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Nguyen Van Tu

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2020 – today

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2024
[c16]
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Kyungchan Ko, Sangwoo Ryu, Nguyen Van Tu, James Won-Ki Hong:
Optimizing Video Conferencing QoS: A DRL-based Bitrate Allocation Framework. NOMS 2024: 1-10
[c15]
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Sangwoo Ryu, Kyungchan Ko, Nguyen Van Tu, James Won-Ki Hong:
Towards Effective Reinforcement Learning in Video Conferencing using Network Status Data and Model Analysis. NOMS 2024: 1-9
[c14]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Towards Intent-based Configuration for Network Function Virtualization using In-context Learning in Large Language Models. NOMS 2024: 1-8
2023
[c13]
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Nguyen Van Tu, Kyungchan Ko, Sangwoo Ryu, Sangtae Ha, James Won-Ki Hong:
Improve Video Conferencing Quality with Deep Reinforcement Learning. NOMS 2023: 1-5
2022
[j5]
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Khizar Abbas, Jibum Hong, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Autonomous DRL-based energy efficient VM consolidation for cloud data centers. Phys. Commun. 55: 101925 (2022)
[c12]
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Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D'Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro:
Supervised Anomaly Detection in Crude Oil Stabilization. PAIS@ECAI 2022: 114-127
2021
[j4]
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Stanislav Lange, Nguyen Van Tu, Seyeon Jeong, Doyoung Lee, Heegon Kim, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong:
A Network Intelligence Architecture for Efficient VNF Lifecycle Management. IEEE Trans. Netw. Serv. Manag. 18(2): 1476-1490 (2021)
[j3]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
PPTMon: Real-Time and Fine-Grained Packet Processing Time Monitoring in Virtual Network Functions. IEEE Trans. Netw. Serv. Manag. 18(4): 4324-4336 (2021)
[c11]
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  - conf/cnsm/PandeyTYH21
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Suman Pandey, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
EdgeDQN: Multiple SFC Placement in Edge Computing Environment. CNSM 2021: 301-309
[c10]
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Seyeon Jeong, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Proactive Live Migration for Virtual Network Functions using Machine Learning. CNSM 2021: 335-339
[c9]
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  - conf/netsoft/GabrielaLTH21
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Petra Gabriela, Doyoung Lee, Nguyen Van Tu, James Won-Ki Hong:
Machine Learning-Based Auto-Scaler for Video Conferencing Systems. NetSoft 2021: 142-150
2020
[j2]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Accelerating Virtual Network Functions With Fast-Slow Path Architecture Using eXpress Data Path. IEEE Trans. Netw. Serv. Manag. 17(3): 1474-1486 (2020)
[c8]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Real-time Monitoring of Packet Processing Time for Virtual Network Functions. APNOMS 2020: 138-143
[c7]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Measuring End-to-end Packet Processing Time in Service Function Chaining. CNSM 2020: 1-9

2010 – 2019

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2019
[j1]
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Jonghwan Hyun, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Real-time and fine-grained network monitoring using in-band network telemetry. Int. J. Netw. Manag. 29(6) (2019)
[c6]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
eVNF - Hybrid Virtual Network Functions with Linux eXpress Data Path. APNOMS 2019: 1-6
[c5]
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Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong:
Building Hybrid Virtual Network Functions with eXpress Data Path. CNSM 2019: 1-9
2018
[c4]
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Nguyen Van Tu, Jonghwan Hyun, Ga Yeon Kim, Jae-Hyoung Yoo, James Won-Ki Hong:
INTCollector: A High-performance Collector for In-band Network Telemetry. CNSM 2018: 10-18
[c3]
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Jonghwan Hyun, Nguyen Van Tu, James Won-Ki Hong:
Towards knowledge-defined networking using in-band network telemetry. NOMS 2018: 1-7
2017
[c2]
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Nguyen Van Tu, Jonghwan Hyun, James Won-Ki Hong:
Towards ONOS-based SDN monitoring using in-band network telemetry. APNOMS 2017: 76-81
[c1]
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Nguyen Van Tu, Kyungchan Ko, James Won-Ki Hong:
Architecture for building hybrid kernel-user space virtual network functions. CNSM 2017: 1-6

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