Jaeyoon Chung

Postdoctoral Research Associate, Princeton University

Email: jaeyoon.chung at princeton.edu
F310, E-Quad, Olden Street, Princeton, NJ, USA (08544)
LinkedIn: www.linkedin.com/pub/jaeyoon-chung/7b/629/367/


Research Interests

Experiences and Activities

  • 2016. 9 ~ Present: Co-Chair of Testbed Working Group in OpenFog Consortium
  • 2015. 9 ~ Present: Postdoctoral Research Associate, Edge Lab., Princeton University, NJ, USA
  • 2016. 5: Technical Program Committee of CISS 2016
  • 2013. 6 ~ 2014. 3: Visiting Student Research Collaborator, Edge Lab., Princeton University, NJ, USA
  • 2011. 9 ~ 2011. 12: TA on Operating System, POSTECH, Korea
  • 2009. 3 ~ 2009. 6: TA on Digital System Design, POSTECH, Korea
  • 2008. 1 ~ 2008. 2: Internship at Nomad Connection
  • 2013. 12 ~ 2017. 6: 6 reviews for IEEE Internet of Things Journal
  • 2012. 6 ~ 2016. 10: 53 reviews for International Journal of Network Management

Awards and Honors

  • 2014. 11: Excellence Award, POSTECH Business Model Content, Pohang, Korea
  • 2012. 9: Best Paper Award, IEEE APNOMS 2012, Seoul, Korea
  • 2010. 4: Student Travel Grants, IFIP/IEEE NOMS 2010, Osaka, Japan
  • 2005. 3 ~ 2009. 2: Academic Scholarship, Korea Student Aid Foundation

Research/Project Experiments

Client-defined privacY Reliable cloUd Storage

Collaborative Research with Edge Lab., Princeton University (2014)

This research have focused on developing a novel cloud storage service. We enhance user privacy and reliability by coordinating multiple cloud storages from clients. We applied data deduplication techniques and Erasure Code to distribute user data to multiple storages.

Effective Mobile Network Probing Method for LTE

Collaborative Research with Edge Lab., Princeton University (2013)

This research focuses on developing effective probing method and infer network status from client-side. I developed a probing method and inference algorithm considering with LTE resource allocation. I also developed a probing agent (prototype) for Android devices. Twelve devices have been running near Time Square, NYC and collecting LTE network status.

Design and Implementation of Mobile Traffic Classification Methodology

Funded by Microsoft Research Asia (2011 – 2012)

This research project aims at developing a novel application-level traffic classification methodology to monitor and analyze mobile traffic. The key challenges are the different traffic characteristics of mobile traffic compared to traditional Internet traffic and the limited computing resources of mobile devices. My role in this project includes, but is not limited to developing methodologies for discrimination of mobile traffic from the mixture of mobile and non-mobile traffic and a new application-level mobile traffic classification.

Highly Manageable Network and Service Architecture for Next Generation (HiMang)

Funded by Electronics and Telecommunications Research Institute (ETRI) (2010 – 2012)

HiMang is a part of 3-year-long government funded project. This research project is to develop a novel autonomic and cognitive approach to providing a highly manageable network and service management architecture for current as well as future networks. It is based on using an innovative knowledge representation methodology that unifies disparate knowledge sources and greatly improves learning, decision-making, and reasoning in management systems. My work involves investigating traffic monitoring methodologies for HiMang architecture.

Security Research for Mobile Cloud Service

Funded by KT Corporation (2010 – 2010)

This research project aims at surveying and implementing security techniques for mobile cloud service. To improve security-level of mobile cloud service, monitoring and analyzing abnormal behavior of each mobile virtual instance have been required. The major challenge of this project is to minimize the computation of hypervisor while monitoring mobile virtual instances in terms of both host-level and network level behaviors. To solve this problem, I have developed a system which monitors behaviors of mobile virtual instances using traffic mirroring technique. I have also applied machine learning algorithm to detect abnormal behavior of virtual mobile instances.

IT Convergence for Ubiquitous Autonomic Systems

Funded by Ministry of Education, Science, and Technology, Korea (2009 – 2013)

This is part of the research work proposed under our World Class University grant from the Korean government. My work includes investigating how autonomic mechanisms can be applied to manage new ubiquitous computing systems that use bio-informatics, nano-technologies, and networking technologies for building ubiquitous computing applications (called ubiquitous health and ubiquitous environment applications in Korea).



  1. Jaeyoon Chung, Youngjoon Won, Byungchul Park, and Jamed Won-Ki Hong "Mass-Count Disparity in Mobile Traffic", IEEE Communications Letters, Vol. 20, No. 1, Jan. 2016, pp. 65-68.
  2. Jae Yoon Chung, Sangtae Ha, and James Won-Ki Hong, "A Management Architecture for Client-defined Cloud Storage Services", International Journal of Network Management (IJNM), Vol. 25, Issue 6, Nov./Dec. 2015, pp 435–453.
  3. Byungchul Park, Youngjoon Won, Jae Yoon Chung, Myung-sup Kim, and James Won-Ki Hong, "Fine-grained Traffic Classification based on Functional Separation", International Journal of Network Management (IJNM), vol. 23, no. 6, Sept./Oct. 2013, pp. 350-381.


