2019
DOI: 10.3390/electronics8020182
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On Energy Efficiency and Performance Evaluation of Single Board Computer Based Clusters: A Hadoop Case Study

Abstract: Energy efficiency in a data center is a challenge and has garnered researchers interest. In this paper we address the energy efficiency issue of a small scale data center by utilizing Single Board Computer (SBC) based clusters. A compact design layout is presented to build two clusters using 20 nodes each. Extensive testing was carried out to analyze the performance of these clusters using popular performance benchmarks for task execution time, memory/storage utilization, network throughput and energy consumpt… Show more

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Cited by 17 publications
(5 citation statements)
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References 38 publications
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“…(1) Definition of energy efficiency The concept of energy efficiency was first proposed by foreign scholars, and later scholars gradually added environmental protection, economic and other indicators in the research process for evaluation [8]. Energy efficiency refers to the degree to which energy is effectively utilized.…”
Section: Energy Efficiency Evaluation Researchmentioning
confidence: 99%
“…(1) Definition of energy efficiency The concept of energy efficiency was first proposed by foreign scholars, and later scholars gradually added environmental protection, economic and other indicators in the research process for evaluation [8]. Energy efficiency refers to the degree to which energy is effectively utilized.…”
Section: Energy Efficiency Evaluation Researchmentioning
confidence: 99%
“…Penggunaan cluster SBC dalam proses enkripsi RSA dapat mengungguli satu komputer pribadi multicore [12][8] dengan biaya pembelian perangkat yang sama. Biaya operasi cluster SBC juga jauh lebih efisien jika dibandingkan dengan satu komputer pribadi multicore [13][14] [15].…”
Section: Pendahuluanunclassified
“…The work done in [6] evaluates the energy efficiency and the performance of single board computer based clusters. The authors carried out extensive testing to analyze the performance of these clusters using popular performance benchmarks.…”
Section: Literature Reviewmentioning
confidence: 99%