9 citations · 42 across the 19 of their papers we have counts for
4 papers · 1 filter
Towards Fair and Efficient Learning-based Congestion Control
Xudong Liao, Han Tian, Chaoliang Zeng +2
Recent years have witnessed a plethora of learning-based solutions for congestion control (CC) that demonstrate better performance over traditional TCP schemes. However, they fail…
Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework
Yingya Guo, Qi Tang, Yulong Ma +2
Traffic Engineering (TE) is an efficient technique to balance network flows and thus improves the performance of a hybrid Software Defined Network (SDN). Previous TE solutions main…
Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks
Wenxue Li, Junyi Zhang, Gaoxiong Zeng +6
RDMA has been widely adopted for high-speed datacenter networks. However, native RDMA merely supports one-to-one reliable connection, which mismatches various applications with gro…
Locality-Sensitive Sketching for Resilient Network Flow Monitoring
Yongquan Fu, Dongsheng Li, Siqi Shen +2
Network monitoring is vital in modern clouds and data center networks for traffic engineering, network diagnosis, network intrusion detection, which need diverse traffic statistics…