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Dynamic Feedback-driven Adaptive Queue-based Load Balancing in Cloud Environment
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DOI：10.1016/j.future.2026.108460.png)
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Abstract
En 中文
• Proposes DFAQ-LB, a queue-based algorithm for dynamic cloud task scheduling. • Uses queue trends and feedback to reduce latency in high-load cloud scenarios. • Introduces weighted VM health metrics for fine-grained resource allocation. • Enables proactive task migration based on real-time congestion thresholds
Keywords:
DFAQ-LB
cloud task scheduling
queue-based load balancing
proactive task migration
VM health metrics
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