| QaMeC: A QoS-driven IoVs application optimizing deployment scheme in multimedia edge clouds Z Wu, Z Lu, PCK Hung, SC Huang, Y Tong, Z Wang Future Generation Computer Systems 92, 17-28, 2019 | 47 | 2019 |
| Toy-IoT-Oriented data-driven CDN performance evaluation model with deep learning W Zhang, Z Lu, Z Wu, J Wu, H Zou, S Huang Journal of Systems Architecture 88, 13-22, 2018 | 18 | 2018 |
| Optimizing multi-cloud CDN deployment and scheduling strategies using big data analysis C Wang, Z Lu, Z Wu, J Wu, S Huang 2017 IEEE International Conference on Services Computing (SCC), 273-280, 2017 | 15 | 2017 |
| Accelerating distributed deep learning using multi-path RDMA in data center networks F Tian, Y Zhang, W Ye, C Jin, Z Wu, ZL Zhang Proceedings of the ACM SIGCOMM Symposium on SDN Research (SOSR), 88-100, 2021 | 8 | 2021 |
| A data-driven approach of performance evaluation for cache server groups in content delivery network Z Wu, Z Lu, W Zhang, J Wu, S Huang, PCK Hung Journal of Parallel and Distributed Computing 119, 162-171, 2018 | 5 | 2018 |
| NFlow and MVT abstractions for NFV scaling Z Wu, Y Zhang, W Feng, ZL Zhang IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 180-189, 2022 | 4 | 2022 |
| GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond Z Wu, T Cui, A Narayanan, Y Zhang, K Lu, A Zhai, ZL Zhang | 3 | 2022 |
| PRAVEGA: Scaling Private 5G RAN via eBPF/XDP UK Dayalan, Z Wu, G Gautam, F Tian, ZL Zhang Proceedings of the 1st Workshop on eBPF and Kernel Extensions, 89-91, 2023 | 2 | 2023 |
