Seungwoo Rho

Mr. Seungwoo Rho


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 July 2018 in Cluster Computing
Verified
Journal Article
Closed access
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GPGeunchul Park
Geunchul Park
SRSeungwoo Rho
Seungwoo Rho
JKJik-Soo Kim
Jik-Soo Kim
DNDukyun Nam
Dukyun Nam

1 March 2021 in Cluster Computing
Verified
Journal Article
Closed access
PDF file
SRSeungwoo Rho
Seungwoo Rho
GPGeunchul Park
Geunchul Park
JCJi Eun Choi
Ji Eun Choi
CPChan-Yeol Park
Chan-Yeol Park

4 February 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Wan Yeon LeeWan Yeon Lee
Wan Yeon Lee
JRJinseung Ryu
Jinseung Ryu
SRSeungwoo Rho
Seungwoo Rho
SKSangwan Kim
Sangwan Kim
KJKimoon Jeong
Kimoon Jeong
Diskless computing nodes in cluster supercomputers require massive deployment procedure of operating systems software for their booting. Most previous studies for massive deployment of large files focus on developing flexible and scalable mechanisms in hidden or changeable network topologies, but the topology-optimal deployment has been rarely investigated in fixed open network topologies. In this article, we investigate the topology-optimal deployment method designed for a specific cluster supercomputer with the fat-tree topology. We examine possible deployment approaches and propose the optimal peer-to-peer deployment method. The proposed deployment method minimizes the number of peer-to-peer transmission steps by fully utilizing resources of the fat-tree topology and avoids contention between peer-to-peer communications. Simulation results show that the proposed method completes deployment at least nine times faster than the baseline method.