Yogesh D. Barve

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Directed Acyclic Graph

Network Traffic Data

Top Venues

MoDELS (Satellite Events)

Publications

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)
Evan Wang, Yogesh D. Barve, Aniruddha Gokhale, Hongyang Sun
Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications. 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)
Akram Hakiri, Aniruddha S. Gokhale, Yogesh D. Barve, Valerio Formicola, Shashank Shekhar, Charif Mahmoudi, Mohammad Ashiqur Rahman, Uttam Ghosh, Syed Rafay Hasan, Terry N. Guo
Techniques for Realizing Secure, Resilient and Differentiated 5G Operations. WMNC (2022)
Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale
Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. IC2E (2022)
Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale
Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. DDDAS (2022)
Shreyas Ramakrishna, Baiting Luo, Yogesh D. Barve, Gabor Karsai, Abhishek Dubey
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. CoRR (2022)
Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale
Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. ICAA (2022)
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)
Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Aniruddha Gokhale, Yogesh D. Barve, Anirban Bhattacharjee, Xenofon D. Koutsoukos
Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs. SEC (2019)
Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. CoRR (2019)
Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha Gokhale, Takayuki Kuroda
CloudCAMP: Automating Cloud Services Deployment and Management. CoRR (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, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano
Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. OpML (2019)
Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh D. Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData (2018)
Yogesh D. Barve, Shashank Shekhar, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale
UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications. UCC (2018)
Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha S. Gokhale, Takayuki Kuroda
(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services. SCC (2018)
Yogesh D. Barve, Prithviraj Patil, Anirban Bhattacharjee, Aniruddha S. Gokhale
PADS: Design and Implementation of a Cloud-Based, Immersive Learning Environment for Distributed Systems Algorithms. IEEE Trans. Emerg. Top. Comput. 6 (1) (2018)
Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha S. Gokhale, Takayuki Kuroda
A Model-Driven Approach to Automate the Deployment and Management of Cloud Services. UCC Companion (2018)
Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum. SEC (2018)
Yogesh D. Barve
Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud. MoDELS (Satellite Events) (2017)
Shashank Shekhar, Yogesh D. Barve, Aniruddha S. Gokhale
Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications. UCC (2017)
Yogesh D. Barve, Himanshu Neema, Aniruddha S. Gokhale, Janos Sztipanovits
Model-driven Automated Deployment of Large-scale CPS Co-simulations in the Cloud. MoDELS (Satellite Events) (2017)
Yogesh D. Barve, Prithviraj Patil, Aniruddha S. Gokhale
A Cloud-Based Immersive Learning Environment for Distributed Systems Algorithms. COMPSAC (2016)
Prithviraj Patil, Akram Hakiri, Yogesh D. Barve, Aniruddha S. Gokhale
Enabling Software-Defined Networking for Wireless Mesh Networks in smart environments. NCA (2016)
Yogesh D. Barve, Mohamed A. Abdelrahman, Wael A. Deabes
Integrated Technique for Data Transmission Reliability in Metal Fill Monitoring Using Wireless Sensor Network. ITNG (2010)