Publications
Google Scholar Link: https://scholar.google.com/citations?user=nt-jeioAAAAJ&hl=en
Journal Publications
- Yogesh Barve, Prithviraj Patil, Anirban Bhattacharjee, and Aniruddha Gokhale. “Pads: Design and implementation of a cloud-based, immersive learning environment for distributed systems algorithms.” IEEE Transactions on Emerging Topics in Computing 6, no. 1 (2018): 20-31.
- Goncalo Martins, Arul Moondra, Abhishek Dubey, Anirban Bhattacharjee, and Xenofon Koutsoukos. “Computation and communication evaluation of an authentication mechanism for time-triggered networked control systems.” Sensors 16, no. 8 (2016): 1166.
Conference Publications
- Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, and Thomas Damiano. “STRATUM: A Holistic and Intelligent Lifecycle Management Framework for Cloud-Edge-based IoT Analytics Applications” (under review).
- Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun and Aniruddha Gokhale, “BARISTA: Efficient and Scalable Deep Learning Prediction Serving using Serverless Computing.” IEEE International Conference on Cloud Engineering (IC2E), Jun. 2019, p. 10.
- Yogesh Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun and Aniruddha Gokhale, “FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.” IEEE International Conference on Cloud Engineering (IC2E), Jun. 2019, p. 10.
- Yogesh Barve, Shashank Shekhar, Shweta Khare, Anirban Bhattacharjee, and Aniruddha Gokhale. “UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications.” In 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC), pp. 1-10. IEEE, 2018.
- Anirban Bhattacharjee, Yogesh Barve, Aniruddha Gokhale, and Takayuki Kuroda. “A Model-Driven Approach to Automate the Deployment and Management of Cloud Services.” In 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), pp. 109-114. IEEE, 2018.
- Shashank Shekhar, Ajay Dev Chhokra, Anirban Bhattacharjee, Guillaume Aupy, and Aniruddha Gokhale. “INDICES: exploiting edge resources for performance-aware cloud-hosted services.” In 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC), pp. 75-80. IEEE, 2017.
- Goncalo Martins, Anirban Bhattacharjee, Abhishek Dubey, and Xenofon D. Koutsoukos. “Performance evaluation of an authentication mechanism in time-triggered networked control systems.” In 2014 7th International Symposium on Resilient Control Systems (ISRCS), pp. 1-6. IEEE, 2014.
Short Papers, Workshops, and Posters
- Anirban Bhattacharjee, Barve, Yogesh, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, and Thomas Damiano. “Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks.” in To Appear in the 2019 USENIX Conference on Operational Machine Learning (OpML 19), USENIX, 2019
- Anirban Bhattacharjee, Yogesh Barve, Aniruddha Gokhale, and Takayuki Kuroda. “(WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services.” In 2018 IEEE International Conference on Services Computing (SCC), pp. 237-240. IEEE, 2018.
- Yogesh Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, and Aniruddha Gokhale. “Poster: Fecbench: An extensible framework for pinpointing sources of performance interference in the cloud-edge resource spectrum.” In Proceedings of the Third ACM/IEEE Symposium on Edge Computing. 2018.
- Yogesh Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, and Aniruddha Gokhale, “Demo Paper: FECBench A Framework for Measuring and Analyzing Performance Interference Effects for Latency-Sensitive Applications”, RTSS Works Demo Session of the 39th IEEE Realtime Systems Symposium (RTSS), Dec 1114, 2018, pp. 2.
Tutorials and Talks
- Aniruddha Gokhale, Yogesh Barve, Anirban Bhattacharjee, and Shweta Khare, “Software – defined and Programmable CPS/IoT-OS: Architecting the Next Generation of CPS/IoT Operating Systems”, in To Appear in the 1st International Workshop on Next-Generation Operating Systems for Cyber-Physical Systems (NGOSCPS 2019 Position Papers)
- Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, and Aniruddha Gokhale, “Investigating Dynamic Resource Management Solutions for Cloud Infrastructures using Chameleon Cloud,” 2nd Chameleon Users Meeting, Feb 2019, pp. 2.
- Aniruddha Gokhale, Yogesh Barve, Anirban Bhattacharjee, and Travis Brummett, “Experiences using Chameleon in a Cloud Computing Course,” 2nd Chameleon Users Meeting, Feb 2019, pp. 2.
- Shashank Shekhar, Yogesh Barve, Shweta Khare, Anirban Bhattacharjee, and Aniruddha Gokhale, “FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in Cloud-to-Edge hosted Applications,” Tutorial at IEEE International Conference on Cloud Engineering (IC2E), Apr 2018, pp. 1.
- Yogesh Barve, Anirban Bhattacharjee, and Aniruddha Gokhale, “PADS A Model Driven Engineering Framework for Learning Distributed Systems Algorithms,” Tutorial at the ACM/IEEE 20th International Conference on Model-driven Engineering Languages and Systems (MODELS), Sept 1722, 2017, pp. 2.
Doctoral Symposium
- Anirban Bhattacharjee. “MDE-based Automated Provisioning and Management of Cloud Applications.” In MODELS (Satellite Events), pp. 480-483. 2017.