Simulation experiments demonstrate improved energy consumption and system performance in cloud environments, highlighting AI-driven scheduling and optimization techniques.
Virtual Machine (VM) mobility is crucial in dynamic cloud environments to achieve efficient resource utilization, high availability, and reduced operational costs. This paper investigates the advanced strategies for VM migration, focusing on optimization techniques, AI-driven scheduling, security concerns, and real-time migration scenarios. Simulation experiments demonstrate how these strategies enhance system performance, minimize downtime, and reduce energy consumption compared to traditional approaches.
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Singh et al. (2025) studied this question.
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