Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing

Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing

Abstract The growing complexity of cloud computing necessitates astute workload allocation and adaptive resource management to enhance performance while minimizing expenses and energy consumption. Conventional optimization methods, including Improved Ant Colony Optimization (IACO) and Water Wave Opt...

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Main Authors: Umesh Kumar Lilhore, Sarita Simaiya, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Yogesh Kumar Sharma, Roobaea Alroobaea, Hamed Alsufyani, Majed Alsafyani, M. D. Monish Khan
Format: Article
Language:English
Published: Springer 2025-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Improved ACO-WWO
Deep reinforcement learning
Cloud resource optimization
Adaptive scheduling
Energy-efficient computing
Hybrid metaheuristics
Online Access:https://doi.org/10.1007/s44196-025-00882-9
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https://doi.org/10.1007/s44196-025-00882-9

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