AI-APPROACHES TO RESOURCE OPTIMIZATION IN DYNAMIC CLOUD INFRASTRUCTURES
Keywords:
AI, artificial intelligence, Cloud technologies, cyber securityAbstract
This paper explores modern artificial intelligence (AI)-based approaches to resource optimization in cloud computing environments. It focuses on the use of deep reinforcement learning, evolutionary algorithms, and federated learning for managing dynamic workloads, enhancing energy efficiency, and ensuring cybersecurity. Recent studies demonstrating the advantages of hybrid AI systems are reviewed and generalized. The paper also emphasizes the importance of integrating such approaches into multi-tenant cloud infrastructures, taking into account platform-specific constraints and emerging threat vectors. Special attention is paid to data confidentiality, fault tolerance, and compliance with international security standards.
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