The surging energy requirements and the impact on the environment of the cloud data center suggests the necessity of establishing intelligent resource management plans to facilitate sustainability. The proposed hybrid framework which incorporates hybrid dynamic virtual machine (VM) consolidation based on the idea of artificial intelligence (AI) with ...
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AI-driven optimization in cloud computing: a systematic review of cost, resource management, and security. [PDF]
López RSI +5 more
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Energy-efficient cloud systems: Virtual machine consolidation with Γ -robustness optimization. [PDF]
Han X, Wang J, Wu J, Song J.
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Motivation meets sleep: tuning arousal via nucleus accumbens and Basal Ganglia circuits. [PDF]
Sayegh FJP, Bonnavion P.
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Sustainable Control of Carbon Emissions and Energy Consumption Through a Green Data Center Approach. [PDF]
Afzal Y +8 more
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An Efficient Virtual Machine Consolidation Algorithm for Cloud Computing. [PDF]
Yuan L, Wang Z, Sun P, Wei Y.
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Energy-conscious scheduling in edge environments: hybridization of traditional control and DE algorithm. [PDF]
Ma K, Xu L.
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Deep patch-clamp recordings in awake mice from medial septal neurons during hippocampal sharp-wave ripples. [PDF]
Samejima H +3 more
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A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]
Al-Jumaili AHA +4 more
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Neural circuits and emotional processing in rapid eye movement sleep. [PDF]
Chang LY +5 more
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