10 citations · 13 across the 3 of their papers we have counts for
5 papers
State Action Separable Reinforcement Learning
Ziyao Zhang, Liang Ma, Kin K. Leung +2
Reinforcement Learning (RL) based methods have seen their paramount successes in solving serial decision-making and control problems in recent years. For conventional RL formulatio…
Neural Network Tomography
Liang Ma, Ziyao Zhang, Mudhakar Srivatsa
Network tomography, a classic research problem in the realm of network monitoring, refers to the methodology of inferring unmeasured network attributes using selected end-to-end pa…
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +3
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralised control, scalability, and…
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +2
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralized control, scalability and r…
How Better is Distributed SDN? An Analytical Approach
Ziyao Zhang, Liang Ma, Kin K. Leung +3
Distributed software-defined networks (SDN), consisting of multiple inter-connected network domains, each managed by one SDN controller, is an emerging networking architecture that…