Zhuangwei Kang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Network Traffic

Distributed Object

Anomaly Detection

Top Venues

Publications

Ziran Min, Ziteng Liu, Zhuangwei Kang, Shuang Zhou, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Aniruddha Gokhale
A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management. COMSNETS (2024)
Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale
Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. COMSNETS (2024)
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning. CoRR (2023)
Ziran Min, Shuang Zhou, Zhuangwei Kang, Shashank Shekhar, Charif Mahmoudi, Aniruddha S. Gokhale, Aniruddha Gokhale
Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0. ISORC (2023)
Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale
Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. ISORC (2023)
Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications. SMARTCOMP (2023)
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey
Traffic Anomaly Detection Via Conditional Normalizing Flow. ITSC (2022)
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey
Generative Anomaly Detection for Time Series Datasets. CoRR (2022)
Zhuangwei Kang, Kyoungho An, Aniruddha Gokhale, Paul Pazandak
A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications. IC2E (2021)
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract. IoTDI (2021)
Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Harsh Vardhan, Hongyang Sun, Aniruddha Gokhale
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. J. Syst. Archit. 118 (2021)
Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Thomas Roth
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. ISORC (2020)
Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. IEEE BigData (2019)
Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. CoRR (2019)
Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. IC2E (2019)
Yogesh D. Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. IC2E (2019)
Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. CoRR (2019)