Citation :

Khaja Kamaluddin, 2023. "Energy-Efficient VM Consolidation in Cloud Data Centers Using Heuristic Scheduling Algorithms" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 3: 201-211.

Abstract :

Energy-efficient virtual machine (VM) consolidation has become a critical technique for reducing power consumption in cloud data centers. This review explores the role of heuristic and metaheuristic scheduling algorithms in optimizing consolidation decisions to minimize energy use while maintaining service quality. It provides an in-depth analysis of commonly used approaches such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, alongside their trade-offs in performance, scalability, and migration overhead. The paper also outlines key evaluation metrics and identifies current limitations in deployment, including scalability, hardware heterogeneity, and lack of standardized benchmarking. Finally, it highlights emerging research directions, such as integration with renewable energy models and learning-enhanced heuristics. The review aims to guide researchers toward more sustainable and practical solutions for intelligent resource management in modern cloud environments.

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Keywords :

Heuristic Algorithms, Energy Efficiency, VM ConsolidationHeuristic Algorithms, Energy Efficiency, VM Consolidation.