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.
Hokun Park (M.S. student) presented his paper “Communication-Aware Optimiza tion of Microservice Scheduling on Edge Computing” at the at the International Conference on IC 2024.
Donggyun Kim (M.S. student) presented his paper “Proactive Auto Scaling Based on Marginal Request Change Analysis for Reducing Tail Latency in Kubernetes Cluster” at the at the International Conference on IC 2024.
Myeongjun Kim (M.S. student) won the Best Paper Award(최우수상) at the Domestic Conference on Annual Conference of KIPS (ACK 2023) for his paper “A Performance Analysis of HPC Task According to Cgroup Policies of Singularity Container in Heterogeneous Cores Environment”.
Myeongjun Kim (M.S. student) presented his paper “A Performance Analysis of HPC Task According to Cgroup Policies of Singularity Container in Heterogeneous Cores Environment” at the at the Domestic Conference on ACK 2023.
Yerang Kim (Undergraduate student) won the Special Paper Award(nipa원장상) at the Domestic Conference on Annual Conference of KIPS (ACK 2023) for his paper “A Performance Analysis of Model Training Due to Different Batch Sizes in Synchronous Distributed Deep Learning Environments”.
Yerang Kim (Undergraduate student) presented his paper “A Performance Analysis of Model Training Due to Different Batch Sizes in Synchronous Distributed Deep Learning Environments” at the at the Domestic Conference on ACK 2023.
Minjae Kang (Undergraduate student) won the Paper Award(학부생부문 장려상) at the Domestic Conference on Annual Conference of KIPS (ACK 2023) for his paper “A Performance Analysis of Web Applications on Kubernetes with Container Runtimes for Scalable System Design”.