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YUGO Framework: An Adaptive VM Consolidation Strategy using Hybrid Workload Prediction and Reinforcement Learning for Green Cloud Computing

https://doi.org/10.2139/ssrn.6439498
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.1867openalex-snapshot
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
inferredcites →https://doi.org/10.1007/s00607-025-01493-0openalex-snapshot
A new optimization algorithm based on the integration of reinforcement learning and HHO algorithm for virtual machine placement in cloud data centers
inferredcites →https://doi.org/10.1007/s10586-023-03983-2openalex-snapshot
Energy-aware QoS-based dynamic virtual machine consolidation approach based on RL and ANN
inferredcites →https://doi.org/10.1007/s10723-022-09603-4openalex-snapshot
Scalable Virtual Machine Migration using Reinforcement Learning
inferredcites →https://doi.org/10.1007/s10723-025-09798-2openalex-snapshot
An Intelligent VM Placement Method for Minimizing Energy Cost and Carbon Emission in Distributed Cloud Data Centers
inferredcites →https://doi.org/10.1007/s11227-024-06510-1openalex-snapshot
A reinforcement learning-based GWO-RNN approach for energy efficiency in data centers by minimizing virtual machine migration
inferredcites →https://doi.org/10.1007/s12293-016-0218-xopenalex-snapshot
A reinforcement learning approach for the scheduling of live migration from under utilised hosts
inferredcites →https://doi.org/10.1016/j.apenergy.2022.120561openalex-snapshot
Deep reinforcement learning towards real-world dynamic thermal management of data centers
inferredcites →https://doi.org/10.1016/j.apenergy.2025.125734openalex-snapshot
Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap
inferredcites →https://doi.org/10.1109/access.2020.2966673openalex-snapshot
Performance-to-Power Ratio Aware Resource Consolidation Framework Based on Reinforcement Learning in Cloud Data Centers
inferredcites →https://doi.org/10.1109/access.2025.3604711openalex-snapshot
Ŷ UGO: Enhancing Power Consumption Predictions in Data Centers Through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load
inferredcites →https://doi.org/10.1109/netcrypt65877.2025.11102620openalex-snapshot
Sustainable Energy Utilization Strategy in Green Cloud Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tpds.2019.2893648openalex-snapshot
Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines
inferredcites →https://doi.org/10.1109/tsusc.2024.3391791openalex-snapshot
CFWS: DRL-Based Framework for Energy Cost and Carbon Footprint Optimization in Cloud Data Centers
inferredcites →https://doi.org/10.11591/ijai.v14.i2.pp1150-1163openalex-snapshot
Performance assessment of time series forecasting models for simple network management protocol-based hypervisor data
inferredcites →https://doi.org/10.3390/computers14070280openalex-snapshot
Carbon-Aware, Energy-Efficient, and SLA-Compliant Virtual Machine Placement in Cloud Data Centers Using Deep Q-Networks and Agglomerative Clustering
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