Data Computing Laboratory

Ji-Hyun Na, Hyeon-Jin Yu, Hyeongbin Kang, Heeju Kang, Hee-Dong Lim, Jae-Hyuck Shin, Seo-Young Noh: PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes. IEEE Access 12: 179130 - 179143 (2024).
https://doi.org/10.1109/ACCESS.2024.3507194

Jeongmin Lee, Hyeongbin Kang, Hyeon-jin Yu, Ji-Hyun Na, Jungbin Kim, Jae-hyuck Shin & Seo-Young Noh:  MDB-KCP: persistence framework of in-memory database with CRIU-based container checkpoint in Kubernetes. Journal of Cloud Computing 13, 124 (2024). https://doi.org/10.1186/s13677-024-00687-9

Jungbin Kim, Hyeon-Jin Yu, Hyeongbin Kang, Jae-Hyuck Shin, Heeseok Jeong, Seo-Young Noh: Performance Analysis of Distributed File System Based on RAID Storage for Tapeless Storage. IEEE Access 11: 116153-116168 (2023)

Jun-Yeong Lee, Moon-Hyun Kim, Syed Asif Raza Shah, Sang-Un Ahn, Heejun Yoon, Seo-Young Noh: Performance Evaluations of Distributed File Systems for Scientific Big Data in FUSE Environment. Electronics 10, no. 12: 1471. (2021)

Syed Asif Raza Shah, Ahmad Waqas, Moon-Hyun Kim, Tae-Hyung Kim, Heejun Yoon, Seo-Young Noh :  Benchmarking and Performance Evaluations on Various Configurations of Virtual Machine and Containers for Cloud-based Scientific Workloads. Applied Sciences 11(3) (2021)

Moon-Hyun Kim, Jun-Yeong Lee, Syed Asif Raza Shah, Tae-Hyung Kim, Seo-Young Noh: Min-Max Exclusive Virtual Machine Placement in Cloud Computing for Scientific Data Environment. Journal of Cloud Computing 10(4) (2021)

Yoon, JunWeon, Hong, TaeYoung, Park, ChanYeol, Noh, Seo-Young, Yu, HeonChang: Log Analysis-Based Resource and Execution Time Improvement in HPC: A Case Study. Applied Science 10(7) (2020)

Byungyun Kong, Geonmo Ryu, Sangwook Bae, Seo-Young Noh, Heejun Yoon: An Efficient Approach to Consolidating Job Schedulers in Traditional Independent Scientific Workflows. Applied Sciences: 10(4) (2020)

Syed Asif Raza Shah, Seo-Young Noh: A Dynamic Programmable Network for Large-Scale Scientific Data Transfer Using AmoebaNet. Applied Sciences: 9(21) (2019)

Syed Asif Raza Shah, Wenji Wu, Qiming Lu, Liang Zhang, Sajith Sasidharan, Phil DeMar, Chin Guok, John Macauley, Eric Pouyoul, Jin Kim, Seo-Young Noh: AmoebaNet: An SDN-enabled network service for big data science. J. Network and Computer Applications 119: 70-82 (2018)

Amol Jaikar, Seo-Young Noh: NOVEL: NO-VowEL Technique to Search Fuzzy Keyword. MDM 2017: 315-319

Hao Wu, Shangping Ren, Gabriele Garzoglio, Steven Timm, Gerard Bernabeu, Keith Chadwick, Seo-Young Noh: A Reference Model for Virtual Machine Launching Overhead. IEEE Trans. Cloud Computing4(3): 250-264 (2016)

Amol Jaikar, Seo-Young Noh: Cloud Computing: Read Before Use. T. Large-Scale Data- and Knowledge-Centered Systems 30: 1-22 (2016)

Syed Asif Raza Shah, Sangwook Bae, Amol Jaikar, Seo-Young Noh: An adaptive load monitoring solution for logically centralized SDN controller. APNOMS2016: 1-6

Amol Jaikar, Dada Huang, Geyong-Ryoon Kim, Seo-Young Noh: Power efficient virtual machine migration in a scientific federated cloud. Cluster Computing18(2): 609-618 (2015)

