| 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 | 54 | 2020 |
| 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 | 49 | 2016 |
| 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 | 40 | 2018 |
| 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 | 26 | 2015 |
| PICS: A Public IaaS Cloud Simulator IK Kim, W Wang, M Humphrey 8th IEEE International Conference on Cloud Computing, 2015 | 25 | 2015 |
| 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 | 24 | 2014 |
| 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 | 20 | 2016 |
| 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 | 19 | 2020 |
| 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 | 18 | 2017 |
| 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 | 16 | 2022 |
| 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 | 15 | 2021 |
| 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 | 13 | 2022 |
| 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 | 11 | 2021 |
| #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 | 11 | 2019 |
| In Kee Kim IK Kim, J Steele, Y Qi, M Humphrey | 8 | 2015 |
| Reaching for the sky: Maximizing deep learning inference throughput on edge devices with ai multi-tenancy J Hao, P Subedi, L Ramaswamy, IK Kim ACM Transactions on Internet Technology 23 (1), 1-33, 2023 | 7 | 2023 |
| 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 | 7 | 2021 |
| Guaranteeing performance slas of cloud applications under resource storms IK Kim, J Hwang, W Wang, M Humphrey IEEE Transactions on Cloud Computing 10 (2), 1329-1343, 2020 | 7 | 2020 |
| 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 | 7 | 2013 |
| Adaptive distance filter-based traffic reduction for mobile grid IK Kim, SH Jang, JS Lee 27th International Conference on Distributed Computing Systems Workshops …, 2007 | 7 | 2007 |
Marty HumphreyAssociate Professor of Computer Science, University of Virginia在 virginia.edu 的电子邮件经过验证
