- Integrate virtual cluster based computing infrastructure with highly dynamic Linux container based technology (such as Docker).
- Develop autonomic approach to optimize resource allocation and assignment in PRAGMA-ENT environment.
- G. Lee and J. A. B. Fortes, “Improving data-analytics performance via autonomic control of concurrency and resource units”, (under review)
- K. Nakashima, J. Kon, G. Lee, J. Fortes, and S. Yamaguchi, “A Study on Big Data I/O Performance with Modern Storage Systems”, in IEEE International Conference on Big Data, Boston, MA, USA, 2017.
- G. Lee and J. A. B. Fortes, “Hierarchical Self-Tuning of Concurrency and Resource Units in Data-Analytics Frameworks”, in IEEE International Conference on Autonomic Computing (ICAC), USA, 2017.(Best Student Paper Award)
- G. Lee and J. A. B. Fortes, “Self-Tuning of Job Concurrency for Hadoop Performance Improvement", in PRAGMA 32, Gainesville, USA, 2017. (Best Poster Award Nominee)
- G. Lee and J. A. B. Fortes, “Hadoop Performance Self-Tuning Using a Fuzzy-Prediction Approach”, in IEEE International Conference on Autonomic Computing (ICAC), Germany, 2016.
- G. Lee, et al., “Towards real-time communication between in vivo neurophysiological data sources and simulator-based brain biomimetic models”, Journal of Computational Surgery, vol. 3, no. 12, 2014.
I am a Ph.D candidate under the supervision of Dr. José A.B. Fortes in the Department of Electrical and Computer Engineering at the University of Florida. Before joining the ACIS team, I worked at the Korea Institute of Science and Technology Information (KISTI) supercomputing center in South Korea as a Network Researcher, where I performed research on grid computing, high performance networking and sensor networking. I received my M.S. degree at the University of Florida in 2012. My research interests include cloud/distributed computing, autonomic computing, and software-defined system.
Currently I'm involved in the PRAGMA-ENT project. My aims in the project are the following: