DONGGUK UNIVERSITY
Publication
Browse iSN Lab publications by year, research topic, and lab author. The international conference and journal list is ordered by recent publication date.
연도, 연구 주제, 저자별로 iSN Lab의 논문을 탐색하세요. 국제 학술대회 및 저널 목록은 최근 게재순으로 정렬되어 있습니다.
Browse Publications
Year
Research Topic
Lab Author
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Prediction-based GPU Sharing for Distributed Training
Future Generation Computer Systems Journal, 2026.02
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Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)
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Revisiting Traffic Splitting for Software Switch in Datacenter
ACM SIGMETRICS 2025 / Proc. ACM Meas. Anal. Comput. Syst. 9, 2, Article 39
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Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations
ICT Express, 2024.12
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Intelligent Packet Processing for Performant Containers in IoT
IEEE Internet of Things Journal, 2024.12
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Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee
IEEE 17th International Conference on Cloud Computing (CLOUD 2024)
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Harmonia: Accurate Federated Learning with All-Inclusive Dataset
IEEE 17th International Conference on Cloud Computing (CLOUD 2024)
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Machine Learning-Based Prediction Models for Control Traffic in SDN Systems
IEEE Transactions on Service Computing (TSC 2023)
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SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery
7th Asia-Pacific Workshop on Networking (APNET 2023)
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Selective Preemption of Distributed Deep Learning Training
IEEE 16th International Conference on Cloud Computing (CLOUD 2023)
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Control Channel Isolation in SDN Virtualization: A Machine Learning Approach
IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
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TeaVisor: network hypervisor for bandwidth isolation in SDN-NV
IEEE Transactions on Cloud Computing (TCC 2023)
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Xonar: Profiling-based job orderer for distributed deep learning
IEEE 15th International Conference on Cloud Computing (CLOUD 2022)
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Prediction of the resource consumption of distributed deep learning systems
Proceedings of the ACM on Measurement and Analysis of Computing Systems (SIGMETRICS 2022)
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A case for SDN-based network virtualization
29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2021)
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Accurate and efficient monitoring for virtualized SDN in clouds
IEEE Transactions on Cloud Computing (TCC 2021)
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Bandwidth isolation guarantee for SDN virtual networks
IEEE Conference on Computer Communications (INFOCOM 2021)
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TensorExpress: In-network communication scheduling for distributed deep learning
IEEE 13th International Conference on Cloud Computing (CLOUD 2020)
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Adaptive control channel traffic shaping for virtualized SDN in clouds
IEEE 13th International Conference on Cloud Computing (CLOUD 2020)
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