Zhuangwei Kang

According to our database, Zhuangwei Kang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing 5G network slicing for IoT traffic with a novel clustering framework.

Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale

Pervasive Mob. Comput., 2024

A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management.

Ziran Min, Ziteng Liu, Zhuangwei Kang, Shuang Zhou, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Aniruddha Gokhale

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems.

Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023

DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning.

Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale

CoRR, 2023

A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications.

Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0.

Ziran Min, Shuang Zhou, Zhuangwei Kang, Shashank Shekhar, Charif Mahmoudi, Aniruddha S. Gokhale, Aniruddha Gokhale

Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads.

Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

2022

Generative Anomaly Detection for Time Series Datasets.

Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey

CoRR, 2022

Traffic Anomaly Detection Via Conditional Normalizing Flow.

Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.

Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Harsh Vardhan, Hongyang Sun, Aniruddha Gokhale

J. Syst. Archit., 2021

Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract.

Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications.

Zhuangwei Kang, Kyoungho An, Aniruddha Gokhale, Paul Pazandak

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

2020

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.

Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Thomas Roth

Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

2019

BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services.

Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.

Yogesh D. Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications.

Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019