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Young-Kyoon Suh

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affiliation: Korea Institute of Science and Technology Information, Daejeon, Korea
affiliation: University of Arizona, Tucson, AZ, USA

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2020 – today

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2024
[j22]
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Sunwoo Jang, Young-Kyoon Suh, Byungchul Tak:
Understanding File System Operations of a Secure Container Runtime Using System Call Tracing Technique. IEICE Trans. Inf. Syst. 107(2): 229-233 (2024)
[j21]
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Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh:
Identifying the Root Causes of DBMS Suboptimality. ACM Trans. Database Syst. 49(1): 4:1-4:40 (2024)
[c16]
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Youngwoo Jang, Jiseob Byun, Soonbeom Kwon, Illyoung Choi, Dukyun Nam, Byungchul Tak, Gap-Joo Na, Young-Kyoon Suh:
K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices. HPDC 2024: 364-366
[c15]
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Fatima Abdullah, Mian Muaz Razaq, Youyang Kim, Limei Peng, Young-Kyoon Suh, Byungchul Tak:
IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog. SAC 2024: 536-544
[e1]
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Herwig Unger, Jinseok Chae, Young-Koo Lee, Christian Wagner, Chaokun Wang, Mehdi Bennis, Mahasak Ketcham, Young-Kyoon Suh, Hyuk-Yoon Kwon:
IEEE International Conference on Big Data and Smart Computing, BigComp 2024, Bangkok, Thailand, February 18-21, 2024. IEEE 2024, ISBN 979-8-3503-7002-7 [contents]
2023
[j20]
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Dae-Woong Seo, Jeeyoung Kim, Ho-Won Lee, Young-Kyoon Suh:
A Deep Neural Network Based Wake-After-Sleep-Onset Time Aware Sleep Apnea Severity Estimation Scheme Using Single-Lead ECG Data. IEEE Access 11: 43720-43732 (2023)
[c14]
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Gap-Joo Na, Youngwoo Jang, Harin Seo, Byungchul Tak, Young-Kyoon Suh:
Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments. Euro-Par Workshops 2023: 247-251
[c13]
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Jin-Sung Ok, Youngeun Chae, Harin Seo, Soon-Do Kwon, Byungchul Tak, Young-Kyoon Suh:
ECM: An Energy-efficient HVAC Control Framework for Stable Construction Environment. SECON 2023: 249-257
[c12]
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Youngwoo Jang, Gap-Joo Na, Illyoung Choi, In-Geol Chun, Dukyun Nam, Young-Kyoon Suh:
A Resource Provisioning Manager for Edge Devices. SECON 2023: 392-393
2022
[j19]
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Jun Young An, Young-Kyoon Suh, Byungchul Tak:
Workload-Driven Analysis on the Performance Characteristics of GPU-Accelerated DBMSes. IEICE Trans. Inf. Syst. 105-D(11): 1984-1989 (2022)
[j18]
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Young-Kyoon Suh, Jun Young An, Byungchul Tak, Gap-Joo Na:
A Comprehensive Empirical Study of Query Performance Across GPU DBMSes. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 4:1-4:29 (2022)
[j17]
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Richard T. Snodgrass, Sabah Currim, Young-Kyoon Suh:
Have query optimizers hit the wall? VLDB J. 31(1): 181-200 (2022)
[c11]
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Young-Kyoon Suh, Jun Young An, Byungchul Tak, Gap-Joo Na:
A Comprehensive Empirical Study of Query Performance Across GPU DBMSes. SIGMETRICS (Abstracts) 2022: 51-52
2021
[j16]
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Young-Kyoon Suh, Seounghyeon Kim, Joo-Young Lee, Hawon Chu, Jun Young An, Kyong-Ha Lee:
An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing. IEICE Trans. Inf. Syst. 104-D(5): 551-555 (2021)
[j15]
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Jin-Sung Ok, Soon-Do Kwon, Cheol-Eun Heo, Young-Kyoon Suh:
A Survey of Industrial Internet of Things Platforms for Establishing Centralized Data-Acquisition Middleware: Categorization, Experiment, and Challenges. Sci. Program. 2021: 6641562:1-6641562:11 (2021)
2020
[j14]
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Young-Kyoon Suh, Seounghyeon Kim, Jeeyoung Kim:
CLUTCH: A Clustering-Driven Runtime Estimation Scheme for Scientific Simulations. IEEE Access 8: 220710-220722 (2020)
[c10]
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Hawon Chu, Seounghyun Kim, Joo-Young Lee, Young-Kyoon Suh:
Empirical evaluation across multiple GPU-accelerated DBMSes. DaMoN 2020: 16:1-16:3

