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ORCIDAniruddha S. Gokhale
- > Home > Persons > Aniruddha S. Gokhale
Publications
- 2024
[j63]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)- [c203]Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale:
Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. COMSNETS 2024: 361-369 - 2023
- [c199]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: 107-116 - [c198]Evan Wang, Yogesh D. Barve, Aniruddha Gokhale, Hongyang Sun:
Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications. ISORC 2023: 152-157 - [c194]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: 133-140 - [i13]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
- [c192]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: 325-339 - [c191]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: 233-244 - [c190]Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale:
Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. ICAA 2022: 97-106 - [c188]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: 113-117 - 2021
- [j62]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: 102189 (2021) - [c183]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
- [c178]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: 184-191 - 2019
- [c176]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: 1607-1612 - [c174]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: 1-14 - [c172]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: 211-221 - [c168]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 - [i6]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) - [i5]Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha Gokhale, Takayuki Kuroda:
CloudCAMP: Automating Cloud Services Deployment and Management. CoRR abs/1904.02184 (2019) - [i4]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
- [j57]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): 20-31 (2018) - [c165]Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha S. Gokhale, Takayuki Kuroda:
(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services. SCC 2018: 237-240 - [c164]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: 1337-1346 - [c162]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: 331-333 - [c159]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: 1-10 - [c158]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: 109-114 - 2017
- [c147]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 - [c145]Shashank Shekhar, Yogesh D. Barve, Aniruddha S. Gokhale:
Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications. UCC 2017: 187-188 - 2016
- [c143]Yogesh D. Barve, Prithviraj Patil, Aniruddha S. Gokhale:
A Cloud-Based Immersive Learning Environment for Distributed Systems Algorithms. COMPSAC 2016: 754-763 - [c136]Prithviraj Patil, Akram Hakiri, Yogesh D. Barve, Aniruddha S. Gokhale:
Enabling Software-Defined Networking for Wireless Mesh Networks in smart environments. NCA 2016: 153-157
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