Optimizing Resource Allocation in Cloud Computing Environments using AI

Authors

  • Mingyu Zhao School of Information Science and Technology, Xi'an Huashan University, Xi'an, Shaanxi, China Author
  • Li Wei Department of Computer Science, Xi'an Huashan University, Xi'an, Shaanxi, China Author

Keywords:

Cloud computing, Resource allocation, Artificial Intelligence, Machine Learning, Reinforcement Learning, Genetic Algorithms, Neural Networks, Hybrid AI.

Abstract

Cloud computing has revolutionized the way businesses operate by providing scalable and flexible computing resources on-demand. However, efficient resource allocation remains a challenge due to the dynamic nature of workloads and the complex interplay of various factors such as resource availability, performance requirements, and cost considerations. Artificial Intelligence (AI) techniques offer promising solutions to address these challenges by enabling intelligent resource allocation decisions. This research paper explores the application of AI in optimizing resource allocation in cloud computing environments. We review existing literature, discuss key challenges, and propose AI-based approaches to enhance resource allocation efficiency. Through simulations and case studies, we demonstrate the effectiveness of AI techniques in improving resource utilization, performance, and cost-effectiveness in cloud computing environments.

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Published

22-04-2024

How to Cite

Optimizing Resource Allocation in Cloud Computing Environments using AI. (2024). Asian American Research Letters Journal, 1(2). https://aarlj.com/index.php/AARLJ/article/view/34

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