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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.

Recent News

Minjae Kang (M.S. student) is presenting his paper.
CLOUD 2025

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).

Hyunseung Jung (M.S. student) is presenting his paper.
CLOUD 2025

Hyunseung Jung (M.S. student) presented his paper “Korel: Dynamic AMP-based Straggler Mitigation in Multi-Tenant Distributed Deep Learning Environments” at the IEEE International Conference on Cloud Computing 2025 (CLOUD 2025).

Myeong Jun Kim (M.S. student) is presenting his paper.
CLOUD 2025

Myeong Jun Kim (M.S. student) presented his paper “ReSACO: A Meta Reinforcement Learning Method for Fast Offloading in Mobile Edge Computing” at the IEEE International Conference on Cloud Computing 2025 (CLOUD 2025).

Hokun Park (Ph.D student) is presenting his paper.
CLOUD 2025

Hokun Park (Ph.D student) presented his paper “HEART: Heterogeneous-Aware Traffic Allocation in Multi-Replica Deployments on Kubernetes” at the IEEE International Conference on Cloud Computing 2025 (CLOUD 2025).

Jeonghui Lee (Undergraduate student) is presenting his paper.
KCC 2025

Jeonghui Lee (Undergraduate student) presented his paper “A Performance Analysis by Straggler Processing Techniques for DL frameworks that support real-time optimization in heterogeneous GPUcloud environments” at the Domestic Conference KCC 2025.

Seoeun Kwon (M.S. student) is presenting his paper.
KCC 2025

Seoeun Kwon (Undergraduate student) presented her paper “Dynamic Replica Replacement Technique Based on Deep Reinforcement Learning for Cost-Effective Cluster Utilization in Heterogeneous Kubernetes Environment” at the Domestic Conference KCC 2025.

Minjae Jung (M.S. student) is presenting his paper.
KCC 2025

Minjae Jung (M.S. student) presented his paper “Performance Analysis of Inference Using Different Batch Policies in TensorRT-LLM Environment” at the Domestic Conference KCC 2025.

Minwoo Kang (M.S. student) is presenting his paper.
CCGrid 2025

Minwoo Kang (M.S. student) presented his paper “SUPLEC:Microservice Scheduling Under Unexpected Peak Load in the Edge-Cloud Continuum” at the IEEE International Symposium on Cluster, Cloud and Internet Computing 2025 (CCGrid 2025).

Taeshin Kang (Ph.D student) is presenting his paper.
ACM/SIGAPP SAC 2025

Taeshin Kang (Ph.D student) presented his paper “Elastic Vertical Memory Management for Container-based Stateful Applications in Kubernetes” at the ACM/SIGAPP Symposium On Applied Computing 2025 (SAC 2025).