Intelligent VM Replication for Enhanced Fault Tolerance in Cloud Computing
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Date
2024
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Abstract
Cloud computing is a paradigm that allows users to access shared computing resources
over the internet, enabling rapid provisioning and scaling of resources with minimal management
effort or service provider interaction.
This research explores an innovative method for improving fault tolerance in cloud
computing environments through intelligent virtual machine (VM) replication. The study
specifically addresses the challenge of reacting to faults in hosts. It proposes a novel
approach that considers cost factors and historical fault occurrences on specific hosts to
intelligently select VMs for replication. The thesis demonstrates the effectiveness of this
approach in improving fault tolerance through theoretical analysis, empirical evaluation,
and practical implementation. Key findings include identifying fault-prone hosts, selecting
VMs, and implementing proactive fault management strategies.
It provides valuable insights and recommendations for cloud service providers and
end-users, highlighting the potential benefits and challenges of intelligent VM replication.