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2020 – today
- 2022
[i1]Pratik Mishra, Rekha Pitchumani, Yang-Suk Kee:
Learnings from an Under the Hood Analysis of an Object Storage Node IO Stack. CoRR abs/2207.01849 (2022)- 2020
- [c28]Rekha Pitchumani, Yang-Suk Kee:
Hybrid Data Reliability for Emerging Key-Value Storage Devices. FAST 2020: 309-322
2010 – 2019
- 2019
- [c27]Yangwook Kang, Rekha Pitchumani, Pratik Mishra, Yang-Suk Kee, Francisco Londono, Sangyoon Oh, Jongyeol Lee, Daniel D. G. Lee:
Towards building a high-performance, scale-in key-value storage system. SYSTOR 2019: 144-154 - 2018
- [c26]Tim Bisson, Ke Chen, Changho Choi, Vijay Balakrishnan, Yang-Suk Kee:
Crail-KV: A High-Performance Distributed Key-Value Store Leveraging Native KV-SSDs over NVMe-oF. IPCCC 2018: 1-8 - 2016
- [c25]Jianguo Wang, Dongchul Park, Yang-Suk Kee, Yannis Papakonstantinou, Steven Swanson
:
SSD in-storage computing for list intersection. DaMoN 2016: 4:1-4:7 - [c24]I. Stephen Choi, Byoung Young Ahn, Yang-Suk Kee:
Mlcached: Multi-level DRAM-NAND Key-value Cache. HotCloud 2016 - [c23]Rahman Lavaee, I. Stephen Choi, Yang-Suk Kee, Chen Ding:
ElCached: Elastic Multi-Level Key-Value Cache. INFLOW@OSDI 2016 - [c22]Gihwan Oh, Chiyoung Seo, Ravi Mayuram, Yang-Suk Kee, Sang-Won Lee:
SHARE Interface in Flash Storage for Relational and NoSQL Databases. SIGMOD Conference 2016: 343-354 - 2015
- [j7]Sangwhan Moon, Jaehwan Lee, Xiling Sun, Yang-Suk Kee:
Optimizing the Hadoop MapReduce Framework with high-performance storage devices. J. Supercomput. 71(9): 3525-3548 (2015) - [c21]I. Stephen Choi, Weiqing Yang, Yang-Suk Kee:
Early experience with optimizing I/O performance using high-performance SSDs for in-memory cluster computing. IEEE BigData 2015: 1073-1083 - [c20]I. Stephen Choi, Yang-Suk Kee:
Energy Efficient Scale-In Clusters with In-Storage Processing for Big-Data Analytics. MEMSYS 2015: 265-273 - 2014
- [j6]Kwanghyun Park, Yang-Suk Kee, Jignesh M. Patel, Jaeyoung Do, Chanik Park, David J. DeWitt:
Query Processing on Smart SSDs. IEEE Data Eng. Bull. 37(2): 19-26 (2014) - [c19]Sangwhan Moon, Jaehwan Lee, Yang-Suk Kee:
Introducing SSDs to the Hadoop MapReduce Framework. IEEE CLOUD 2014: 272-279 - [c18]Woon-Hak Kang, Sang-Won Lee, Bongki Moon, Yang-Suk Kee, Moonwook Oh:
Durable write cache in flash memory SSD for relational and NoSQL databases. SIGMOD Conference 2014: 529-540 - 2013
- [c17]Yangwook Kang, Yang-Suk Kee, Ethan L. Miller, Chanik Park:
Enabling cost-effective data processing with smart SSD. MSST 2013: 1-12 - [c16]Jaeyoung Do, Yang-Suk Kee, Jignesh M. Patel, Chanik Park, Kwanghyun Park, David J. DeWitt:
Query processing on smart SSDs: opportunities and challenges. SIGMOD Conference 2013: 1221-1230 - 2011
- [j5]Eun-Kyu Byun, Yang-Suk Kee, Jin-Soo Kim, Seungryoul Maeng:
Cost optimized provisioning of elastic resources for application workflows. Future Gener. Comput. Syst. 27(8): 1011-1026 (2011) - [j4]Eun-Kyu Byun, Yang-Suk Kee, Jin-Soo Kim, Ewa Deelman, Seungryoul Maeng:
BTS: Resource capacity estimate for time-targeted science workflows. J. Parallel Distributed Comput. 71(6): 848-862 (2011)
