F
Fangmin Xu
Researcher at Peking University
Publications - 18
Citations - 420
Fangmin Xu is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & Software-defined networking. The author has an hindex of 7, co-authored 10 publications receiving 239 citations. Previous affiliations of Fangmin Xu include Beijing University of Posts and Telecommunications.
Papers
More filters
Journal ArticleDOI
Blockchain-Based Software-Defined Industrial Internet of Things: A Dueling Deep ${Q}$ -Learning Approach
TL;DR: This paper proposes a blockchain (BC)-based consensus protocol in SDIIoT, along with detailed consensus steps and theoretical analysis, where BC works as a trusted third party to collect and synchronize network-wide views between different SDN controllers.
Journal ArticleDOI
Deep Q-Learning Aided Networking, Caching, and Computing Resources Allocation in Software-Defined Satellite-Terrestrial Networks
TL;DR: This paper proposes a software-defined STN to manage and orchestrate networking, caching, and computing resources jointly, and forms the joint resources allocation problem as a joint optimization problem, and uses a deep Q-learning approach to solve it.
Proceedings ArticleDOI
Blockchain-Based Distributed Software-Defined Vehicular Networks via Deep Q-Learning
TL;DR: This paper uses a permissioned blockchain approach to reach consensus in distributed SDVN, and virtualizes the underlying resources (e.g., computing resources and networking resources), jointly considering the trust features of blockchain nodes to improve the throughput.
Journal ArticleDOI
A novel QoS-enabled load scheduling algorithm based on reinforcement learning in software-defined energy internet
TL;DR: A novel controller mind (CM) framework to implement automatic management among multiple controllers based on reinforcement learning is presented and results show the effectiveness of the proposed scheme in the aspects of load variation and time efficiency.
Journal ArticleDOI
Sleeping mode of multi-controller in green software-defined networking
TL;DR: This paper proposes an M-N policy multiple-controller sleeping mode by switching off redundant controllers when the system is in the light traffic condition and uses queuing theory to model the operation procedure of controllers and formulate the energy consumption management issue as a 0-1 integer linear programming model.