publications

Refereed Journal Articles

• Kyong-Ha Lee, Wooram Kang, and Young-Kyoon Suh^*, "Improving the I/O efficiency in Hadoop-based Massive Data Analysis," under view at Scientific Computing, 2018.
• Young-Kyoon Suh and Ki Yong Lee^* ",A Survey of Simulation Provenance Systems: Modeling, Capturing, Querying, Visualization, and Advanced Utilization" under review at Human-centric Computing and Information Sciences (HCIS), 2018.
• Jin Ma, Sik Lee, Kum Won Cho, and Young-Kyoon Suh^* , "Simulation-Provenance Data Management System for Efficient Job Execution on an Online Computational Science Engineering Platform," to appear at Cluster Computing, 2018.
• Ki Yong Lee and Young-Kyoon Suh^*, "A Pattern-Based Outlier Region Detection Method for 2-Dimensional Arrays," to appear at The Journal of Supercomputing (SUPE), 2018.
• Richard T. Snodgrass, Sabah Currim, and Young-Kyoon Suh^*, "A Causal Model of Query Suboptimality," under view at ACM Transactions on Database Systems (TODS), 2017.
• Young-Kyoon Suh^*, Alain Crolotte, and Pekka Kostamaa, "MLPPI Wizard: An Automated Multi-Level Partitioning Tool on Analytical Workloads," KSII Transactions on Information Systems, Vol. 12, No. 4, pp. 1693–1713, 2018 (extended version).
• Young-Kyoon Suh^*, "SEDONA: A Novel Protocol for Identifying Infrequent, Long-running Daemons on a Linux System," IEICE Transactions on Information Systems, Vol.E101-D No.1, pp. 239–243, 2018.
• Ki Yong Lee, Young-Kyoon Suh^*, and Kum Won Cho, "Development of a Simulation Result Management and Prediction System Using Machine Learning Techniques," International Journal of Data Mining and Informatics (IJDMB), Vol. 19, No. 1, pp. 75–96, 2017.
• Young-Kyoon Suh^*, Richard T. Snodgrass, and Sabah Currim, "An Empirical Study of Transaction Throughput Thrashing Across Multiple Relational DBMSes," Information Systems (Info. Syst.) 66:119–136, 2017.
• Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh^*, and Rui Zhang, "DBMS Metrology: Measuring Query Time," ACM Transactions on Database Systems (TODS) 42(1):3:1–42(+8), 2017 (extended version).
• Young-Kyoon Suh^*, Richard T. Snodgrass, John Kececioglu, Peter J. Downey, Robert S. Maier, and Cheng Yi, "EMP: Execution Time Measurement Protocol for Compute-Bound Programs," Software: Practice and Experience(SPE) 47(4): 559-597, 2017.
• Young-Kyoon Suh^*, Bongki Moon, Alon Efrat, Jin-Soo Kim, and Sang-Won Lee, "Memory Efficient and Scalable Address Mapping for Flash Storage Devices," Journal of Systems and Architecture (JSA) 60(4):357–371, 2014 (extended version).

Refereed Conference Articles

• Ki Yong Lee and Young-Kyoon Suh^*, "An Effective Method for Detecting Outlying Regions in a 2-Dimensional Array," in Proc. of the 5th International Conference on Big Data Applications and Services (BigDas'17), Jeju Island, Korea, November 2017 (Best Paper Award).
• Ki Yong Lee and Young-Kyoon Suh^*, "Efficient Mining of Time Interval-based Association Rules," in Proc. of The 5th International Conference on Big Data Applications and Services (BigDas'17), Jeju Island, Korea, November 2017 (Best Paper Award).
• Ki Yong Lee, YoonJae Shin, YeonJeong Choe, SeonJeong Kim, Young-Kyoon Suh^*, Jeong Hwan Sa, and Kum Won Cho, "Design and Implementation of a Data-Driven Simulation Service System," in Proc. of Emerging Databases - Technologies, Applications, and Theory (EDB'16), Jeju Island, Korea, October 2016 (Best Paper Award).
• Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh, Rui Zhang, Matthew Wong Johnson, and Cheng Yi, "DBMS Metrology: Measuring Query Time," in Proceedings of the 39th ACM SIGMOD Conference (SIGMOD'13), New York City, NY, USA, pp. 421–432, June 2013 (a/r: 20.4% = 76/372) [poster].
• Young-Kyoon Suh, Ahmad Ghazal, Alain Crolotte, and Pekka Kostamaa, "A New Tool for Multilevel Partitioning in Teradata," in Proceedings of the 21st ACM International Conference on Information and Knowledge Management(CIKM'12), Maui, HI, USA, pp. 2214–2218, October 2012 (a/r: 27.8% = 303/1088).
• Young-Kyoon Suh, Bongki Moon, Alon Efrat, Jin-Soo Kim, and Sang-Won Lee, "Extent Mapping Scheme for Flash Memory Devices," in Proceedings of the 20th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'12), Arlington, VA, USA, pp. 331–338, August 2012 (a/r: 49/156 = 31.4%).
• Byungsang Kim, Dukyun Nam, Young-Kyoon Suh, June Hawk Lee, Kumwon Cho, and Soonwook Hwang, "Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment," in Proceedings of the 4th IEEE International Conference on e-Science and Grid Computing (eScience'07), Bangalore, India, pp. 509–515, December 2007.
• Young-Kyoon Suh, Jin-Hyun Son, and Myoung Ho Kim, "GAGPC: Optimization of Multiple Continuous Queries on Data Streams," in Proceedings of the IASTED International Conference on Database and Applications (DBA'06), Bangalore, India, Innsbruck, Austria, pp. 215–220, February 2006.

Other Publications

• Young-Kyoon Suh^*, Ki Yong Lee, and Nakhoon Baek, "Design of a Provenance-Driven Big Data Service Framework," in Proc. of The 5th International Conference on Big Data Applications and Services (BigDas'17), Jeju Island, Korea, November 2017.
• Young-Kyoon Suh and Jin Ma, "SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters," in Proceedings of the 5th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'17), Tucson, AZ, USA, pp. 283–288, September 2017 (invited to an SCI journal).
• Young-Kyoon Suh, Hoon Ryu, Hangi Kim, and Kum Won Cho, "EDISON: A Web-Based HPC Simulation Execution Framework for Large-Scale Scientific Computing Software," demonstration [poster] in Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid'16), Cartagena, Colombia, May 2016 (Best Poster Award).
• Young-Kyoon Suh, Richard T. Snodgrass, and Rui Zhang, "AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies," demonstration [poster] in Proceedings of the VLDB Endowment, 7(13):1641–1644 (VLDB'14), Hangzhou, China, September 2014.
• WooLam Kang, Dong-Hoon, Choi, Young-Kyoon Suh, and Yoon-Joon Lee, "Integration of Avian Influenza Virus Information Sources for Korea e-Science," demonstration, in Proceedings of the 4th IEEE International Conference on e-Science and Grid Computing (eScience'08), Indianapolis, IN, USA, pp. 372–373, December 2008.

Works-in-Progress

• Young-Kyoon Suh, Richard T. Snodgrass, and Rui Zhang, "AZDBLab: A Laboratory Information System for a Large-Scale Empirical DBMS Study" (extended version).
• Robert Maier, Young-Kyoon Suh, Richard T. Snodgrass, and John Kececioglu, "Characterizing Execution Times of a Computer-bound Program"