Artificial Intelligence Driven Decision Systems for Optimizing Resource Allocation in Cloud Engineering
Keywords:
Artificial Intelligence, Cloud Engineering, Resource Allocation, Decision Systems, OptimizationAbstract
The rise of cloud computing has brought unprecedented opportunities for resource optimization but also significant challenges in efficiently managing resources across dynamic environments. Artificial Intelligence (AI)-driven decision systems offer robust Solutions for optimizing resource allocation by predicting workloads, automating scaling, and minimizing costs. This paper examines AI methodologies for cloud resource allocation, reviews literature up to 2021, and discusses challenges and practical applications.
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Copyright (c) 2025 James Dickinson Philip (Author)
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