activity
20172024
most citedMachine Learning for Networking: Workflow, Advances and Opportunities

447 citations · 473 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024★ 25 cited

NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network

Cong Liang, Xiangli Song, Jing Cheng +5

Recent advances in fast optical switching technology show promise in meeting the high goodput and low latency requirements of datacenter networks (DCN). We present NegotiaToR, a si…

cs.NI2022

Digital Twin for Networking: A Data-driven Performance Modeling Perspective

Linbo Hui, Mowei Wang, Liang Zhang +2

Emerging technologies and applications make the network unprecedentedly complex and heterogeneous, leading physical network practices to be costly and risky. The digital twin netwo…

cs.NI2021★ 1 cited

Zeropod: Simplifying Datacenter Networking with Future-Proof Zero-Buffer Packet Switches

Cong Liang, Jing Cheng, Mowei Wang +3

With the rapid growth of traffic volume in datacenter networks (DCNs), packet switches suffer from insufficient switching chip capacity and difficulties in transmission control, ma…

cs.NI2021

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization

Lei Zhang, Yong Cui, Mowei Wang +3

The increasingly complicated and diverse applications have distinct network performance demands, e.g., some desire high throughput while others require low latency. Traditional con…

cs.NI2017★ 447 cited

Machine Learning for Networking: Workflow, Advances and Opportunities

Mowei Wang, Yong Cui, Xin Wang +2

Recently, machine learning has been used in every possible field to leverage its amazing power. For a long time, the net-working and distributed computing system is the key infrast…