| Machine learning-based method for prediction of virtual network function resource demands HG Kim, DY Lee, SY Jeong, H Choi, JH Yoo, JWK Hong 2019 IEEE conference on network softwarization (NetSoft), 405-413, 2019 | 50 | 2019 |
| Predicting vnf deployment decisions under dynamically changing network conditions S Lange, HG Kim, SY Jeong, H Choi, JH Yoo, JWK Hong 2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019 | 33 | 2019 |
| Application-aware traffic engineering in software-defined network S Jeong, D Lee, J Hyun, J Li, JWK Hong 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017 | 29 | 2017 |
| Machine learning-based prediction of VNF deployment decisions in dynamic networks S Lange, HG Kim, SY Jeong, H Choi, JH Yoo, JWK Hong 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6, 2019 | 27 | 2019 |
| A network intelligence architecture for efficient vnf lifecycle management S Lange, N Van Tu, SY Jeong, DY Lee, HG Kim, J Hong, JH Yoo, ... IEEE Transactions on Network and Service Management 18 (2), 1476-1490, 2020 | 26 | 2020 |
| Design and implementation of eBPF-based virtual TAP for inter-VM traffic monitoring J Hong, S Jeong, JH Yoo, JWK Hong 2018 14th international conference on network and service management (CNSM …, 2018 | 21 | 2018 |
| Machine learning based link state aware service function chaining S Jeong, H Kim, JH Yoo, JWK Hong 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-4, 2019 | 19 | 2019 |
| Application-aware traffic management for openflow networks S Jeong, D Lee, J Choi, J Li, JWK Hong 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-5, 2016 | 18 | 2016 |
| A deep learning approach to vnf resource prediction using correlation between vnfs HG Kim, SY Jeong, DY Lee, H Choi, JH Yoo, JWK Hong 2019 IEEE Conference on Network Softwarization (NetSoft), 444-449, 2019 | 17 | 2019 |
| Design and Implementation of virtual TAP for SDN-based OpenStack Networking S Jeong, JH You, JWK Hong 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | 16 | 2019 |
| Deep Q‐network‐based auto scaling for service in a multi‐access edge computing environment DY Lee, SY Jeong, KC Ko, JH Yoo, JWK Hong International Journal of Network Management 31 (6), e2176, 2021 | 14 | 2021 |
| OpenFlow-based virtual TAP using open vSwitch and DPDK S Jeong, D Lee, J Li, JWK Hong NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018 | 6 | 2018 |
| Proactive live migration for virtual network functions using machine learning S Jeong, N Van Tu, JH Yoo, JWK Hong 2021 17th International Conference on Network and Service Management (CNSM …, 2021 | 5 | 2021 |
| Icbms sm: A smart mediator for mashup service development D Lee, S Jeong, T Jeong, JH Yoo, JWK Hong 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6, 2016 | 3 | 2016 |
| Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks L Stanislav, HG Kim, SY Jeong, C Heeyoul, JH Yoo, JWK Hong IEICE Proceeding Series, TS6-1, 2019 | | 2019 |
| OpenAPI-based message router for mashup service development D Lee, S Jeong, JWK Hong 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017 | | 2017 |
| 1st International Workshop on High-Precision Networks Operations and Control (HiPNet 2018) MT Vega, T Mehmli, T Eckert, U Chunduri, Y Qu, R Meng, B Da, Z Chen, ... | | |
