Hyeongbin Kang, a Ph.D. student at DCLab, has published a paper titled “Asymmetric virtual machine replacement: a multi-objective optimization approach for energy efficiency in cloud data centers” in the Journal of Cloud Computing, an SCIE-indexed journal with an impact factor of 5.5. His paper introduces AVMrP, a multi-objective evolutionary optimization framework for cloud data centers that employs an asymmetric VM replacement strategy — leveraging real-time resource usage observations across heterogeneous servers — to simultaneously minimize power consumption and migration cost while explicitly controlling overcommitment ratios to prevent SLA violations. Congratulations, Hyeongbin! [Paper Link]
Hyeon-Jin Yu, a Ph.D. student, will particiapte in a global research project at CERN which is the largest particle physics research institute in the world. She will collaborate with IT experts at CERN from September to April 2027 for data transmission and processing of large experimental data of ALICE expreiment. Her visit was initiated by an invitation from the CERN ALICE experiment and is jointly funded by CERN ALICE and the Korea-CERN project. [News Link]
Hyeon-Jin Yu, a Ph.D. student at DCLab, has published a paper titled “Interoperable Integration of High-Performance Computing Systems into the ALICE Grid across Multiple Security Domains for the HL-LHC Era” in the Journal of Grid Computing, an SCIE-indexed journal with an impact factor of 2.9. Her paper presents the first supercomputer-based Grid system in Asia. This work is the result of a collaborative effort among CERN (Europe), the Supercomputing Center and Data Center at KISTI, and Chungbuk National University. Congratulations, Hyeon-Jin! [Paper Link]
Ph.D. student Hyeon-Jin Yu and M.S. student Heeju Kang have been awarded the Student Research Support Grant, funded by the Ministry of Education. Hyeon-Jin will receive 50M KRW over two years while Heeju will receive 12M KRW for one year. Congratulations to Hyeon-Jin and Heeju on this outstanding achievement!
Ji-Hyun Na, an alumna of the Data Computing Lab who graduated in February 2025, has officially received an offer from Naver Cloud. She will begin her journey there in July. Congratulations to Ji-Hyun, and we wish her all the best as she builds her career as a cloud specialist!
Ji-Hyun Na, an M.S student at DCLab, has published a paper titled "PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes" in the IEEE Access, an SCIE-indexed journal with an impact factor of 3.4. Her paper proposes a Persistent Volume Autoscaler (PVA) that automatically manages the volume resources in Kubernetes. Congratulations, Ji-Hyun! [Paper Link]
Jeongmin Lee, a former undergraduate intern at DCLab, has published a paper titled "MDB-KCP: Persistence Framework of In-Memory Database with CRIU-based Container Checkpoint in Kubernetes" in the Journal of Cloud Computing, an SCIE-indexed journal with an impact factor of 3.7. His paper explores the limitations of using data snapshots for persistence in in-memory databases within a Kubernetes environment and proposes an alternative solution utilizing container checkpoints. Congratulations, Jeongmin! [Paper Link]