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.NI20241 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.AI20244 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.DC20244 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.DC20248 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.DC20242 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…