2000 – 2009
- 2009
- [c15]Lavanya Ramakrishnan, Charles Koelbel, Yang-Suk Kee, Richard Wolski, Daniel Nurmi, Dennis Gannon, Graziano Obertelli, Asim YarKhan, Anirban Mandal, T. Mark Huang, Kiran Thyagaraja, Dmitrii Zagorodnov:
VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance. SC 2009 - 2008
- [j3]Woo-Chul Jeun, Yang-Suk Kee, Soonhoi Ha, Changdon Kee:
Overcoming performance bottlenecks in using OpenMP on SMP clusters. Parallel Comput. 34(10): 570-592 (2008) - [c14]Yang-Suk Kee, Carl Kesselman:
Grid Resource Abstraction, Virtualization, and Provisioning for Time-Targeted Applications. CCGRID 2008: 324-331 - [c13]Eun-Kyu Byun, Yang-Suk Kee, Ewa Deelman, Karan Vahi, Gaurang Mehta, Jin-Soo Kim:
Estimating Resource Needs for Time-Constrained Workflows. eScience 2008: 31-38 - [c12]Ewa Deelman, G. Bruce Berriman, Gideon Juve, Yang-Suk Kee, Miron Livny, Gurmeet Singh:
Clouds: An Opportunity for Scientific Applications?. High Performance Computing Workshop 2008: 192-215 - [c11]Yang-Suk Kee, Carl Kesselman, Daniel Nurmi, Richard Wolski:
Enabling personal clusters on demand for batch resources using commodity software. IPDPS 2008: 1-7 - 2006
- [c10]Yang Zhang, Anirban Mandal, Henri Casanova, Andrew A. Chien, Yang-Suk Kee, Ken Kennedy, Charles Koelbel:
Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling. CCGRID 2006: 568-575 - [c9]Yang-Suk Kee, Ken Yocum, Andrew A. Chien, Henri Casanova:
Robust Resource Allocation for Large-scale Distributed Shared Resource Environments. HPDC 2006: 341-342 - [c8]Woo-Chul Jeun, Yang-Suk Kee, Soonhoi Ha:
Improving Performance of OpenMP for SMP Clusters Through Overlapped Page Migrations. IWOMP 2006: 242-252 - [c7]Yang-Suk Kee, Ken Yocum, Andrew A. Chien, Henri Casanova:
Grid allocation and reservation - Improving grid resource allocation via integrated selection and binding. SC 2006: 99 - 2005
- [c6]Yang-Suk Kee, Dionysios Logothetis, Richard Y. Huang, Henri Casanova, Andrew A. Chien:
Efficient resource description and high quality selection for virtual grids. CCGRID 2005: 598-606 - 2004
- [j2]Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha:
Memory management for multi-threaded software DSM systems. Parallel Comput. 30(1): 121-138 (2004) - [c5]Yang-Suk Kee, Jin-Soo Kim, Woo-Chul Jeun, Soonhoi Ha:
Atomic Page Update Methods for OpenMP-Aware Software DSM. PDP 2004: 144-151 - [c4]Yang-Suk Kee, Henri Casanova, Andrew A. Chien:
Realistic Modeling and Svnthesis of Resources for Computational Grids. SC 2004: 54 - 2003
- [c3]Woo-Chul Jeun, Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha:
A High Performance and Low Cost Cluster-Based E-mail System. PaCT 2003: 482-496 - [c2]Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha:
ParADE: An OpenMP Programming Environment for SMP Cluster Systems. SC 2003: 6 - 2002
- [j1]Yang-Suk Kee, Soonhoi Ha:
An Efficient Implementation of the BSP Programming Library for VIA. Parallel Process. Lett. 12(1): 65-77 (2002) - 2001
- [c1]Yang-Suk Kee, Soonhoi Ha:
xBSP: An Efficient BSP Implementation for clan. CCGRID 2001: 237-244
Coauthor Index
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