analysis.
