Yeonho Yoo

Orcid: 0000-0002-2636-633X

According to our database1, Yeonho Yoo authored at least 14 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
Machine Learning-Based Prediction Models for Control Traffic in SDN Systems.
IEEE Trans. Serv. Comput., 2023

TeaVisor: Network Hypervisor for Bandwidth Isolation in SDN-NV.
IEEE Trans. Cloud Comput., 2023

Accurate and Efficient Monitoring for Virtualized SDN in Clouds.
IEEE Trans. Cloud Comput., 2023

Control Channel Isolation in SDN Virtualization: A Machine Learning Approach.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Selective Preemption of Distributed Deep Learning Training.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Prediction of the Resource Consumption of Distributed Deep Learning Systems.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric.
IEEE Access, 2022

Xonar: Profiling-based Job Orderer for Distributed Deep Learning.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
Proactive Congestion Avoidance for Distributed Deep Learning.
Sensors, 2021

A Case for SDN-based Network Virtualization.
Proceedings of the 29th International Symposium on Modeling, 2021

Bandwidth Isolation Guarantee for SDN Virtual Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Adaptive Control Channel Traffic Shaping for Virtualized SDN in Clouds.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

TensorExpress: In-Network Communication Scheduling for Distributed Deep Learning.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020


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