不公开
发表于 2025-3-28 17:21:24
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使无效
发表于 2025-3-28 19:38:00
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上坡
发表于 2025-3-29 02:28:42
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instill
发表于 2025-3-29 05:29:32
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信徒
发表于 2025-3-29 09:50:07
Dynamic Virtual Machine Consolidation Algorithms for Energy-Efficient Cloud Resource Management: AVMC is highly popular research topic and plethora of researchers are presently working in this area, the related literature is extremely broad. Hence, it is a non-trivial research work to cover such extensive literature and find strong distinguishing aspects based on which VMC algorithms can be cla
FER
发表于 2025-3-29 14:37:03
Energy Saving in Cloud by Using Enhanced Instance Based Learning (EIBL) for Resource Prediction,h increase in computational and storage needs of business users who are moving their applications and data to cloud, scaling of cloud resources at the providers end, results in increased energy consumption and carbon dioxide emissions. This necessitates looking for possible energy saving approaches
使人入神
发表于 2025-3-29 19:16:42
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思想
发表于 2025-3-29 23:20:43
Optimal Sizing of a Micro-Hydrokinetic Pumped-Hydro-Storage Hybrid System for Different Demand Sectng HOMER Legacy Version). The objective is to validate the best economical approach for sizing a hydrokinetic hybrid system. The second objective of the study is to investigate the effect brought by different demand sectors such as residential, commercial, and industrial load on sizing and operation