GAGPC: Optimization of Multiple Continuous Queries on Data Streams. - Young-Kyoon Suh; Jin Hyun Son; Myoung-Ho Kim (Databases and Applications, 2006)

Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment. - Byungsang Kim; Dukyun Nam; Young-Kyoon Suh; June Hawk Lee; Kumwon Cho; Soonwook Hwang (eScience, 2007)

Research Process Support with Organizational Flow in e-Science. - Dukyun Nam; June Hawk Lee; Soonwook Hwang; Young-Kyoon Suh; Byungsang Kim (ACIS-ICIS, 2008)

A new tool for multi-level partitioning in teradata. - Young-Kyoon Suh; Ahmad Ghazal; Alain Crolotte; Pekka Kostamaa (CIKM, 2012)

Extent Mapping Scheme for Flash Memory Devices. - Young-Kyoon Suh; Bongki Moon; Alon Efrat; Jin-Soo Kim 001; Sang-Won Lee 001 (MASCOTS, 2012)

DBMS metrology: measuring query time. - Sabah Currim; Richard T. Snodgrass; Young-Kyoon Suh; Rui Zhang 035; Matthew Wong Johnson; Cheng Yi (SIGMOD Conference, 2013)

Memory efficient and scalable address mapping for flash storage devices. - Young-Kyoon Suh; Bongki Moon; Alon Efrat; Jin-Soo Kim 001; Sang-Won Lee 001 (J. Syst. Archit., 2014)

AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies. - Young-Kyoon Suh; Richard T. Snodgrass; Rui Zhang 035 (Proc. VLDB Endow., 2014)

Exploring Causal Factors of DBMS Thrashing. - Young-Kyoon Suh (2015)

EDISON: A Web-Based HPC Simulation Execution Framework for Large-Scale Scientific Computing Software. - Young-Kyoon Suh; Hoon Ryu; Hangi Kim; Kumwon Cho (CCGrid, 2016)

Design and implementation of a data-driven simulation service system. - Ki Yong Lee; YoonJae Shin; YeonJeong Choe; SeonJeong Kim; Young-Kyoon Suh; Jeong Hwan Sa; Kumwon Cho (EDB, 2016)

SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters. - Young-Kyoon Suh; Jin Ma (FAS*W@SASO/ICCAC, 2017)

Development of a simulation result management and prediction system using machine learning techniques. - Ki Yong Lee; Young-Kyoon Suh; Kumwon Cho (Int. J. Data Min. Bioinform., 2017)

An empirical study of transaction throughput thrashing across multiple relational DBMSes. - Young-Kyoon Suh; Richard T. Snodgrass; Sabah Currim (Inf. Syst., 2017)

EMP: execution time measurement protocol for compute-bound programs. - Young-Kyoon Suh; Richard T. Snodgrass; John D. Kececioglu; Peter J. Downey; Robert S. Maier 001; Cheng Yi (Softw. Pract. Exp., 2017)

DBMS Metrology: Measuring Query Time. - Sabah Currim; Richard T. Snodgrass; Young-Kyoon Suh; Rui Zhang 035 (ACM Trans. Database Syst., 2017)

A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization. - Young-Kyoon Suh; Ki Yong Lee (Hum. centric Comput. Inf. Sci., 2018)

SEDONA: A Novel Protocol for Identifying Infrequent, Long-Running Daemons on a Linux System. - Young-Kyoon Suh (IEICE Trans. Inf. Syst., 2018)

MLPPI Wizard: An Automated Multi-level Partitioning Tool on Analytical Workloads. - Young-Kyoon Suh; Alain Crolotte; Pekka Kostamaa (KSII Trans. Internet Inf. Syst., 2018)

Improving I/O Efficiency in Hadoop-Based Massive Data Analysis Programs. - Kyong-Ha Lee; Woo-Lam Kang; Young-Kyoon Suh (Sci. Program., 2018)

EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning. - Seounghyeon Kim; Young-Kyoon Suh; Jeeyoung Kim (IEEE Access, 2019)

A simulation provenance data management system for efficient job execution on an online computational science engineering platform. - Jin Ma; Sik Lee; Kumwon Cho; Young-Kyoon Suh (Clust. Comput., 2019)

A pattern-based outlier region detection method for two-dimensional arrays. - Ki Yong Lee; Young-Kyoon Suh (J. Supercomput., 2019)

