Penghao Sun
Orcid: 0000-0002-8606-9337
According to our database1,
Penghao Sun
authored at least 30 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Inf. Syst., March, 2023
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Learning-based Data Separation for Write Amplification Reduction in Solid State Drives.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes.
IEEE/ACM Trans. Netw., 2022
An optimal defensive deception framework for the container-based cloud with deep reinforcement learning.
IET Inf. Secur., 2022
Defensive deception framework against reconnaissance attacks in the cloud with deep reinforcement learning.
Sci. China Inf. Sci., 2022
2021
A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control.
IEEE Commun. Lett., 2021
Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement.
IEEE Commun. Lett., 2021
ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering in SDN with Pinning Control.
Comput. Networks, 2021
Comput. Networks, 2021
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
2020
Polymorphic Smart Network: An Open, Flexible and Universal Architecture for Future Heterogeneous Networks.
IEEE Trans. Netw. Sci. Eng., 2020
J. Commun. Networks, 2020
FTLink: Efficient and flexible link fault tolerance scheme for data plane in Software-Defined Networking.
Future Gener. Comput. Syst., 2020
Comput. Networks, 2020
MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning.
Comput. Networks, 2020
SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning.
Comput. Networks, 2020
Comput. Networks, 2020
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Future Gener. Comput. Syst., 2019
ACST: Audit-based compromised switch tolerance for enhancing data plane robustness in software-defined networking.
Comput. Networks, 2019
SINET: Enabling Scalable Network Routing with Deep Reinforcement Learning on Partial Nodes.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019
2018
IEICE Trans. Inf. Syst., 2018
Online Load Balancing for Distributed Control Plane in Software-Defined Data Center Network.
IEEE Access, 2018
2017
J. Commun. Inf. Networks, 2017
2016
An Optimized Deployment Mechanism for Virtual Middleboxes in NFV- and SDN-Enabling Network.
KSII Trans. Internet Inf. Syst., 2016