Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing

Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing

Cloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. Efficient load balancing is essential to maintain optimal performance and maximize resource utilization, ensuring an even distribution of network traffic across servers, pre...

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Bibliographic Details
Main Authors: Mallu Shiva Rama Krishna, D. Khasim Vali
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Task scheduling
Q-learning
cloud computing
reinforcement learning
dynamic load balancing
enhanced hybrid lyrebird falcon optimization
Online Access:https://ieeexplore.ieee.org/document/10900381/
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