An Ontology-Based Resource Selection Service on Science Cloud. - Hyunjeong Yoo; Cinyoung Hur; Seoyoung Kim 001; Yoonhee Kim (FGIT-GDC, 2009)

Supporting an interactive scientific workflow in aerodynamics analysis over e-Science environment. - Seoyoung Kim 001; Kyoung-a Yoon; Hyejeong Kang; Yoonhee Kim; Chongam Kim (APNOMS, 2011)

A Science Cloud Resource Provisioning Model Using Statistical Analysis of Job History. - Seoyoung Kim 001; Jung-In Koh; Yoonhee Kim; Chongam Kim (DASC, 2011)

A scientific workflow supported environment over hybrid infrastructure for aerodynamics design. - Seoyoung Kim 001; Hyejeong Kang; Yoonhee Kim (APNOMS, 2012)

Application-specific Cloud Provisioning Model Using Job Profiles Analysis. - Seoyoung Kim 001; Yoonhee Kim (HPCC-ICESS, 2012)

Abstract: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. - Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Seokkyoo Kim; Jik-Soo Kim; Soonwook Hwang (SC Companion, 2012)

Poster: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. - Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Seokkyoo Kim; Jik-Soo Kim; Soonwook Hwang (SC Companion, 2012)

An allocation and provisioning model of science cloud for high throughput computing applications. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (CAC, 2013)

Towards effective science cloud provisioning for a large-scale high-throughput computing. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (Clust. Comput., 2014)

A Comparative Analysis of Scheduling Mechanisms for Virtual Screening Workflow in a Shared Resource Environment. - Bui The Quang; Jik-Soo Kim; Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Soonwook Hwang; Emmanuel Medernach; Vincent Breton (CCGRID, 2015)

A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service. - Jieun Choi; Seoyoung Kim 001; Theodora Adufu; Soonwook Hwang; Yoonhee Kim (ICCAC, 2015)

VM auto-scaling methods for high throughput computing on hybrid infrastructure. - Jieun Choi; Younsun Ahn; Seoyoung Kim 001; Yoonhee Kim; Jaeyoung Choi (Clust. Comput., 2015)

Adaptive application-aware job scheduling optimization strategy in heterogeneous infrastructures. - Seoyoung Kim 001; Jieun Choi; Yoonhee Kim (Clust. Comput., 2016)

iSDF: An integrated software-defined computing framework for scientific experiments. - Seoyoung Kim 001; Julim Ahn; Heewon Kim; Yoonhee Kim; Jieun Choi (APNOMS, 2017)

A Study on Optimal Scheduling Using High-Bandwidth Memory of Knights Landing Processor. - Seungwoo Rho; Geunchul Park; Jik-Soo Kim; Seoyoung Kim 001; Dukyun Nam (FAS*W@SASO/ICCAC, 2017)

Towards effective scheduling policies for many-task applications: Practice and experience based on HTCaaS. - Jik-Soo Kim; Bui The Quang; Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Vincent Breton; Soonwook Hwang (Concurr. Comput. Pract. Exp., 2017)

Toward an Adaptive Fair GPU Sharing Scheme in Container-Based Clusters. - Jisun Oh; Seoyoung Kim 001; Yoonhee Kim (FAS*W@SASO/ICAC, 2018)

Design of an adaptive GPU sharing and scheduling scheme in container-based cluster. - Qichen Chen; Jisun Oh; Seoyoung Kim 001; Yoonhee Kim (Clust. Comput., 2020)