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Anirban Bhattacharjee

Publications

 

Google Scholar Link: https://scholar.google.com/citations?user=nt-jeioAAAAJ&hl=en

 

Journal Publications

  1. 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.
  2. 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

  1. 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).
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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

  1. 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
  2. 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.
  3. 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.
  4. 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

  1. 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)
  2. 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.
  3. 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.
  4. 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.
  5. 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

  1. Anirban Bhattacharjee. “MDE-based Automated Provisioning and Management of Cloud Applications.” In MODELS (Satellite Events), pp. 480-483. 2017.