most citedApplication of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024★ 1 cited

Integration of Computer Networks and Artificial Neural Networks for an AI-based Network Operator

Binbin Wu, Jingyu Xu, Yifan Zhang +3

This paper proposes an integrated approach combining computer networks and artificial neural networks to construct an intelligent network operator, functioning as an AI model. Stat…

cs.AI2024★ 4 cited

Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis

Jingyu Xu, Binbin Wu, Jiaxin Huang +3

The medical field is one of the important fields in the application of artificial intelligence technology. With the explosive growth and diversification of medical data, as well as…

cs.DC2024★ 4 cited

Dynamic Resource Allocation for Virtual Machine Migration Optimization using Machine Learning

Yulu Gong, Jiaxin Huang, Bo Liu +3

The paragraph is grammatically correct and logically coherent. It discusses the importance of mobile terminal cloud computing migration technology in meeting the demands of evolvin…

cs.DC2024★ 8 cited

Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management

Yifan Zhang, Bo Liu, Yulu Gong +3

In recent years, cloud computing has been widely used. Cloud computing refers to the centralized computing resources, users through the access to the centralized resources to compl…

cs.DC2024★ 2 cited

Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization

Zheng Xu, Yulu Gong, Yanlin Zhou +2

With the continuous expansion of the scale of cloud computing applications, artificial intelligence technologies such as Deep Learning and Reinforcement Learning have gradually bec…