About

I am an Assistant Professor in the Computer Science at The University of Georgia. I have completed my Ph.D. in Computer Science in 2018 from the University of Virginia under the supervision of Prof. Marty Humphrey.

My current research interests are Cloud Computing, Large-Scale Distributed Systems, and Edge/IoT. More specifically;

For more information, please refer to my CV.

I am always looking for motivated grad and undergrad students with strong background/interest in cloud computing, computer and distributed systems, and IoT. If you are interested in working with me, please email me with your interest or stop by my office. We should talk!


Teaching


Publications

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads
In Kee Kim, Wei Wang, Yanjun Qi and Marty Humphrey
Proceedings of 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018)
[paper] [slide] [link]

Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms
In Kee Kim, Jinho Hwang, Wei Wang, and Marty Humphrey
Proceedings of 2018 IEEE International Symposium on Parallel and Distributed Computing (IEEE ISPDC 2018)
[paper] [slide] [link]

iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning
In Kee Kim, Sai Zeng, Christopher Young, Jinho Hwang and Marty Humphrey
Proceedings of 2017 IEEE International Conference on Cloud Engineering (IC2E 2017)
[paper] [slide] [poster] [link]

A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers
In Kee Kim, Sai Zeng, Christopher Young, Jinho Hwang and Marty Humphrey
Proceedings of 2016 ACM/IFIP/USENIX International Middleware Conference (Middleware 2016)
[paper] [slide] [link]

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling
In Kee Kim, Wei Wang, Yanjun Qi and Marty Humphrey
Proceedings of 2016 IEEE International Conference on Cloud Computing (IEEE CLOUD 2016)
[paper] [slide

WDCloud: An End to End System for Large-Scale Watershed Delineation on Cloud
In Kee Kim, Jacob Steele, Anthony Castronova, Jonathan Goodall and Marty Humphrey
Proceedings of 2015 IEEE International Conference on Big Data (IEEE BigData 2015) Workshop (GeoBigData '15)
[paper] [slide] [link]

PICS: A Public IaaS Cloud Simulator
In Kee Kim, Wei Wang, and Marty Humphrey
Proceedings of 2015 IEEE International Conference on Cloud Computing (IEEE CLOUD 2015)
[paper] [project page] [slide] [link]

Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications
Arkaitz Ruiz-Alvarez, In Kee Kim, and Marty Humphrey
Proceedings of 2015 IEEE International Conference on Cloud Computing (IEEE CLOUD 2015)
[link]

Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds
In Kee Kim, Jacob Steele, Yanjun Qi, Marty Humphrey
Proceedings of 2014 IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM UCC 2014)
[paper] [slide] [link]

CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud
Marty Humphrey, Jacob Steele, In Kee Kim, Michael Kahn, Jessica Bondy, Micheal Ames
Proceedings of 2013 IEEE International Conference on e-Science (IEEE eScience 2013)
[link]

Adaptive and Mobility-Predictive Quantization-based Communication Data Management in High-Performance Distributed Computing
In Kee Kim, Sung Ho Jang and Jong Sik Lee
Simulation: Transactions of The Society for Modeling and Simulation International Vol. 83, No. 7 2007
[paper] [link]

Adaptive Distance Filter-based Traffic Reduction for Mobile Grid
In Kee Kim, Sung Ho Jang and Jong Sik Lee
Proceedings of 27th International Conference on Distributed Computing Systems (ICDCS 2007) Workshop
[pdf] [link]

Resource Demand Prediction-based Grid Resource Transaction Network Model in Grid Computing Environment
In Kee Kim and Jong Sik Lee
Proceedings of 6th International Conference on Computational Science and Its Applications (ICCSA 2006)
[link]