I am currently a faculty member at Kyungpook National University (KNU), Republic of Korea. My research interests are broadly in Distributed systems, Operating systems, Cloud computing, and Services computing. Prior to joining KNU, I was a computer scientist at IBM TJ Watson Research Center. While at IBM, I contributed to building enterprise-level cloud solutions for IBM business. One of my work was in building the automated container scanning for policy-defined compliance rules. This has been incorporated into the IBM Bluemix container cloud offerings. In another work, I have built solutions for improving the efficiency of IBM TSS (Technical Support Service) operations. My research area of interest broadly includes Distributed Systems, Operating Systems, Cloud Computing, Services Computing, Storage and Large-scale System Data Analysis. My current research topics of focus are:

• Log Analytics: In this work, I try to find ways to uncover hidden information in the large volume of system/application logs to quickly fix the system problems.

• Container Cloud Security: My goal is to quantify how secure the containers are. To achieve this, I seek out to collect information from Internet such as CVE and exploint codes, analyze them and translate them into the security score for various known security container runtimes. I am also building a data processing pipeline that enables us to perform cloud security analytics.

• Problem Determination via Causal System Event Monitoring: I also work on monitoring libc library calls and system calls to understand the causality of distributed applications.

Research Interests

• Log analytics, log-based anamaly detection, root cause analysis

• Container security, Security measurement and quantification

• Cloud Computing, Cloud Management

• Operating System, Virtualization

• Distributed System's Resource, Performance Management

My previous work involves developing an accurate resource accounting framework for the shared services in the cloud computing environment. Today's clouds provide many services such as key-value store and relational database services (and many others). These are shared by many user-instantiated VMs and internal nodes. It is also common that one such service builds upon some other services. Therefore, the shared service infrastructure is composed of a large number of nodes in a complex structure. For managing these infrastructures, knowing the resource consumption by individual user nodes or entities are important for many purposes such as load relocation, replication decisions as well as charging. However, due to internal s/w structures of these services, it is difficult and inaccurate to account resource consumption through traditional statistical methods. I am investigating techniques to account resource usage at a fine-grained level to increase the accuracy of resource accounting. 

Another work I have looked into is about determining the performance of user application if it were to be deployed in the cloud. This problem is important for making decisions about which cloud service to use in what ways. One challenge is that it is prohibitive to actually install the entire application to the cloud to test how the performance comes out to be. The complexity of application may be very high taking days or weeks to install correctly, and huge data may have to be migrated to the cloud incurring significant cost. In addition to this, this task of performance estimation may need to be carried out periodically to dynamically adjust the cloud-based deployment to a better cloud. I am currently developing a technique that does not require an actual installation of the application to the cloud and yet can provide accurate performance estimation.

Awards

•  CCGrid 2023 Best Research Poster Award - May, 2023.

•  KIISE Outstanding paper award 2021 (한국정보과학회 컴퓨터시스템 소사이어티우수논문상)

•  ICWS 2018 Best paper award - June, 2018

•  Next Generation Computing Spring Conference 2nd Best Paper Award (차세대컴퓨팅춘계학회 우수상) – May, 2018

•  IBM Outstanding Technical Achievement Award (OTAA) – Mar, 2016

•  IBM A-level Achievement Award – Nov, 2015

•  IBM Research Division Award – Apr, 2015

•  IBM 2nd Patent Plateau Award – Jun, 2014

•  IBM 1st Patent Plateau Award – Jun, 2013

•  IBM PhD Fellowship – Fall of 2010 to 2011

•  College of Engineering Fellowship, Pennsylvania State University – 2006 – 2009

•  University Graduate Fellowship, Pennsylvania State University – 2006

•  Full-time National Scholarship, KAIST Mar. 2001 – Feb. 2003

•  High Honor Student awarded to students of academic excellence, Yonsei University 1998

Services

Program Committee

• IEEE World Congress on Services, Congress Program Committee 2024

• IEEE CLOUD 2016, 2017, 2023, 2024

• International Conference on Cloud Computing (CLOUD) 2019, 2020, 2021, 2022, 2023

• ScalCom (IEEE International Conference on Scalable Computing and Communications) 2018, 2019, 2020, 2021, 2023

• IEEE Conference on Cloud Computing for Emerging Markets (CCEM) 2017, 2018, 2019, 2020, 2021, 2022

• The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21), 2021

• MASCOTS (International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems) 2017, 2018, 2019

• IEEE SC2 (IEEE International Symposium on Cloud and Service Computing) 2018, 2019

• ICFEC (IEEE International Conf. on Fog and Edge Computing) 2018, 2019

• IoT-HPC (Special Session on Internet of Things and HPC), 2018 

• IC2E (IEEE International Conf. on Cloud Engineering), Doctoral Symposium, 2018 

• ICCCN (International Conference on Computer Communications and Networks,  Data Centers and Big Data Computing Track ) 2017

• BDCOM (IEEE Workshop on Big Data for Cloud Operations Management) 2017

• KIPS Fall Conference 2017

Chair

• 2024년 정보과학회 컴퓨터시스템 소사이어티 조직위원장

• Session Chair at MASCOTS workshop 2023, Stony Brook, NY, USA.

• Session Chair at IEEE CLOUD 2023, Chicago, IL, USA.

• Session Chair at IEEE ICWS 2023, Chicago, IL, USA.

• 2023년 정보과학회 컴퓨터시스템 소사이어티 세션좌장

• 2022년 정보과학회 컴퓨터시스템 소사이어티 출판담당

• 2021년 KSC 프로그램 위원, Poster세션, Oral세션 좌장

• 2021년 정보과학회 컴퓨터시스템 소사이어티 세션 좌장

• Local Chair at KOCSEA 2014, Yorktown Heights, NY, USA.

• Session Chair at IEEE CLOUD 2014, Anchorage, AK, USA.

Guest Editor

• STVR(Software Testing, Verification and Reliability) Journal Special issue for IEEE Pacific Rim International Symposium on Dependable Computing (PRDC2022) 

IEEE Technical Committee on Services Computing (TCSVC)

https://tc.computer.org/tcsvc/executive-committee/

http://tab.computer.org/tcsvc/exec.htm

Editorial Board

• Services Transactions on Cloud Computing (STCC)

• Services Transactions on Internet of Things (STIOT)

Journal Reviewer

• ACM TOSEM

• PLOS ONE

• Journal of Internet of Things

• Journal of Supercomputing

• ACM TOIT

• IEEE TPDS

• IEEE TSC

• IEEE TCC

• IEEE TDSC

• IEEE Access

• Cluster Computing

Dissertation Committee

• 2022년 1학기 김도한 (지도교수:권영우) 석사논문 심사위원

• 2022년 1학기 안준영 (지도교수:서영균) 석사논문 심사위원

• 2022년 1학기 송소민 석사논문 심사위원

• 2022년 1학기 이재륜 석사논문 심사위원

• 2022년 1학기 장재연 (지도교수:정인욱) 석사논문 심사위원

• 2021년 2학기 김동우 (지도교수:최윤자) 박사논문 심사위원 

• 2021년 2학기 윤창희 (지도교수:김재일) 박사논문 심사위원 

• 2021년 2학기 채윤창 석사논문 심사위원 

• 2021년 2학기 서창호 석사논문 심사위원

• 2021년 2학기 서효주 (지도교수:김용태) 석사논문 심사위원

• 2021년 1학기 김석호 (지도교수:정순기) 석사논문 심사위원

• 2021년 1학기 추하원 (지도교수:서영균) 석사논문 심사위원

• 2021년 1학기 Manish Pandey (지도교수:권영우) 석사논문 심사위원

• 2020년 2학기 김민석 (지도교수:정순기) 석사논문 심사위원

• 2020년 1학기 메이하오란 (지도교수:펑리메이) 석사논문 심사위원

• 2020년 1학기 최원석 (지도교수:한기준) 박사논문 심사위원

• 2019년 2학기 박은미 (지도교수:정순기) 석사논문 심사위원 

• 2019년 1학기 전두용 석사논문 심사위원 

• 2018년 2학기 김인수 (지도교수:정순기) 석사논문 심사위원

• 2018년 2학기 최근호 (지도교수:이은주) 석사논문 심사위원

• 2017년 2학기 조익현 (지도교수:정순기) 석사논문 심사위원, 석사 논문 제목: 연속적인 장면에서의 상대적 위상 관계 기반의 필터링을 이용한 선분 및 특징점 매칭

• 2017년 2학기 백기열 (지도교수:정순기) 석사논문 심사위원, 석사 논문 제목: 다중 영상 시점 정합을 이용한 가상 거울 트레이닝 시스템 개발

• 2017년 2학기 손경지 (지도교수:김항준) 석사논문 심사위원, 석사 논문 제목: PLM기반의 CATIA Application 을 이용한 선박설계 및 디지털 시뮬레이션