D & C
L A B
Distributed & Cloud Computing Lab
Distributed & Cloud Computing Lab
The Distributed & Cloud Computing LabD&C Lab, currently directed by professor Heonchang Yu, was established in 1998 as a one of the most pioneer laboratories in distributed computing areas located at Korea University. Over the past decades, D&C lab researchers have made valuable contribution in a wide range of distributed computing research such as mobile computing, fault tolerant systems, peer to peer computing, grid computing and cloud computing.
Currently, our lab serves as the focal point for research on Cloud Computing including data management, mobility management, fault tolerant and dependable services, overlay network construction, checkpoint, spot instance management of virtual machines, cost-efficient scheduling algorithms, replication of resources etc.
Hyungjun Kim (Ph.D student) received the Excellent Paper Award in Oral Session at the 11th International Conference on Next Generation Computing (ICNGC 2025) for his paper “Straggler-Aware Weighted Synchronization for Distributed Deep Learning” .
Hyungjun Kim (Ph.D student) presented his paper “Straggler-Aware Weighted Synchronization for Distributed Deep Learning” at the 11th International Conference on Next Generation Computing (ICNGC 2025).
Chunggeon Song (Ph.D student) presented his paper “EdgeNet: Simulator for Modeling of Network Overhead and Server Clustering Algorithm on Edge Computing” at the 11th International Conference on Next Generation Computing (ICNGC 2025).
Yeonju Kim (Undergraduate student) won the Excellent Paper Award (우수논문상) at the Annual Fall Comprehensive Academic Conference and Undergraduate Paper Competition (KIIT 2025) “Communication-Aware Rescheduling for QoS Enhancement and Load Balancing in Kubernetes Enviroment”.
Yeonju Kim (Undergraduate student) presented her paper “Communication-Aware Rescheduling for QoS Enhancement and Load Balancing in Kubernetes Enviroment” at the Annual Fall Comprehensive Academic Conference and Undergraduate Paper Competition (KIIT 2025).
Yonggeun Kim (Undergraduate student) won the Encouragement Award (장려상) at the Annual Domestic Korea Computer Congress Conference (KCC 2025) for his paper “Empirical Validation of the Linear-Scaling Assumption in Distributed Deep Learning: An Analysis of Batch Size and Iteration Time”.
Minjae Kang (M.S. student) presented his paper “MOBOS: Co-optimizing Cost and Execution Time in Serverless Workflow with Multi-Objective Bayesian Optimization” at the IEEE International Conference on Cloud Computing 2025 (CLOUD 2025).