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...

Full description

Saved in:
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items