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SangHyeon Eum

Graduate Student

About Me

I'm a graduate student in System Software Laboratory at UNIST. (Advisor: Prof. Young-ri Choi).
I research on System software technologies for next-generation computing systems to support emerging applications and new computer architectures; especially, related on deep learning applications and big data analytics applications.
(Research Interset: Distributed System for Deep Learning, Machine-Learning Platforms, Resource Mangement, Scheduling, Cloud-Computing, OS Level Virtualization, Next-generation Computing technologies)

Experience

Intelligence Data Processing Laboratory

Undergraduate Researcher

System Software Laboratory

External Participating Undergraduated Research Intern

System Software Laboratory

Graduate Student

Education

MyongJi University

Mar 2015 - Feb 2021

Bachelor of Engieering in Computer Engieering

UNIST

Mar 2021 - Present

Combined M.S - Ph.D Course of Science in Computer Science and Engieering

Publications

Method for Efficient Storage Resource Management in Docker Container-based Cloud Environments (Poster)

In this paper, we designed and implemented a solution to storage management problems that may occur in a public cloud environment using Docker and Kubernetes, which are representative open source platforms mainly used for microservice development and distribution.

Paper

A Study on the Network-aware Scheduler for Real-time Applications in Kubernetes based Edge Cloud Environments (Poster)

This paper is based on the Kubernetes platform in an edge cloud environment. We designed and implemented a scheduler considering the network to improve at the platform software level.

Paper

Projects

Network-Aware Placement System for URLLC service in Edge-cloud environment

In this project, we developed a cluster server-based virtual edge cloud, Koren SDI-based edge cloud, an API-based tool that can monitor network information, and a scheduler that can select the optimal network edge node. (Won a silver award in NET challenge League 7)

View Project

Ankus-Lite For Web Data Analysis

Analyzing images (photos) that are personally stored and displayed on SNS or the web to infer information on current trends or hot spots.

View Project

Skills

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