Data Computing Laboratory

Journals & Conference Papers

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

Domestic Journals & Conference Papers

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)

Books

노서영, 모두를 위한 클라우드 컴퓨팅, 2022, JPub

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