Liang-Min Wang

Affiliations:
  • Intel Corporation, Hudson, MA, USA


According to our database1, Liang-Min Wang authored at least 12 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Design of a Live Networking Device Update Mechanism For Cloud Computing Systems.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

2021
Design of A Multi-Path Reconfigurable Traffic Monitoring System.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Implementation of a High-Throughput Virtual Switch Port Monitoring System.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Flow Scheduling in a Heterogeneous NFV Environment using Reinforcement Learning.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Heterogeneous Flow Scheduling using Deep Reinforcement Learning in Partially Observable NFV Environment.
Proceedings of the 2021 International Conference on Networking and Network Applications, 2021

Design of a Real-Time Traffic Mirroring System.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020
OVS-DPDK Port Mirroring via NIC Offloading.
Proceedings of the NOMS 2020, 2020

2019
Ares: A Scalable High-Performance Passive Measurement Tool Using a Multicore System.
Proceedings of the 2019 IEEE International Conference on Networking, 2019

Ripple: An Efficient Runtime Reconfigurable P4 Data Plane for Multicore Systems.
Proceedings of the 2019 International Conference on Networking and Network Applications, 2019

Edison: Event-driven Distributed System of Network Measurement.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Build an SR-IOV Hypervisor.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

2018
EQuery: Enable event-driven declarative queries in programmable network measurement.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018


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