Young-Kyoon Suh

Orcid: 0000-0003-3124-2566

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


According to our database1, Young-Kyoon Suh authored at least 38 papers between 2006 and 2024.

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Bibliography

2024
Identifying the Root Causes of DBMS Suboptimality.
ACM Trans. Database Syst., March, 2024

Understanding File System Operations of a Secure Container Runtime Using System Call Tracing Technique.
IEICE Trans. Inf. Syst., 2024

IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

2023
A Deep Neural Network Based Wake-After-Sleep-Onset Time Aware Sleep Apnea Severity Estimation Scheme Using Single-Lead ECG Data.
IEEE Access, 2023

ECM: An Energy-efficient HVAC Control Framework for Stable Construction Environment.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

A Resource Provisioning Manager for Edge Devices.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022
Workload-Driven Analysis on the Performance Characteristics of GPU-Accelerated DBMSes.
IEICE Trans. Inf. Syst., November, 2022

Have query optimizers hit the wall?
VLDB J., 2022

A Comprehensive Empirical Study of Query Performance Across GPU DBMSes.
Proc. ACM Meas. Anal. Comput. Syst., 2022

2021
A Survey of Industrial Internet of Things Platforms for Establishing Centralized Data-Acquisition Middleware: Categorization, Experiment, and Challenges.
Sci. Program., 2021

An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing.
IEICE Trans. Inf. Syst., 2021

2020
CLUTCH: A Clustering-Driven Runtime Estimation Scheme for Scientific Simulations.
IEEE Access, 2020

Empirical evaluation across multiple GPU-accelerated DBMSes.
Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

2019
A pattern-based outlier region detection method for two-dimensional arrays.
J. Supercomput., 2019

A simulation provenance data management system for efficient job execution on an online computational science engineering platform.
Clust. Comput., 2019

EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning.
IEEE Access, 2019

2018
Improving I/O Efficiency in Hadoop-Based Massive Data Analysis Programs.
Sci. Program., 2018

MLPPI Wizard: An Automated Multi-level Partitioning Tool on Analytical Workloads.
KSII Trans. Internet Inf. Syst., 2018

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

A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization.
Hum. centric Comput. Inf. Sci., 2018

2017
DBMS Metrology: Measuring Query Time.
ACM Trans. Database Syst., 2017

EMP: execution time measurement protocol for compute-bound programs.
Softw. Pract. Exp., 2017

An empirical study of transaction throughput thrashing across multiple relational DBMSes.
Inf. Syst., 2017

Development of a simulation result management and prediction system using machine learning techniques.
Int. J. Data Min. Bioinform., 2017

SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

2016
Design and implementation of a data-driven simulation service system.
Proceedings of the Sixth International Conference on Emerging Databases: Technologies, 2016

EDISON: A Web-Based HPC Simulation Execution Framework for Large-Scale Scientific Computing Software.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Exploring Causal Factors of DBMS Thrashing.
PhD thesis, 2015

2014
AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies.
Proc. VLDB Endow., 2014

Memory efficient and scalable address mapping for flash storage devices.
J. Syst. Archit., 2014

2013
DBMS metrology: measuring query time.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
Extent Mapping Scheme for Flash Memory Devices.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

A new tool for multi-level partitioning in teradata.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2008
Research Process Support with Organizational Flow in e-Science.
Proceedings of the 7th IEEE/ACIS International Conference on Computer and Information Science, 2008

2007
Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment.
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007

2006
GAGPC: Optimization of Multiple Continuous Queries on Data Streams.
Proceedings of the IASTED International Conference on Databases and Applications, 2006


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