VM Migration Strategies : A Review of Approaches and Challenges

  • Unique Paper ID: 182863
  • Volume: 11
  • Issue: 10
  • PageNo: 7411-7421
  • Abstract:
  • Virtual Machine (VM) migration is a fundamental capability in cloud computing that enables dynamic load balancing, fault tolerance, energy efficiency, and system maintenance without significant service disruption. This paper presents a comprehensive review of VM migration techniques, categorizing them based on execution state, migration mechanism, resource granularity, and scope. Key performance metrics such as total migration time, downtime, bandwidth consumption, energy usage, and SLA violations are examined to evaluate migration effectiveness. The paper explores various tools and platforms supporting VM migration, including VMware vMotion, Xen, KVM, OpenStack, and container-based solutions like CRIU and KubeVirt. A comparative analysis of recent research contributions highlights the growing use of AI/ML, metaheuristic optimization, and predictive modeling to enhance migration decisions. Despite these advancements, several open issues persist, such as migration latency, network bottlenecks, security vulnerabilities, and limited support for large-scale or edge deployments. Future research is expected to focus on intelligent orchestration, secure and auditable migration using blockchain, energy-aware VM placement, and lightweight migration frameworks suited for edge and multi-cloud environments. This review aims to serve as a foundational reference for researchers and practitioners seeking to develop scalable, secure, and efficient VM migration solutions for evolving cloud infrastructures.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 7411-7421

VM Migration Strategies : A Review of Approaches and Challenges

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