Integrated Technique for Data Transmission Reliability in Metal Fill Monitoring Using Wireless Sensor Network. - Yogesh D. Barve; Mohamed A. Abdelrahman; Wael A. Deabes (ITNG, 2010)

A Cloud-Based Immersive Learning Environment for Distributed Systems Algorithms. - Yogesh D. Barve; Prithviraj Patil; Aniruddha S. Gokhale (COMPSAC, 2016)

Enabling Software-Defined Networking for Wireless Mesh Networks in smart environments. - Prithviraj Patil; Akram Hakiri; Yogesh D. Barve; Aniruddha S. Gokhale (NCA, 2016)

Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud. - Yogesh D. Barve (MoDELS (Satellite Events), 2017)

Model-driven Automated Deployment of Large-scale CPS Co-simulations in the Cloud. - Yogesh D. Barve; Himanshu Neema; Aniruddha S. Gokhale; Janos Sztipanovits (MoDELS (Satellite Events), 2017)

Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications. - Shashank Shekhar 001; Yogesh D. Barve; Aniruddha S. Gokhale (UCC, 2017)

(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services. - Anirban Bhattacharjee; Yogesh D. Barve; Aniruddha S. Gokhale; Takayuki Kuroda (SCC, 2018)

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. - Shunxing Bao; Prasanna Parvathaneni; Yuankai Huo; Yogesh D. Barve; Andrew J. Plassard; Yuang Yao; Hongyang Sun 001; Ilwoo Lyu; David H. Zald; Bennett A. Landman; Aniruddha S. Gokhale (IEEE BigData, 2018)

FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum. - Yogesh D. Barve; Shashank Shekhar 001; Ajay Dev Chhokra; Shweta Khare; Anirban Bhattacharjee; Aniruddha S. Gokhale (SEC, 2018)

UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications. - Yogesh D. Barve; Shashank Shekhar 001; Shweta Khare; Anirban Bhattacharjee; Aniruddha S. Gokhale (UCC, 2018)

A Model-Driven Approach to Automate the Deployment and Management of Cloud Services. - Anirban Bhattacharjee; Yogesh D. Barve; Aniruddha S. Gokhale; Takayuki Kuroda (UCC Companion, 2018)

PADS: Design and Implementation of a Cloud-Based, Immersive Learning Environment for Distributed Systems Algorithms. - Yogesh D. Barve; Prithviraj Patil; Anirban Bhattacharjee; Aniruddha S. Gokhale (IEEE Trans. Emerg. Top. Comput., 2018)

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)

Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs. - Shweta Khare; Hongyang Sun 001; Julien Gascon-Samson; Kaiwen Zhang 001; Aniruddha Gokhale; Yogesh D. Barve; Anirban Bhattacharjee; Xenofon D. Koutsoukos (SEC, 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)

Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. - Anirban Bhattacharjee; Yogesh D. Barve; Shweta Khare; Shunxing Bao; Aniruddha Gokhale; Thomas Damiano (OpML, 2019)

CloudCAMP: Automating Cloud Services Deployment and Management. - Anirban Bhattacharjee; Yogesh D. Barve; Aniruddha Gokhale; Takayuki Kuroda (CoRR, 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)

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)

Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (DDDAS, 2022)

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. - Xingyu Zhou 010; Robert Canady; Yi Li; Shunxing Bao; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (IC2E, 2022)

Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (ICAA, 2022)

Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. - Shreyas Ramakrishna; Baiting Luo; Yogesh D. Barve; Gabor Karsai; Abhishek Dubey (ICAA, 2022)

Techniques for Realizing Secure, Resilient and Differentiated 5G Operations. - Akram Hakiri; Aniruddha S. Gokhale; Yogesh D. Barve; Valerio Formicola; Shashank Shekhar 001; Charif Mahmoudi; Mohammad Ashiqur Rahman; Uttam Ghosh; Syed Rafay Hasan; Terry N. Guo (WMNC, 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)

Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications. - Evan Wang; Yogesh D. Barve; Aniruddha Gokhale; Hongyang Sun 001 (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)

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)