Yogesh D. Barve

According to our database, Yogesh D. Barve authored at least 30 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems.

Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

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

A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications.

Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications.

Evan Wang, Yogesh D. Barve, Aniruddha Gokhale, Hongyang Sun

Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads.

Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale

Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

2022

Techniques for Realizing Secure, Resilient and Differentiated 5G Operations.

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

Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022

Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems.

Shreyas Ramakrishna, Baiting Luo, Yogesh D. Barve, Gabor Karsai, Abhishek Dubey

Proceedings of the IEEE International Conference on Assured Autonomy, 2022

Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems.

Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale

Proceedings of the IEEE International Conference on Assured Autonomy, 2022

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services.

Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale

Proceedings of the IEEE International Conference on Cloud Engineering, 2022

Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge.

Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

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, Aniruddha Gokhale

J. Syst. Archit., 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

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.

Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Thomas Roth

Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

2019

CloudCAMP: Automating Cloud Services Deployment and Management.

Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha Gokhale, Takayuki Kuroda

CoRR, 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

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.

Yogesh D. Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs.

Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Aniruddha Gokhale, Yogesh D. Barve, Anirban Bhattacharjee, Xenofon D. Koutsoukos

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

A Model-Driven Approach to Automate the Deployment and Management of Cloud Services.

Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha S. Gokhale, Takayuki Kuroda

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications.

Yogesh D. Barve, Shashank Shekhar, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale

Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum.

Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale

Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 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, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services.

Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha S. Gokhale, Takayuki Kuroda

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications.

Shashank Shekhar, Yogesh D. Barve, Aniruddha S. Gokhale

Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017

Model-driven Automated Deployment of Large-scale CPS Co-simulations in the Cloud.

Yogesh D. Barve, Himanshu Neema, Aniruddha S. Gokhale, Janos Sztipanovits

Proceedings of MODELS 2017 Satellite Event: Workshops (ModComp, 2017

Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud.

Yogesh D. Barve

Proceedings of MODELS 2017 Satellite Event: Workshops (ModComp, 2017

2016

Enabling Software-Defined Networking for Wireless Mesh Networks in smart environments.

Prithviraj Patil, Akram Hakiri, Yogesh D. Barve, Aniruddha S. Gokhale

Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

A Cloud-Based Immersive Learning Environment for Distributed Systems Algorithms.

Yogesh D. Barve, Prithviraj Patil, Aniruddha S. Gokhale

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2010

Integrated Technique for Data Transmission Reliability in Metal Fill Monitoring Using Wireless Sensor Network.

Yogesh D. Barve, Mohamed A. Abdelrahman, Wael A. Deabes

Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010