C
Chao Qiu
Researcher at Tianjin University
Publications - 45
Citations - 862
Chao Qiu is an academic researcher from Tianjin University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 11, co-authored 28 publications receiving 426 citations. Previous affiliations of Chao Qiu include Beijing University of Posts and Telecommunications & Peking University.
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.
Journal ArticleDOI
Networking Integrated Cloud–Edge–End in IoT: A Blockchain-Assisted Collective Q -Learning Approach
TL;DR: A blockchain-based collective $Q$ -learning (CQL) approach to address the above issues, where lightweight IoT nodes are used to train parts of learning layers, then employing blockchain to share learning results in a verifiable and permanent manner.
Journal ArticleDOI
Cloud Computing Assisted Blockchain-Enabled Internet of Things
TL;DR: This paper proposes agent mining and cloud mining approaches to solve the above problem in the blockchain-enabled IoT, and proposes a dueling deep reinforcement learning approach to address this problem.
Journal ArticleDOI
Virtual Network Embedding Using Node Multiple Metrics Based on Simplified ELECTRE Method
TL;DR: A novel two-stage VNE algorithm is presented, which chooses the substrate nodes with the maximum embedding potential to perform the node mapping procedure, and uses the shortest path algorithm to accomplish the link mapping procedure.