Jianpeng Lin

Orcid: 0000-0001-6766-431X

According to our database1, Jianpeng Lin authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review.
IEEE Trans. Sustain. Comput., 2024

A systematic review of green-aware management techniques for sustainable data center.
Sustain. Comput. Informatics Syst., 2024

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control.
Sustain. Comput. Informatics Syst., 2024

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers.
Future Gener. Comput. Syst., 2024

2023
UDL: a cloud task scheduling framework based on multiple deep neural networks.
J. Cloud Comput., December, 2023

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization.
J. Supercomput., October, 2023

Power and thermal-aware virtual machine scheduling optimization in cloud data center.
Future Gener. Comput. Syst., August, 2023

Thermal-aware virtual machine placement based on multi-objective optimization.
J. Supercomput., 2023

2022
MHDNNL: A Batch Task Optimization Scheduling Algorithm in Cloud Computing.
Int. J. Inf. Technol. Web Eng., 2022

A Novel Interpretable Stock Selection Algorithm for Quantitative Trading.
Int. J. Grid High Perform. Comput., 2022

Two-stage selection of distributed data centers based on deep reinforcement learning.
Clust. Comput., 2022

2020
A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm.
Clust. Comput., 2020

A Two-Stage Framework for the Multi-User Multi-Data Center Job Scheduling and Resource Allocation.
IEEE Access, 2020

2018
Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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