2010 – 2019

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2019
[j13]
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Seounghyeon Kim, Young-Kyoon Suh, Jeeyoung Kim:
EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning. IEEE Access 7: 98993-99002 (2019)
[j12]
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Jin Ma, Sik Lee, Kumwon Cho, Young-Kyoon Suh:
A simulation provenance data management system for efficient job execution on an online computational science engineering platform. Clust. Comput. 22(1): 147-159 (2019)
[j11]
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Ki Yong Lee, Young-Kyoon Suh:
A pattern-based outlier region detection method for two-dimensional arrays. J. Supercomput. 75(1): 170-188 (2019)
2018
[j10]
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Young-Kyoon Suh, Ki Yong Lee:
A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization. Hum. centric Comput. Inf. Sci. 8: 27 (2018)
[j9]
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Young-Kyoon Suh:
SEDONA: A Novel Protocol for Identifying Infrequent, Long-Running Daemons on a Linux System. IEICE Trans. Inf. Syst. 101-D(1): 239-243 (2018)
[j8]
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Young-Kyoon Suh, Alain Crolotte, Pekka Kostamaa:
MLPPI Wizard: An Automated Multi-level Partitioning Tool on Analytical Workloads. KSII Trans. Internet Inf. Syst. 12(4): 1693-1713 (2018)
[j7]
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Kyong-Ha Lee, Woo-Lam Kang, Young-Kyoon Suh:
Improving I/O Efficiency in Hadoop-Based Massive Data Analysis Programs. Sci. Program. 2018: 2682085:1-2682085:9 (2018)
2017
[j6]
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Ki Yong Lee, Young-Kyoon Suh, Kumwon Cho:
Development of a simulation result management and prediction system using machine learning techniques. Int. J. Data Min. Bioinform. 19(1): 75-96 (2017)
[j5]
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Young-Kyoon Suh, Richard T. Snodgrass, Sabah Currim:
An empirical study of transaction throughput thrashing across multiple relational DBMSes. Inf. Syst. 66: 119-136 (2017)
[j4]
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Young-Kyoon Suh, Richard T. Snodgrass, John D. Kececioglu, Peter J. Downey, Robert S. Maier, Cheng Yi:
EMP: execution time measurement protocol for compute-bound programs. Softw. Pract. Exp. 47(4): 559-597 (2017)
[j3]
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Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh, Rui Zhang:
DBMS Metrology: Measuring Query Time. ACM Trans. Database Syst. 42(1): 3:1-3:42 (2017)
[c9]
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Young-Kyoon Suh, Jin Ma:
SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters. FAS*W@SASO/ICCAC 2017: 283-288
2016
[c8]
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Young-Kyoon Suh, Hoon Ryu, Hangi Kim, Kumwon Cho:
EDISON: A Web-Based HPC Simulation Execution Framework for Large-Scale Scientific Computing Software. CCGrid 2016: 608-612
[c7]
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Ki Yong Lee, YoonJae Shin, YeonJeong Choe, SeonJeong Kim, Young-Kyoon Suh, Jeong Hwan Sa, Kumwon Cho:
Design and implementation of a data-driven simulation service system. EDB 2016: 77-80
2015
[b1]
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  - phd/basesearch/Suh15
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Young-Kyoon Suh:
Exploring Causal Factors of DBMS Thrashing. University of Arizona, USA, 2015
2014
[j2]
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Young-Kyoon Suh, Bongki Moon, Alon Efrat, Jin-Soo Kim, Sang-Won Lee:
Memory efficient and scalable address mapping for flash storage devices. J. Syst. Archit. 60(4): 357-371 (2014)
[j1]
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Young-Kyoon Suh, Richard T. Snodgrass, Rui Zhang:
AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies. Proc. VLDB Endow. 7(13): 1641-1644 (2014)
2013
[c6]
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Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh, Rui Zhang, Matthew Wong Johnson, Cheng Yi:
DBMS metrology: measuring query time. SIGMOD Conference 2013: 421-432
2012
[c5]
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Young-Kyoon Suh, Ahmad Ghazal, Alain Crolotte, Pekka Kostamaa:
A new tool for multi-level partitioning in teradata. CIKM 2012: 2214-2218
[c4]
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  - conf/mascots/SuhMEKL12
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Young-Kyoon Suh, Bongki Moon, Alon Efrat, Jin-Soo Kim, Sang-Won Lee:
Extent Mapping Scheme for Flash Memory Devices. MASCOTS 2012: 331-338

2000 – 2009

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2008
[c3]
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Dukyun Nam, June Hawk Lee, Soonwook Hwang, Young-Kyoon Suh, Byungsang Kim:
Research Process Support with Organizational Flow in e-Science. ACIS-ICIS 2008: 655-660
2007
[c2]
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  - conf/eScience/KimNSLCH07
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Byungsang Kim, Dukyun Nam, Young-Kyoon Suh, June Hawk Lee, Kumwon Cho, Soonwook Hwang:
Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment. eScience 2007: 509-515
2006
[c1]
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Young-Kyoon Suh, Jin Hyun Son, Myoung-Ho Kim:
GAGPC: Optimization of Multiple Continuous Queries on Data Streams. Databases and Applications 2006: 215-220

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