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Soo-Yong Kang

Hanyang University · 情報科学

研究室紹介

Professor Soo-Yong Kang's research lab focuses on computer systems and storage technologies, with a strong emphasis on optimizing performance in non-volatile memory systems, flash memory, and continuous media storage. The lab investigates advanced data placement, file organization, and buffer management techniques—particularly for next-generation non-volatile RAM (NVRAM) and multizone recording (MZR) disks—aiming to enhance I/O efficiency and real-time performance in streaming and embedded systems. Their work spans from low-level storage mechanisms to high-level system integration, including applications in video-on-demand servers and medical implant systems.

non-volatile memoryflash memorydata placementcontinuous media storageMZR disks

Research Overview

Papers
123
Total Citations
984
Papers (5y)
13
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
13total
2022
2023
2024
2025
2026
Citations per year (5y)
29total
20222023202420252026

Selected Papers

15
1
Article|136 citations·2009
Performance Trade-Offs in Using NVRAM Write Buffer for Flash Memory-Based Storage Devices
Sooyong Kang, Sung‐Min Park, Jung Ho-Young, Hyoki Shim, Jaehyuk Cha
SJR Q1IEEE Transactions on Computers

While NAND flash memory is used in a variety of end-user devices, it has a few disadvantages, such as asymmetric speed of read and write operations, inability to in-place updates, among others. To overcome these problems, various flash-aware strategies have been suggested in terms of buffer cache, file system, FTL, and others. Also, the recent development of next-generation nonvolatile memory types such as MRAM, FeRAM, and PRAM provide higher commercial value to non-volatile RAM (NVRAM). At toda

Computer Networks and CommunicationsComputer Science
2
Article|15 citations·1999
Transmission of video streams with constant bandwidth allocation
Sooyong Kang, Heon Y. Yeom
SJR Q1Computer Communications
Computer Networks and CommunicationsComputer Science
3
Article|12 citations·2009
Preblending Effects of Curing Agents on the Characteristics of Mechanically Deboned Chicken Meat
Sooyong Kang, Ki‐Soo Park, Yang-Il Choi, Sang‐Hwa Lee, Joong‐Hyuck Auh
Korean Journal for Food Science of Animal ResourcesOA
Animal Science and ZoologyAgricultural and Biological Sciences
4
Article|7 citations·2009
A fast and progressive algorithm for skyline queries with totally- and partially-ordered domains
Hyungsoo Jung, Hyuck Han, Heon Y. Yeom, Sooyong Kang
SJR Q1Journal of Systems and Software
Signal ProcessingComputer Science
5
Article|7 citations·2019
CollaboRoid: Mobile platform support for collaborative applications
Hochul Lee, Jaehun Lee, Young Choon Lee, Sooyong Kang
SJR Q1Pervasive and Mobile Computing
Computer Networks and CommunicationsComputer Science
6
Article|6 citations·2006
Harmonic placement
Sooyong Kang, Youjip Won, Seunghyun Roh

From file system's point of view, scalable streaming introduces another dimension of complexity in disk scheduling. This is particularly because when a subset of information is retrieved, the playback does not necessarily coincides with the sequential access. We propose a new file organization technique called Harmonic placement. The basic idea is to cluster the frequently accessed layers together. We develop elaborate analytical models for different file organization techniques: Progressive pla

Computer Networks and CommunicationsComputer Science
7
Article|6 citations·2019
Mobile collaborative computing on the fly
Hochul Lee, Jaehun Lee, Young Choon Lee, Hyuck Han, Sooyong Kang
SJR Q1Pervasive and Mobile Computing
Signal ProcessingComputer Science
8
Article|6 citations·2000
Statistical admission control for soft real-time VOD servers
Sooyong Kang, Heon Y. Yeom

To fully utilize the resources with soft real-time video-on-demand servers, statistical admission control is widely used. There have been several models to capture the nature of bit rate variability of the video data. However, when the video server employs caching, the resulting workload exhibits different characteristics. In this paper, we present a probabilistic model to analyze the video server workload. Our model enables the quantitative analysis of the disk load reduction induced by caching

Computer Networks and CommunicationsComputer Science
9
Article|5 citations·2017
PCS: a parity-based personal data recovery service in cloud
Hyungsoo Jung, Yongsu Park, Chi-won Song, Sooyong Kang
SJR Q1Cluster Computing
Artificial IntelligenceComputer Science
10
Article|5 citations·2003
Storing continuous media objects to multizone recording disks using multirate smoothing technique
Sooyong Kang, Heon Y. Yeom
SJR Q1IEEE Transactions on Multimedia

Since multizone recording disks have different bandwidths and capacities depending on the zone in use, data placement schemes for traditional constant angular density disks are not suitable for multizone recording disks. In this paper, we propose a new block placement algorithm for multizone recording disks used for continuous media servers. The proposed scheme exploits the bandwidth-saving effect of smoothing variable bit rate data before storing them. The diversity of zone bandwidths in multiz

Computer Networks and CommunicationsComputer Science
11
Article|5 citations·2003
Modeling the Caching Effect in Continuous Media Servers
Sooyong Kang, Heon Y. Yeom
SJR Q1Multimedia Tools and Applications
Computer Networks and CommunicationsComputer Science
12
Article|5 citations·2022
Workload-optimized sensor data store for industrial IoT gateways
Kihan Choi, Hyuck Han, Hyungsoo Jung, Sooyong Kang
SJR Q1Future Generation Computer Systems
Information SystemsComputer Science
13
Article|5 citations·2014
Integrated write buffer management for solid state drives
Park Sung-Min, Jaehyuk Cha, Sooyong Kang
SJR Q1Journal of Systems Architecture
Computer Networks and CommunicationsComputer Science
14
Article|4 citations·2023
CredsCache: Making OverlayFS scalable for containerized services
Kihan Choi, Hyungseok Seo, Hyuck Han, Minsoo Ryu, Sooyong Kang
SJR Q1Future Generation Computer Systems
Information SystemsComputer Science
15
Article|3 citations·2016
Exploiting remote GPGPU in mobile devices
Jaehun Lee, Kihan Choi, Youngjin Kim, Hyuck Han, Sooyong Kang
SJR Q1Cluster Computing
Computer Networks and CommunicationsComputer Science

Research Areas

Computer Networks and CommunicationsInformation SystemsSignal ProcessingHardware and ArchitectureComputer Vision and Pattern RecognitionArtificial Intelligence

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