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 (IEEE BigData, 2019)

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. - Yogesh D. Barve; Shashank Shekhar 001; Ajay Chhokra; Shweta Khare; Anirban Bhattacharjee; Zhuangwei Kang; Hongyang Sun 001; Aniruddha Gokhale (IC2E, 2019)

BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. - Anirban Bhattacharjee; Ajay Dev Chhokra; Zhuangwei Kang; Hongyang Sun 001; Aniruddha Gokhale; Gabor Karsai (IC2E, 2019)

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. - Yogesh D. Barve; Himanshu Neema; Zhuangwei Kang; Hongyang Sun 001; Aniruddha Gokhale; Thomas Roth (ISORC, 2020)

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 (IC2E, 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 (IoTDI, 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 001; Aniruddha Gokhale (J. Syst. Archit., 2021)

Traffic Anomaly Detection Via Conditional Normalizing Flow. - Zhuangwei Kang; Ayan Mukhopadhyay; Aniruddha Gokhale; Shi-Jie Wen; Abhishek Dubey (ITSC, 2022)

Generative Anomaly Detection for Time Series Datasets. - Zhuangwei Kang; Ayan Mukhopadhyay; Aniruddha Gokhale; Shi-Jie Wen; Abhishek Dubey (CoRR, 2022)

Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. - Zhuangwei Kang; Ziran Min; Shuang Zhou; Yogesh D. Barve; Aniruddha Gokhale (ISORC, 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 001; Charif Mahmoudi; Aniruddha S. Gokhale; Aniruddha Gokhale (ISORC, 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 001; Charif Mahmoudi; Zhuangwei Kang; Yogesh D. Barve; Aniruddha Gokhale (SMARTCOMP, 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)

Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. - Zhuangwei Kang; Ziran Min; Shuang Zhou; Yogesh D. Barve; Aniruddha Gokhale (COMSNETS, 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 001; Charif Mahmoudi; Aniruddha Gokhale (COMSNETS, 2024)

Enhancing 5G network slicing for IoT traffic with a novel clustering framework. - Ziran Min; Swapna S. Gokhale; Shashank Shekhar 001; Charif Mahmoudi; Zhuangwei Kang; Yogesh D. Barve; Aniruddha Gokhale (Pervasive Mob. Comput., 2024)