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2020 – today
- 2024
[j6]Arief Setyanto
, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, In Kee Kim:
Near-Edge Computing Aware Object Detection: A Review. IEEE Access 12: 2989-3011 (2024)- [c29]Rakandhiya D. Rachmanto, Zaki Sukma, Ahmad N. L. Nabhaan, Arief Setyanto, Ting Jiang, In Kee Kim:
Characterizing Deep Learning Model Compression with Post-Training Quantization on Accelerated Edge Devices. EDGE 2024: 110-120 - 2023
- [j5]Jianwei Hao, Piyush Subedi, Lakshmish Ramaswamy, In Kee Kim:
Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy. ACM Trans. Internet Techn. 23(1): 2:1-2:33 (2023) - [c28]Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman:
CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. BIBE 2023: 22-27 - [c27]Jianwei Hao, Rajneesh Sharma, Mary B. Fleming, In Kee Kim, Deepak R. Mishra, S. Sonny Kim, Lori A. Sutter, Lakshmish Ramaswamy:
Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands. CIC 2023: 52-61 - [c26]Sen He, In Kee Kim, Wei Wang:
A Study of Java Microbenchmark Tail Latencies. ICPE (Companion) 2023: 77-81 - 2022
- [j4]Omid Setayeshfar, Karthika Subramani, Xingzi Yuan, Raunak Dey, Dezhi Hong, In Kee Kim, Kyu Hyung Lee:
Privacy invasion via smart-home hub in personal area networks. Pervasive Mob. Comput. 85: 101675 (2022) - [j3]In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey:
Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms. IEEE Trans. Cloud Comput. 10(2): 1329-1343 (2022) - [j2]In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey:
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management. IEEE Trans. Cloud Comput. 10(3): 1848-1863 (2022) - [c25]Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim:
Wasserstein Adversarial Transformer for Cloud Workload Prediction. AAAI 2022: 12433-12439 - [c24]Kaustubh Rajendra Rajput, Chinmay Dilip Kulkarni, Byungjin Cho, Wei Wang, In Kee Kim:
EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing. EDGE 2022: 93-103 - [c23]Vinodh Kumaran Jayakumar, Shivani Arbat, In Kee Kim, Wei Wang:
CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing. IC2E 2022: 188-198 - [i3]Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim:
Wasserstein Adversarial Transformer for Cloud Workload Prediction. CoRR abs/2203.06501 (2022) - 2021
- [c22]Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. CLOUD 2021: 31-42 - [c21]Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim:
An Empirical Analysis of VM Startup Times in Public IaaS Clouds. CLOUD 2021: 398-403 - [c20]Jianwei Hao, Piyush Subedi, In Kee Kim, Lakshmish Ramaswamy:
Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences. SNTA@HPDC 2021: 21-24 - [c19]Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang:
Performance Testing for Cloud Computing with Dependent Data Bootstrapping. ASE 2021: 666-678 - [c18]Omid Setayeshfar, Karthika Subramani, Xingzi Yuan, Raunak Dey, Dezhi Hong, Kyu Hyung Lee, In Kee Kim:
ChatterHub: Privacy Invasion via Smart Home Hub. SMARTCOMP 2021: 181-188 - [i2]Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim:
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report. CoRR abs/2107.03467 (2021) - [i1]Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. CoRR abs/2107.12486 (2021) - 2020
- [c17]Vinodh Kumaran Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang:
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing. IPDPS 2020: 779-788
2010 – 2019
- 2019
- [c16]Lei Xian, Samuel Dakota Vickers, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy:
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury. CogMI 2019: 61-70 - 2018
- [c15]In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey:
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads. IEEE CLOUD 2018: 41-48 - [c14]In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey:
Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms. ISPDC 2018: 53-60 - 2017
- [c13]In Kee Kim, Sai Zeng, Christopher C. Young, Jinho Hwang, Marty Humphrey:
iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning. IC2E 2017: 17-28 - 2016
- [c12]In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey:
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling. CLOUD 2016: 1-10 - [c11]In Kee Kim, Sai Zeng, Christopher C. Young, Jinho Hwang, Marty Humphrey:
A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers. Middleware Industry 2016: 2 - 2015
- [c10]In Kee Kim, Wei Wang, Marty Humphrey:
PICS: A Public IaaS Cloud Simulator. CLOUD 2015: 211-220 - [c9]Arkaitz Ruiz-Alvarez, In Kee Kim, Marty Humphrey:
Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications. CLOUD 2015: 669-677 - [c8]In Kee Kim, Jacob Steele, Anthony M. Castronova, Jonathan L. Goodall, Marty Humphrey:
WDCloud: An end to end system for large-scale watershed delineation on cloud. IEEE BigData 2015: 1995-2004 - 2014
- [c7]In Kee Kim, Jacob Steele, Yanjun Qi, Marty Humphrey:
Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds. UCC 2014: 355-362 - 2013
- [c6]Marty Humphrey, Jacob Steele, In Kee Kim, Michael G. Kahn, Jessica Bondy, Michael Ames:
CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud. e-Science 2013: 254-261
2000 – 2009
- 2007
- [j1]In Kee Kim, Sung-Ho Jang, Jong Sik Lee:
Adaptive and Mobility-predictive Quantization-based Communication Data Management for High Performance Distributed Computing. Simul. 83(7): 529-547 (2007) - [c5]Sung-Ho Jang, In Kee Kim, Jong Sik Lee:
Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid. FGCN (1) 2007: 307-312 - [c4]In Kee Kim, Sung-Ho Jang, Jong Sik Lee:
Adaptive Distance Filter-based Traffic Reduction for Mobile Grid. ICDCS Workshops 2007: 8 - [c3]In Kee Kim, Sung-Ho Jang, Jong Sik Lee:
QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs. ISPA Workshops 2007: 69-76 - 2006
- [c2]In Kee Kim, Yong Beom Ma, Jong Sik Lee:
Adaptive Quantization-based Communication Data Management for High-Performance Geo-computation in Grid Computing. GCC Workshops 2006: 470-476 - [c1]In Kee Kim, Jong Sik Lee:
Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment. ICCSA (5) 2006: 1-9
Coauthor Index
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