Jianpeng Lin

According to our database, Jianpeng Lin authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Public Datasets for Cloud Computing: A Comprehensive Survey.

Guozhi Liu, Weiwei Lin, Haotong Zhang, Jianpeng Lin, Shaoliang Peng, Keqin Li

ACM Comput. Surv., August, 2025

An adversarial reinforcement learning method to enhance server energy efficiency via DVFS and dynamic fan speed management.

Wenjun Lin, Jianpeng Lin, Jiachun Li, Mian Guo, Ligang He, Weiwei Lin

Computing, July, 2025

Power Management Optimization for Data Centers: A Power Supply Perspective.

Huikang Huang, Weiwei Lin, Jianpeng Lin, Keqin Li

IEEE Trans. Sustain. Comput., 2025

2024

Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review.

Jianpeng Lin, Weiwei Lin, Huikang Huang, Wenjun Lin, Keqin Li

IEEE Trans. Sustain. Comput., 2024

A systematic review of green-aware management techniques for sustainable data center.

Weiwei Lin, Jianpeng Lin, Zhiping Peng, Huikang Huang, Wenjun Lin, Keqin Li

Sustain. Comput. Informatics Syst., 2024

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control.

Wenjun Lin, Weiwei Lin, Jianpeng Lin, Haocheng Zhong, Jiangtao Wang, Ligang He

Sustain. Comput. Informatics Syst., 2024

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers.

Jianpeng Lin, Weiwei Lin, Wentai Wu, Wenjun Lin, Keqin Li

Future Gener. Comput. Syst., 2024

2023

UDL: a cloud task scheduling framework based on multiple deep neural networks.

Qirui Li, Zhiping Peng, Delong Cui, Jianpeng Lin, Hao Zhang

J. Cloud Comput., December, 2023

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., October, 2023

Power and thermal-aware virtual machine scheduling optimization in cloud data center.

Rui Chen, Bo Liu, Weiwei Lin, Jianpeng Lin, Huiwen Cheng, Keqin Li

Future Gener. Comput. Syst., August, 2023

Thermal-aware virtual machine placement based on multi-objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., 2023

2022

MHDNNL: A Batch Task Optimization Scheduling Algorithm in Cloud Computing.

Qirui Li, Zhiping Peng, Delong Cui, Jianpeng Lin, Jieguang He

Int. J. Inf. Technol. Web Eng., 2022

A Novel Interpretable Stock Selection Algorithm for Quantitative Trading.

Zhengrui Li, Weiwei Lin, James Z. Wang, Peng Peng, Jianpeng Lin, Victor Chang, Jianghu Pan

Int. J. Grid High Perform. Comput., 2022

Two-stage selection of distributed data centers based on deep reinforcement learning.

Qirui Li, Zhiping Peng, Delong Cui, Jianpeng Lin, Jieguang He

Clust. Comput., 2022

2020

A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm.

Zhiping Peng, Jianpeng Lin, Delong Cui, Qirui Li, Jieguang He

Clust. Comput., 2020

A Two-Stage Framework for the Multi-User Multi-Data Center Job Scheduling and Resource Allocation.

Jianpeng Lin, Delong Cui, Zhiping Peng, Qirui Li, Jieguang He

IEEE Access, 2020

2018

Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling.

Jianpeng Lin, Zhiping Peng, Delong Cui

Proceedings of the Neural Information Processing - 25th International Conference, 2018