Empirical evaluation across multiple GPU-accelerated DBMSes. - Hawon Chu; Seounghyun Kim; Joo-Young Lee; Young-Kyoon Suh (DaMoN, 2020)

CLUTCH: A Clustering-Driven Runtime Estimation Scheme for Scientific Simulations. - Young-Kyoon Suh; Seounghyeon Kim; Jeeyoung Kim (IEEE Access, 2020)

An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing. - Young-Kyoon Suh; Seounghyeon Kim; Joo-Young Lee; Hawon Chu; Jun Young An; Kyong-Ha Lee (IEICE Trans. Inf. Syst., 2021)

A Survey of Industrial Internet of Things Platforms for Establishing Centralized Data-Acquisition Middleware: Categorization, Experiment, and Challenges. - Jin-Sung Ok; Soon-Do Kwon; Cheol-Eun Heo; Young-Kyoon Suh (Sci. Program., 2021)

A Comprehensive Empirical Study of Query Performance Across GPU DBMSes. - Young-Kyoon Suh; Jun Young An; Byungchul Tak; Gap-Joo Na (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Have query optimizers hit the wall? - Richard T. Snodgrass; Sabah Currim; Young-Kyoon Suh (VLDB J., 2022)

Workload-Driven Analysis on the Performance Characteristics of GPU-Accelerated DBMSes. - Jun Young An; Young-Kyoon Suh; Byungchul Tak (IEICE Trans. Inf. Syst., 2022)

Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments. - Gap-Joo Na; Youngwoo Jang; Harin Seo; Byungchul Tak; Young-Kyoon Suh (Euro-Par Workshops, 2023)

A Resource Provisioning Manager for Edge Devices. - Youngwoo Jang; Gap-Joo Na; Illyoung Choi; In-Geol Chun; Dukyun Nam; Young-Kyoon Suh (SECON, 2023)

ECM: An Energy-efficient HVAC Control Framework for Stable Construction Environment. - Jin-Sung Ok; Youngeun Chae; Harin Seo; Soon-Do Kwon; Byungchul Tak; Young-Kyoon Suh (SECON, 2023)

A Deep Neural Network Based Wake-After-Sleep-Onset Time Aware Sleep Apnea Severity Estimation Scheme Using Single-Lead ECG Data. - Dae-Woong Seo; Jeeyoung Kim; Ho-Won Lee; Young-Kyoon Suh (IEEE Access, 2023)

K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices. - Youngwoo Jang; Jiseob Byun; Soonbeom Kwon; Illyoung Choi; Dukyun Nam; Byungchul Tak; Gap-Joo Na; Young-Kyoon Suh (HPDC, 2024)

IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog. - Fatima Abdullah; Mian Muaz Razaq; Youyang Kim; Limei Peng; Young-Kyoon Suh; Byungchul Tak (SAC, 2024)

Understanding File System Operations of a Secure Container Runtime Using System Call Tracing Technique. - Sunwoo Jang; Young-Kyoon Suh; Byungchul Tak (IEICE Trans. Inf. Syst., 2024)

Identifying the Root Causes of DBMS Suboptimality. - Sabah Currim; Richard T. Snodgrass; Young-Kyoon Suh (ACM Trans. Database Syst., 2024)

FineCite: A Novel Approach For Fine-Grained Citation Context Analysis. - Lasse M. Jantsch; Dong-Jae Koh; Seonghwan Yoon; Jisu Lee; Anne Lauscher; Young-Kyoon Suh (ACL (Findings), 2025)

A Resource Provisioning Framework with Adaptive Task Distribution for Edge Devices. - Youngwoo Jang; Soonbeom Kwon; Illyoung Choi; Dukyun Nam; Byungchul Tak; Young-Kyoon Suh (NOMS, 2025)

TSG: A New Approach to Preserving Same-Timestamp Data in Time-Series Databases. - Soonbeom Kwon; Cheongu Kim; Young-Kyoon Suh (NOMS, 2025)

HARIN: A Novel Metric for Hierarchical Topic Model Assessment. - Harin Seo; Hwanseong Joo; Byungchul Tak; Young-Kyoon Suh (SAC, 2025)

Identifying AC Control Patterns From a Massive Longitudinal Log Dataset Using Deep Clustering. - Seunghwan Bae; Donghee Kim; Seokhwan Seong; Jaeyeon Jang; Young-Kyoon Suh; Honghyun Kim; Dongwoo Han; Inuk Jung (IEEE Access, 2025)