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Zhuangwei Kang
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2020 – today
- 2024
- [j2]Ziran Min
, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale:
Enhancing 5G network slicing for IoT traffic with a novel clustering framework. Pervasive Mob. Comput. 104: 101974 (2024) - [c12]Zhuangwei Kang, Ziran Min
Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. COMSNETS 2024: 361-369 - [c11]Ziran Min
A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management. COMSNETS 2024: 497-505 - 2023
- [c10]Zhuangwei Kang
Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. ISORC 2023: 107-116 - [c9]Ziran Min
Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0. ISORC 2023: 220-223 - [c8]Ziran Min
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications. SMARTCOMP 2023: 133-140 - [i4]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 abs/2302.09146 (2023) - 2022
- [c7]Zhuangwei Kang
Traffic Anomaly Detection Via Conditional Normalizing Flow. ITSC 2022: 2563-2570 - [i3]Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey:
Generative Anomaly Detection for Time Series Datasets. CoRR abs/2206.14597 (2022) - 2021
- [j1]Yogesh D. Barve, Himanshu Neema
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. J. Syst. Archit. 118: 102189 (2021) - [c6]Zhuangwei Kang
A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications. IC2E 2021: 31-42 - [c5]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: 273-274 - 2020
- [c4]Yogesh D. Barve
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. ISORC 2020: 184-191
2010 – 2019
- 2019
- [c3]Anirban Bhattacharjee
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. IEEE BigData 2019: 1607-1612 - [c2]Anirban Bhattacharjee
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. IC2E 2019: 23-33 - [c1]Yogesh D. Barve
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. IC2E 2019: 211-221 - [i2]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 abs/1904.01576 (2019) - [i1]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 abs/1904.05833 (2019)
Coauthor Index
aka: Aniruddha Gokhale
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