Anshul Jindal

About

Anshul Jindal is a Ph.D. student at Technical University of Munich supervised by Prof. Gerndt since December 2018. His research interests include cloud computing, specifically focussing on serverless computing for heterogeneous systems, edge computing, and AIOps. He has collaborated on various projects related to EdgeAI and AIOps with the Huawei Munich research center and BMW Munich during his Ph.D. He is working in the direction of building Function Delivery Network, a network of distributed heterogeneous platforms providing Function-Delivery-as-a-Service (FDaaS), delivering the function to the right target platform based on the required computational and data demand.

From 2014 to 2016, he worked at Samsung Semiconductors, Bengaluru, India, as a Senior Software Engineer. There, he worked on the development of firmware for NVMe-based PCIe SSDs.

Employment

• Technical University of Munich Researcher
  2018 - Present
• Technical University of Munich Student Assistant
  2017 - 2018
• Samsung R&D Institute India - Bangalore Senior Software Engineer
  2014 - 2016

Education

• Technical University of Munich Ph.D.
  2018 - 2023
• Technical University Munich M.Sc.
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• IAD: Indirect Anomalous VMMs Detection in the Cloud-Based Environment
  2022 DOI: 10.1007/978-3-031-14135-5_15
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• MAFF: Self-adaptive Memory Optimization for Serverless Functions
  2022 DOI: 10.1007/978-3-031-04718-3_9
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• Scalable Infrastructure for Workload Characterization of Cluster Traces
  arXiv 2022 DOI: 10.48550/arXiv.2205.11582
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• TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3144078
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• Estimating the Capacities of Function-as-a-Service Functions
  arXiv 2022
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• Poster: Function delivery network: Extending serverless to heterogeneous computing
  Proceedings - International Conference on Distributed Computing Systems 2021 DOI: 10.1109/ICDCS51616.2021.00120
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• The ifs and buts of the development approaches for IoT applications
  arXiv 2021
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• Online memory leak detection in the cloud-based infrastructures
  arXiv 2021
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• Memory leak detection algorithms in the cloud-based infrastructure
  arXiv 2021
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• IAD: Indirect anomalous VMMs detection in the cloud-based environment
  arXiv 2021
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