133 citations · 155 across the 8 of their papers we have counts for
10 papers
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment
Minxian Xu, Chenghao Song, Huaming Wu +3
Cloud computing has been regarded as a successful paradigm for IT industry by providing benefits for both service providers and customers. In spite of the advantages, cloud computi…
Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center
Wenhong Tian, Minxian Xu, Guangyao Zhou +3
Load balancing is vital for the efficient and long-term operation of cloud data centers. With virtualization, post (reactive) migration of virtual machines after allocation is the…
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting
Jiexia Ye, Furong Zheng, Juanjuan Zhao +2
Accurate traffic state prediction is the foundation of transportation control and guidance. It is very challenging due to the complex spatiotemporal dependencies in traffic data. E…
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
Zhenning Li, Chengzhong Xu, Guohui Zhang
Inefficient traffic signal control methods may cause numerous problems, such as traffic congestion and waste of energy. Reinforcement learning (RL) is a trending data-driven approa…
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez +2
Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation…
PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing
Minxian Xu, Qiheng Zhou, Huaming Wu +3
As a key technology in the 5G era, Mobile Edge Computing (MEC) has developed rapidly in recent years. MEC aims to reduce the service delay of mobile users, while alleviating the pr…