  1. Taeyeol Jeong, Jaeyoon Chung, James Won-ki Hong, and Sangtae Ha, "Towards a Distributed Computing Model for Fog", Fog World Congress 2017, Santa Clara, CA, USA, Oct. 30 - Nov. 1, 2017. (under review)
  2. Yushi Sun, Catherine Y. Zeng, Jaeyoon Chung, and Zhe Huang, "Online Data Deduplication for In-Memory Big-Data Analytic Systems", IEEE International Conference on Communications (ICC 2017), Paris, France, 21-25 May, 2017.
  3. Jae Yoon Chung, Carlee Joe-Wong, Sangtae Ha, James Won-Ki Hong, and Mung Chiang, "CYRUS: Towards Client-Defined Cloud Storage", ACM EuroSys, Bordeaux, France, April 21-24, 2015.
  4. Yoonseon Han, Jian Li, Jae Yoon Chung, Jae-Hyoung Yoo and James Won-Ki Hong, "SAVE: Energy-Aware Virtual Data Center Embedding and Traffic Engineering using SDN", 1st IEEE Conference on Network Softwarization (NetSoft 2015), UCL, UK, April 13-17, 2015.
  5. Taeyeol Jeong, Sin-seok Seo, Jae Yoon Chung, Bernard Niyonteze, Jae-Hyoung Yoo and James Won-Ki Hong, "Multi-Objective Optimization-based Traffic Engineering for Data Center Networks", 16th Asia-Pacific Network Operations and Management Symposium (APNOMS 2014), Hsinchu, Taiwan, Sept. 17-19, 2014.
  6. Jae Yoon Chung, Jian Li, Yeongrak Choi, and James Won-Ki Hong, "Application Traffic Identification Based on Remote Subnet Grouping", 14th Asia-Pacific Network Operations and Management Symposium (APNOMS 2012), Seoul, Korea, Sep. 25-27, 2012. (Best Paper Award)
  7. Yeongrak Choi, Jae Yoon Chung, Byungchul Park and James Won-Ki Hong, "Automated Classifier Generation for Application-Level Mobile Traffic Identification" , 13th IEEE/IFIP Network Operations and Management Symposium (NOMS 2012), Maui, Hawaii, USA, April 16-20, 2012.
  8. Taehyun Kim, Yeongrak Choi, Seunghee Han, Jae Yoon Chung, Jonghwan Hyun, Jian Li, and James Won-Ki Hong, "Monitoring and Detecting Abnormal Behavior in Mobile Cloud Infrastructure", 2012 IEEE/IFIP International Workshop on Cloud Management (CloudMan 2012), Maui, Hawaii, USA, April 20, 2012.
  9. Jae Yoon Chung, Yeongrak Choi, Byungchul Park, and James Won-Ki Hong, "Measurement Analysis of Mobile Traffic in Enterprise Networks", 13th Asia-Pacific Network Operations and Management Symposium (APNOMS 2011), Taipei, Taiwan, Sep. 21-23, 2011.
  10. Jian Li, Jae Yoon Chung, Jin Xiao, James Won-Ki Hong, and Raouf Boutaba, "On The Design and Implementation of a Home Energy Management System", 6th IEEE International Symposium on Wireless and Pervasive Computing (ISWPC 2011), Hong Kong, China, Feb. 23-25, 2011. (WCU support)
  11. Jin Xiao, Jae Yoon Chung, Jian Li, Raouf Boutaba, and James Won-Ki Hong, "Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing", 6th International Conference on Network and Service Management (CNSM 2010), Niagara Falls, Canada, Oct. 25-29, 2010. (WCU support)
  12. Arum Kwon, Joon-Myung Kang, Sin-seok Seo, Sung-Su Kim, Jae Yoon Chung, John Strassner, and James Won-Ki Hong, "The Design of a Quality of Experience Model for Providing High Quality Multimedia Services", 5th International Workshop on Modelling Autonomic Communication Environments (MACE 2010), Niagara Falls, Canada, Oct. 28, 2010.
  13. Jae Yoon Chung, Byungchul Park, Young J. Won, John Strassner, and James Won-Ki Hong, "An Effective Similarity Metric for Application Traffic Classification", the 12th IEEE/IFIP Network Operations and Management Symposium (NOMS 2010), Osaka, Japan, Apr. 19-23, 2010.
  14. Jae Yoon Chung, Byungchul Park, Young J. Won, John Strassner, and James Won-Ki Hong, "Traffic Classification Based on Flow Similarity", 9th IEEE International Workshop on IP Operations & Management (IPOM 2019), Venice, Italy, Oct. 29-30, 2009.