Amol Jaikar, Seo-Young Noh: Cost and performance effective data center selection system for scientific federated cloud.Peer-to-Peer Networking and Applications 8(5): 896-902 (2015)

Amol Jaikar, Syed Asif Raza Shah, Sangwook Bae, Seo-Young Noh: Performance Evaluation of Scientific Workflow on OpenStack and OpenVZ. CloudComp2015: 126-135

Syed Asif Raza Shah, Amol Jaikar, Seo-Young Noh: A performance analysis of precopy, postcopy and hybrid live VM migration algorithms in scientific cloud computing environment.HPCS 2015: 229-236

Seo-Young Noh, Steven Timm, Haengjin Jang: vcluster: a framework for auto scalable virtual cluster system in heterogeneous clouds. Cluster Computing 17(3): 741-749 (2014)

Hao Wu, Shangping Ren, Gabriele Garzoglio, Steven Timm, Gerard Bernabeu, Seo-Young Noh: Modeling the Virtual Machine Launching Overhead under Fermicloud. CCGRID 2014: 374-383

Tiago Pais Pitta De Lacerda Ruivo, Gerard Bernabeu Altayo, Gabriele Garzoglio, Steven Timm, Hyunwoo Kim, Seo-Young Noh, Ioan Raicu: Exploring Infiniband Hardware Virtualization in OpenNebula towards Efficient High-Performance Computing. CCGRID 2014: 943-948

Amol Jaikar, Dada Huang, Geyong-Ryoon Kim, Seo-Young Noh: Priority-based virtual machine load balancing in a scientific federated cloud. CLOUDNET 2014: 248-254

Hao Wu, Shangping Ren, Gabriele Garzoglio, Steven Timm, Gerard Bernabeu, Hyunwoo Kim, Keith Chadwick, Haengjin Jang, Seo-Young Noh: Automatic Cloud Bursting under FermiCloud. ICPADS 2013: 681-686

Hyeon-Jin Yu, Hyeongbin Kang, Ji-Hyun Na, Jaehyuck Shin, Sang Un Ahn, Jae-Kook Lee, Do-Sik An, Taeyoung Hong, HeeJun Yoon, Seo-Young Noh: A New CERN ALICE Grid Site based on Supercomputing Resources for Processing Large Experimental Data. KCC 2024: 16-18 (2024) 

Ji-Hyun Na, HyeongBin Kang, Hyeon-Jin Yu, Jaehyuck Shin, Seo-Young Noh: Volume Autopilot: Volume Auto-scaler for Stateful Applications in Kubernetes Environment. KCC 2024: 1567-1569 (2024) 

Heeju Kang, Hyeongbin Kang, Ji-Hyun Na, Hyeon-Jin Yu, Jaehyuck Shin, Seo-Young Noh: Pattern Learning-based Adaptive Circuit Breaker to Improve System Stability in Microservice Environment. KCC 2024: 1630-1632 (2024) 

Hyeongbin Kang, Hyeon-Jin Yu, Jungbin Kim, Heeseok Jeong, Jae-Hyuck Shin, Seo-Young Noh: Dovetail Usage Prediction Model for Resource-EfficientVirtual Machine Placement in Cloud Computing Environment. Journal of KIISE 50, no. 12: 1041-1047 (2023) 

JungBin Kim, HyeonJin Yu, JaeHyuck Shin, SeoYoung Noh: Performance Analysis of Container Runtime in Kubernetes based Storage Environments. KCC 2023: 1468-1470 (2023)

Hyeon-Jin Yu, Ji-Hyun Na, Jae-Hyuck Shin, Seo-Youn Noh: Performance Analysis of Docker, Podman, LXD Container for Processing Machine Learning Jobs of Scientific Data in HTC Environment. KCC 2023: 1525-1527 (2023)

Jaehyuck Shin, Hyeon-Jin Yu, Hyeongbin Kang, Jaehyun Kim, Seo-Young Noh: Development of Volunteer Computing System for Parallel Reinforcement Learning of Scientific Data. KCC 2023: 1480-1482 (2023)

Ji-Hyun Na, Jeong-Bin Kim, Jeong-Min Lee, Seo-Young Noh: Reserve Operation: Improving Stateful Application Availability with Kubernetes Failover Pods Deployment Strategy. KCC 2023: 1471-1473 (2023)

