Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy

Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy

Cloud computing faces growing challenges in energy consumption due to the increasing demand for services and resource usage in data centers. To address this issue, we propose a novel energy-efficient virtual machine (VM) placement strategy that integrates reinforcement learning (Q-learning), a Firef...

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Bibliographic Details
Main Authors: Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Network
Subjects:
cloud computing
server consolidation
energy consumption
firefly optimization
machine learning
Q-learning
Online Access:https://www.mdpi.com/2673-8732/5/2/17
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