In Kee Kim

Orcid: 0000-0003-1330-7784

According to our database1, In Kee Kim authored at least 35 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Near-Edge Computing Aware Object Detection: A Review.
IEEE Access, 2024

2023
Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy.
ACM Trans. Internet Techn., 2023

A Study of Java Microbenchmark Tail Latencies.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands.
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management.
IEEE Trans. Cloud Comput., 2022

Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms.
IEEE Trans. Cloud Comput., 2022

Privacy invasion via smart-home hub in personal area networks.
Pervasive Mob. Comput., 2022

CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

Wasserstein Adversarial Transformer for Cloud Workload Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report.
CoRR, 2021

ChatterHub: Privacy Invasion via Smart Home Hub.
Proceedings of the IEEE International Conference on Smart Computing, 2021

Performance Testing for Cloud Computing with Dependent Data Bootstrapping.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

An Empirical Analysis of VM Startup Times in Public IaaS Clouds.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

2016
A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers.
Proceedings of the Industrial Track of the 17th International Middleware Conference, 2016

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
WDCloud: An end to end system for large-scale watershed delineation on cloud.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

PICS: A Public IaaS Cloud Simulator.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

2013
CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2007
Adaptive and Mobility-predictive Quantization-based Communication Data Management for High Performance Distributed Computing.
Simul., 2007

QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs.
Proceedings of the Frontiers of High Performance Computing and Networking ISPA 2007 Workshops, 2007

Adaptive Distance Filter-based Traffic Reduction for Mobile Grid.
Proceedings of the 27th International Conference on Distributed Computing Systems Workshops (ICDCS 2007 Workshops), 2007

Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid.
Proceedings of the Future Generation Communication and Networking, 2007

2006
Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment.
Proceedings of the Computational Science and Its Applications, 2006

Adaptive Quantization-based Communication Data Management for High-Performance Geo-computation in Grid Computing.
Proceedings of the Grid and Cooperative Computing Workshops, 2006


  Loading...