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Yogesh D. Barve
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2020 – today
- 2024
- [j3]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) - [c26]Zhuangwei Kang, Ziran Min
Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. COMSNETS 2024: 361-369 - 2023
- [c25]Zhuangwei Kang
Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. ISORC 2023: 107-116 - [c24]Evan Wang, Yogesh D. Barve
Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications. ISORC 2023: 152-157 - [c23]Ziran Min
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications. SMARTCOMP 2023: 133-140 - [i5]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
- [c22]Robert Canady
Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. DDDAS 2022: 325-339 - [c21]Xingyu Zhou, Robert Canady
Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. IC2E 2022: 233-244 - [c20]Robert Canady
Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. ICAA 2022: 97-106 - [c19]Shreyas Ramakrishna
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. ICAA 2022: 107-116 - [c18]Akram Hakiri, Aniruddha S. Gokhale, Yogesh D. Barve
Techniques for Realizing Secure, Resilient and Differentiated 5G Operations. WMNC 2022: 113-117 - [i4]Shreyas Ramakrishna, Baiting Luo, Yogesh D. Barve, Gabor Karsai, Abhishek Dubey:
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. CoRR abs/2202.13510 (2022) - 2021
- [j2]Yogesh D. Barve, Himanshu Neema
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. J. Syst. Archit. 118: 102189 (2021) - [c17]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
- [c16]Yogesh D. Barve
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. ISORC 2020: 184-191
2010 – 2019
- 2019
- [c15]Anirban Bhattacharjee
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. IEEE BigData 2019: 1607-1612 - [c14]Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Aniruddha Gokhale
Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs. SEC 2019: 1-14 - [c13]Yogesh D. Barve
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. IC2E 2019: 211-221 - [c12]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: 59-61 - [i3]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 abs/1904.01727 (2019) - [i2]Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha Gokhale, Takayuki Kuroda:
CloudCAMP: Automating Cloud Services Deployment and Management. CoRR abs/1904.02184 (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) - 2018
- [j1]Yogesh D. Barve
PADS: Design and Implementation of a Cloud-Based, Immersive Learning Environment for Distributed Systems Algorithms. IEEE Trans. Emerg. Top. Comput. 6(1): 20-31 (2018) - [c11]Anirban Bhattacharjee
(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services. SCC 2018: 237-240 - [c10]Shunxing Bao
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData 2018: 1337-1346 - [c9]Yogesh D. Barve
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum. SEC 2018: 331-333 - [c8]Yogesh D. Barve
UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications. UCC 2018: 1-10 - [c7]Anirban Bhattacharjee
A Model-Driven Approach to Automate the Deployment and Management of Cloud Services. UCC Companion 2018: 109-114 - 2017
- [c6]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: 463-464 - [c5]Yogesh D. Barve:
Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud. MoDELS (Satellite Events) 2017: 500-502 - [c4]Shashank Shekhar
Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications. UCC 2017: 187-188 - 2016
- [c3]Yogesh D. Barve
A Cloud-Based Immersive Learning Environment for Distributed Systems Algorithms. COMPSAC 2016: 754-763 - [c2]Prithviraj Patil, Akram Hakiri
Enabling Software-Defined Networking for Wireless Mesh Networks in smart environments. NCA 2016: 153-157 - 2010
- [c1]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: 903-907
Coauthor Index
aka: Aniruddha Gokhale
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