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In Kee Kim
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Cited by
Year
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling
IK Kim, W Wang, Y Qi, M Humphrey
9th IEEE International Conference on Cloud Computing, 2016
462016
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management
IK Kim, W Wang, Y Qi, M Humphrey
IEEE Transactions on Cloud Computing 10 (3), 1848-1863, 2020
392020
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads
IK Kim, W Wang, Y Qi, M Humphrey
2018 IEEE International Conference on Cloud Computing, 2018
382018
Toward optimal resource provisioning for cloud mapreduce and hybrid cloud applications
A Ruiz-Alvarez, IK Kim, M Humphrey
2015 8th IEEE International Conference on Cloud Computing, 669-677, 2015
252015
PICS: A Public IaaS Cloud Simulator
IK Kim, W Wang, M Humphrey
8th IEEE International Conference on Cloud Computing, 2015
252015
Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds
IK Kim, J Steele, Y Qi, M Humphrey
UCC'14: 7th IEEE/ACM International Conference on Utility and Cloud Computing,, 2014
232014
A supervised learning model for identifying inactive VMs in private cloud data centers
IK Kim, S Zeng, C Young, J Hwang, M Humphrey
Proceedings of the Industrial Track of the 17th International Middleware …, 2016
212016
iCSI: A cloud garbage VM collector for addressing inactive VMs with machine learning
IK Kim, S Zeng, C Young, J Hwang, M Humphrey
2017 IEEE International Conference on Cloud Engineering (IC2E), 17-28, 2017
152017
An Empirical Analysis of VM Startup Times in Public IaaS Clouds
J Hao, T Jiang, W Wang, IK Kim
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 398-403, 2021
142021
A self-optimized generic workload prediction framework for cloud computing
VK Jayakumar, J Lee, IK Kim, W Wang
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
142020
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury
L Xian, SD Vickers, AL Giordano, J Lee, IK Kim, L Ramaswamy
2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019
112019
In Kee Kim
IK Kim, J Steele, Y Qi, M Humphrey
102015
Wasserstein Adversarial Transformer for Cloud Workload Prediction
S Arbat, VK Jayakumar, J Lee, W Wang, IK Kim
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
92022
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
P Subedi, J Hao, IK Kim, L Ramaswamy
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 31-42, 2021
92021
Edgefaasbench: Benchmarking edge devices using serverless computing
KR Rajput, CD Kulkarni, B Cho, W Wang, IK Kim
2022 IEEE International Conference on Edge Computing and Communications …, 2022
72022
CloudDRN: a Lightweight, end-to-end system for sharing distributed research data in the cloud
M Humphrey, J Steele, IK Kim, MG Kahn, J Bondy, M Ames
2013 IEEE 9th International Conference on e-Science, 254-261, 2013
72013
Adaptive distance filter-based traffic reduction for mobile grid
IK Kim, SH Jang, JS Lee
27th International Conference on Distributed Computing Systems Workshops …, 2007
72007
Nonsuicidal self-injury on instagram: examining hashtag trends
AL Giordano, LA Lundeen, KL Wester, J Lee, S Vickers, MK Schmit, ...
International Journal for the Advancement of Counselling, 1-16, 2022
52022
An empirical analysis of VM startup times in public iaas clouds: An extended report
J Hao, T Jiang, W Wang, IK Kim
arXiv preprint arXiv:2107.03467, 2021
52021
ChatterHub: Privacy invasion via smart home hub
O Setayeshfar, K Subramani, X Yuan, R Dey, D Hong, KH Lee, IK Kim
2021 IEEE International Conference on Smart Computing (SMARTCOMP), 181-188, 2021
42021
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