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A Three-Stage Adaptive Task Scheduling Strategy for Load Balancing in Cloud Computing
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DOI：10.1016/j.future.2026.108420.png)
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Abstract
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• Three-stage adaptive task scheduling optimizes resource allocation in cloud computing. • Historical task data improves task–VM type matching accuracy and efficiency. • Selective task migration achieves balanced VM utilization and avoids overload. • Proposed strategy reduces VM load imbalance to less than 9.
Keywords:
adaptive task scheduling
cloud computing
load balancing
virtual machine utilization
task migration
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