QHRMOF: A Quantum-Inspired hybrid Multi-Objective framework for Energy-Efficient task scheduling and load balancing in cloud computing

Abstract The swift expansion of cloud computing services has resulted in a notable increase in energy consumption, presenting challenges for sustainability and effective resource management in cloud data centres. This paper introduces a novel Quantum-Inspired Hybrid Reinforcement Learning and Multi-...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Umesh Kumar Lilhore, Scaria Alex, Vince Paul, Rahoof Puthan Purayil, Sultan Mesfer A Aldossary, Sarita Simaiya, Ehab seif Ghith, Heba G. Mohamed, Monish Khan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	SpringerOpen 2025-10-01
Sarja:	Journal of Cloud Computing: Advances, Systems and Applications
Aiheet:	Cloud computing Quantum-Inspired evolutionary algorithm Deep reinforcement learning Multi-Objective optimization Task scheduling Load balancing
Linkit:	https://doi.org/10.1186/s13677-025-00777-2
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