2017
DOI: 10.1007/s10586-017-0889-1
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Novel power reduction framework for enhancing cloud computing by integrated GSNN scheduling method

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Cited by 2 publications
(3 citation statements)
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“…Te energy variations with the utilization level of CPU for proposed PRH-EM and existing MD_MMT [28] show the efective reduction of energy consumption in PRH-EM.…”
Section: Energy Consumption Te Energy Model Creation In Thismentioning
confidence: 87%
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“…Te energy variations with the utilization level of CPU for proposed PRH-EM and existing MD_MMT [28] show the efective reduction of energy consumption in PRH-EM.…”
Section: Energy Consumption Te Energy Model Creation In Thismentioning
confidence: 87%
“…Te migration and placement techniques in traditional approaches were not considered the utilization scenarios (overutilization/underutilization) and the job priority levels that lead to excessive energy consumption and less proft. Recent advances in cloud data centers and their energy-efcient methods were discussed in the following references [28][29][30][31].…”
Section: Related Workmentioning
confidence: 99%
“…At present, the urban heat island effect has become one of the common environmental problems in the world. The urban heat island phenomenon has not only brought many adverse effects to the urban environment, but also brought significant harm in aggravating climate change, increasing air pollution and affecting human health [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%