Jeong-Min Lee, Jung-Bin Kim, Hyeong-Bin Kang, Seo-Young Noh: Blending Strategy of Pod Scaling and Selection Algorithm of Resource-based Scaling Strategy in Kubernetes. KCC 2023: 1483-1485 (2023)

Hyeongbin Kang, Jihyun Na, Jeongmin Lee, Hee-Seok Jeong, Seo-Young Noh: Weighted PCA-based Multi-Objective Optimization Strategy for Multi-Perspective Virtual Machine Placement in Cloud. KCC 2023: 1592-1594 (2023)

Hyeongbin Kang, Hyeon-Jin Yu, Jungbin Kim, Jaehyuck Shin, Seo-Young Noh: Dovetail Virtual Machine Placement based on Prediction of Usage in Cloud Computing Environment. KSC 2022: 54-56 (2022)

Hyeon-jin Yu, Hyeong-bin Kang, Jung-bin Kim, Jae-Hyuck Shin, Seo-Young Noh: SMART Data and Prometheus based Disk Monitoring System in CERN EOS Environment. KSC 2022: 1196-1198 (2022)

Jungbin Kim, Seongmin Kim, Kyeong-Jun Kim, Jaehyuck Shin, Seo-Young Noh: Performance Comparison of Distributed File Systems based on Container and Bare-metal for Big Data Analytics Environments. KCC 2022: 1534-1536 (2022)

Kyeong-Jun Kim, Jungbin Kim, Seongmin Kim, Jaehyuck Shin, Seo-Young Noh: A Hard Disk Status Monitoring Strategy of Pull Method considering Disk Failure Prediction and Scalability. KCC 2022: 1549-1551 (2022)

Jaehyuck Shin,  Seongmin Kim, Kyeong-Jun Kim, Jungbin Kim, Seo-Young Noh: Durability-Based Virtual Machine Resource Placement Method for Major Components in Cloud Computing Server. KCC 2022: 1546-1548 (2022)

Seongmin Kim, Jaehyuck Shin, Jungbin Kim, Kyeong-Jun Kim, Seo-Young Noh: A Virtual Machine Placement Scheme Based on Multi-objectives for Saving Operating Costs in Cloud Data Centers. KCC 2022: 25-27 (2022)

Moonhyun-Kim, Jun-Yeong Lee, Kyeong-Jun Kim, Seo-Young Noh: Machine Learning-Based Multi-Perspective Virtual Machine Placement for Large Cloud Computing Environment. KCC 2021: 16-18 (2021)

Jun-Yeong Lee, Moonhyun-Kim, Kyeong-Jun Kim, Seo-Young Noh: I/O Performance Comparisons of CERN EOS Distribute File System under Bare-metal and KVM Deployment Environments. KCC 2021: 481-483 (2021)

Kyeong-Jun Kim, Jae-Sik Moon, Moonhyun-Kim, Jun-Yeong Lee, Seo-Young Noh: A Build Cache Optimization Strategy in Docker based CI/CD Environments. KCC 2021: 1358-1360 (2021)

Moonhyun-Kim, Jun-Yeong Lee, Byung-Yun Kong, Seo-Young Noh: Host Machine Selection Algorithm for Data-Intensive Research in Cloud Computing. KCC 2020: 30-32 (2020)

Jun-Yeong Lee, Moonhyun-Kim, Seo-Young Noh: Performance Comparison between CERN EOS and GlusterFS Distributed Filesystem. KCC 2020: 41-43 (2020)

Jun-Yeong Lee, Moon-hyun-Kim, Seo-Young Noh: Benchmarking on Distributed File Systems for Scientific Big Data Processing. BIGDAS2020 ISSN2446-135X Vol (2020)

노서영, 신재혁, 유현진, 오픈소스와 리눅스, 2025, 도서출판 홍릉

노서영, 모두를 위한 클라우드 컴퓨팅, 2022, JPub

노서영, 윤석훈, 강진성, 송원준, 이윤재, 임윤재, 코드로 알아보는 ARM 리눅스 커널, 2012, JPub