Prediction of the resource consumption of distributed deep learning systems G Yang, C Shin, J Lee, Y Yoo, C Yoo Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (2 …, 2022 | 17 | 2022 |
A case for SDN-based network virtualization G Yang, C Shin, Y Yoo, C Yoo 2021 29th International Symposium on Modeling, Analysis, and Simulation of …, 2021 | 13 | 2021 |
TeaVisor: network hypervisor for bandwidth isolation in SDN-NV Y Yoo, G Yang, J Lee, C Shin, H Kim, C Yoo IEEE Transactions on Cloud Computing, 2022 | 5 | 2022 |
Xonar: Profiling-based job orderer for distributed deep learning C Shin, G Yang, Y Yoo, J Lee, C Yoo 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 112-114, 2022 | 5 | 2022 |
Control Channel Isolation in SDN Virtualization: A Machine Learning Approach Y Yoo, G Yang, C Shin, J Lee, C Yoo 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 4 | 2023 |
Selective Preemption of Distributed Deep Learning Training Y Go, C Shin, J Lee, Y Yoo, G Yang, C Yoo 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 175-177, 2023 | 1 | 2023 |
Machine Learning-Based Prediction Models for Control Traffic in SDN Systems Y Yoo, G Yang, C Shin, J Lee, C Yoo IEEE Transactions on Services Computing, 2023 | | 2023 |