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On Energy Efficiency and Performance Evaluation of Single Board Computer Based Clusters: A Hadoop Case Study

dc.contributor.authorQureshi, Basit
dc.contributor.authorKoubâa, Anis
dc.date.accessioned2019-03-01T16:52:02Z
dc.date.available2019-03-01T16:52:02Z
dc.date.issued2019
dc.description.abstractEnergy efficiency in a data center is a challenge and has garnered researchers interest. In this study, we addressed the energy efficiency issue of a small scale data center by utilizing Single Board Computer (SBC)-based clusters. A compact layout was designed 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 consumption. Further, we investigated the cost of operating SBC-based clusters by correlating energy utilization for the execution time of various benchmarks using workloads of different sizes. Results show that, although the low-cost benefit of a cluster built with ARM-based SBCs is desirable, these clusters yield low comparable performance and energy efficiency due to limited onboard capabilities. It is possible to tweak Hadoop configuration parameters for an ARM-based SBC cluster to efficiently utilize resources. We present a discussion on the effectiveness of the SBC-based clusters as a testbed for inexpensive and green cloud computing research.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/electronics8020182pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/12935
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2079-9292/8/2/182pt_PT
dc.subjectGreen cloud computingpt_PT
dc.subjectARM32 single board computerspt_PT
dc.subjectHadoop MapReducept_PT
dc.subjectPower consumptionpt_PT
dc.subjectPerformance evaluationpt_PT
dc.titleOn Energy Efficiency and Performance Evaluation of Single Board Computer Based Clusters: A Hadoop Case Studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage26pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleElectronicspt_PT
oaire.citation.volume8pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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