| Multi-controller based software-defined networking: A survey T Hu, Z Guo, P Yi, T Baker, J Lan IEEE access 6, 15980-15996, 2018 | 273 | 2018 |
| DROM: Optimizing the routing in software-defined networks with deep reinforcement learning C Yu, J Lan, Z Guo, Y Hu IEEE Access 6, 64533-64539, 2018 | 226 | 2018 |
| CFR-RL: Traffic engineering with reinforcement learning in SDN J Zhang, M Ye, Z Guo, CY Yen, HJ Chao IEEE Journal on Selected Areas in Communications 38 (10), 2249-2259, 2020 | 222 | 2020 |
| Improving the performance of load balancing in software-defined networks through load variance-based synchronization Z Guo, M Su, Y Xu, Z Duan, L Wang, S Hui, HJ Chao Computer Networks 68, 95-109, 2014 | 191 | 2014 |
| COMITMENT: A fog computing trust management approach M Al-Khafajiy, T Baker, M Asim, Z Guo, R Ranjan, A Longo, D Puthal, ... Journal of Parallel and Distributed Computing 137, 1-16, 2020 | 132 | 2020 |
| STAR: Preventing Flow-table Overflow in Software-Defined Networks Z Guo, R Liu, Y Xu, A Gushchin, A Walid, HJ Chao Computer Networks 125, 15-25, 2017 | 123 | 2017 |
| Combining deep reinforcement learning with graph neural networks for optimal VNF placement P Sun, J Lan, J Li, Z Guo, Y Hu IEEE Communications Letters 25 (1), 176-180, 2020 | 92 | 2020 |
| JumpFlow: Reducing flow table usage in software-defined networks Z Guo, Y Xu, M Cello, J Zhang, Z Wang, M Liu, HJ Chao Computer Networks 92, 300-315, 2015 | 77 | 2015 |
| MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning P Sun, Z Guo, G Wang, J Lan, Y Hu Computer Networks 177, 107230, 2020 | 75 | 2020 |
| Deepweave: Accelerating job completion time with deep reinforcement learning-based coflow scheduling P Sun, Z Guo, J Wang, J Li, J Lan, Y Hu Proceedings of the twenty-ninth international conference on international …, 2021 | 69 | 2021 |
| Enabling scalable routing in software-defined networks with deep reinforcement learning on critical nodes P Sun, Z Guo, J Li, Y Xu, J Lan, Y Hu IEEE/ACM Transactions on Networking 30 (2), 629-640, 2021 | 67 | 2021 |
| A brief survey on recent advances in cloud control systems Y Xia, Y Zhang, L Dai, Y Zhan, Z Guo IEEE Transactions on Circuits and Systems II: Express Briefs 69 (7), 3108-3114, 2022 | 60 | 2022 |
| Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks Z Guo, W Chen, YF Liu, Y Xu, ZL Zhang IEEE Journal on Selected Areas in Communications 37, 1012-1028, 2019 | 59 | 2019 |
| ScaleDRL: A scalable Deep Reinforcement Learning approach for Traffic Engineering in SDN with pinning control P Sun, Z Guo, J Lan, J Li, Y Hu, T Baker Computer Networks, 107891, 2021 | 57 | 2021 |
| SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning P Sun, Z Guo, S Liu, J Lan, J Wang, Y Hu Computer Networks 179, 107255, 2020 | 55 | 2020 |
| Dynamic flow scheduling for power-efficient data center networks Z Guo, S Hui, Y Xu, HJ Chao 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-10, 2016 | 54 | 2016 |
| Dynamic slave controller assignment for enhancing control plane robustness in software-defined networks T Hu, P Yi, Z Guo, J Lan, Y Hu Future Generation Computer Systems 95, 681-693, 2019 | 51 | 2019 |
| CLOSURE: A cloud scientific workflow scheduling algorithm based on attack–defense game model Y Wang, Y Guo, Z Guo, T Baker, W Liu Future Generation Computer Systems 111, 460-474, 2020 | 49 | 2020 |
| Balancing flow table occupancy and link utilization in software-defined networks Z Guo, Y Xu, R Liu, A Gushchin, K Chen, A Walid, HJ Chao Future Generation Computer Systems 89, 213-223, 2018 | 49 | 2018 |
| BWManager: Mitigating denial of service attacks in software-defined networks through bandwidth prediction T Wang, Z Guo, H Chen, W Liu IEEE Transactions on Network and Service Management 15 (4), 1235-1248, 2018 | 46 | 2018 |
Yang XuFudan University, School of Computer ScienceVerified email at fudan.edu.cn
