M.Sc. Anshul Jindal 

Technische Universität München Informatik 10

Lehrstuhl für Rechnerarchitektur & Parallele Systeme (Prof. Schulz)

Boltzmannstr. 3 85748

Garching b. München

Room: 01.04.057

Research Interests

  • Resource management of Containers.
  • Performance Modeling of Microservices.
  • Autoscaling (Kubernetes HPA, AWS Autoscaling).
  • Anomalies detection, root cause analysis and predictive maintenance for Cloud Infrastructure. 
  • Functions scheduling on hetrogenous platforms in a FaaS cluster. 





  • [2022]  Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, and Michael Gerndt. "FedLess: Secure and Scalable Federated Learning using Serverless Computing". In IEEE Conference on BigData (BigData'21), 2021. Link
  • [2021] Anshul Jindal, Julian Frielinghaus, Mohak Chadha and Michael Gerndt. "Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments". In IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC'21), 2021Link
  • [2021] Stephan Patrick Baller, Anshul Jindal, Mohak Chadha and Michael Gerndt. "DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices". In 2021 IEEE International Conference on Cloud Engineering (IC2E), 2021Link
  • [2021] Jindal A., Gerndt M. (2021) From DevOps to NoOps: Is It Worth It?. In: Ferguson D., Pahl C., Helfert M. (eds) Cloud Computing and Services Science. CLOSER 2020. Communications in Computer and Information Science, vol 1399. Springer, Cham. Link
  • [ 2020 ] Fan, C.; Jindal, A. and Gerndt, M. (2020). Microservices vs Serverless: A Performance Comparison on a Cloud-native Web Application. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER Link
  • [ 2020 ] Espe, L.; Jindal, A.; Podolskiy, V. and Gerndt, M. (2020). Performance Evaluation of Container Runtimes. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER Link
  • [ 2020 ] A. Jindal, B. Strahm, V. Podolskiy and M. Gerndt, "Windsurfing with APPA: Automating Computational Fluid Dynamics Simulations of Wind Flow using Cloud Computing," 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Västerås, Sweden, 2020 Link
  • [ 2020 ] A. Jindal, M. Gerndt, M. Bauch and H. Haddouti, "Scalable Infrastructure and Workflow for Anomaly Detection in an Automotive Industry," 2020 International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2020. Link
  • [ 2019 ] A. Jindal, V. Podolskiy, M. Gerndt  "Performance Modeling for Cloud Microservice Applications" ICPE '19 Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, Mumbai, India, 2019. Link
  • [ 2019, Patent ] Singh, Vikram, Anshul Jindal, Saurabh Pradeep Bondarde, and Aishwarya Ravichandran. "System and method of orchestrating execution of commands in a non-volatile memory express (NVMe) device." U.S. Patent 10,372,376, issued August 6, 2019. Link
  • [ 2018 ] V. Podolskiy, A. Jindal, M. Gerndt and Y. Oleynik, "Forecasting Models for Self-Adaptive Cloud Applications: A Comparative Study," 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Trento, Italy, 2018 Link
  • [ 2018 ] Vladimir Podolskiy, Anshul Jindal and Michael Gerndt. "IaaS Reactive Autoscaling Performance Challenges". The 2018 IEEE International Conference on Cloud Computing (CLOUD 2018). Link
  • [ 2017 ] Anshul Jindal, Vladimir Podolskiy and Michael Gerndt. 2017. "Multilayered Cloud Applications Autoscaling Performance Estimation". In Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing. IEEE. Link


  • [2022] Markus Steinbach, Anshul Jindal, Mohak Chadha, Michael Gerndt, Shajulin Benedict (2022). TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes. IEEE Access 2022; 1-26 Link
  • [2021] Jindal, A, Gerndt, M, Chadha, M, Podolskiy, V, Chen, P. Function delivery network: Extending serverless computing for heterogeneous platforms. Softw Pract Exper. 2021; 1– 28. Link
  • [2019] Podolskiy, Vladimir, Anshul Jindal, and Michael Gerndt. "Multilayered autoscaling performance evaluation: Can virtual machines and containers co-scale?." International journal of applied mathematics and computer science 29, no. 2 (2019).Link


  • [2021, Accepted]  Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt and Vladimir Podolskiy, "IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment". In AIOps workshop, the companion of the 19th International Conference on Service Oriented Computing, ICSOC 20201, Dubai. 
  • [2021, Accepted] Anshul Jindal, Mohak Chadha, Shajulin Benedict and Michael Gerndt. "Estimating the Capacities of Function-as-a-Service Functions". In CloudAM ’21: IEEE/ACM 10th Workshop on Cloud and Edge Computing, and Applications Management, 2021.
  • [2020] Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt and Vladimir Podolskiy, "Online Memory Leak Detection in the Cloud-based Infrastructures". In AIOps workshop, the companion of the 18th International Conference on Service Oriented Computing, ICSOC 2020, Dubai. Link
  • [ 2020 ] Mohak Chadha, Anshul Jindal, and Michael Gerndt. 2020. "Towards Federated Learning Using FaaS Fabric". In Proceedings of the 6th ACM International Workshop on Serverless Computing, WoSC@Middleware 2020. ACM. Link
  • [ 2018 ] Anshul Jindal, Vladimir Podolskiy, and Michael Gerndt. 2018. "Autoscaling Performance Measurement Tool". In Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (ICPE '18). ACM, New York, NY, USA Link


  • [ 2021] Anshul Jindal, Mohak Chadha, Michael Gerndt, Julian Frielinghaus, Vladimir Podolskiy, Pengfei Chen. 2021. "Function Delivery Network: Extending Serverless Computing for Heterogeneous Computing". In Proceedings of the 41st International Conference on Distributed Computing Systems (ICDCS). IEEE. Link
  • [ 2019 ] Vladimir Podolskiy, Anshul Jindal, Yesika Ramirez, Atakan Yenel, Saifeldin Ahmed and Michael Gerndt. SCALENDAR: Predictive Autoscaling Engine for Microservice Applications in Cloud [Poster]. 14th European Conference on Computer Systems (EuroSys 2019). Link

Work Experience

  • [ August 2021 - October 2021 ] Internship at Huawei Munich Research Centre. Involved in research for EdgeAI with focus on splitting and early exiting the DNN models across edge and cloud layers. 
  • [ March 2017 - November 2018 ] Student assistant at the Chair of Computer Architecture & Parallel Systems, TUM
  • [ July 2014 -  August 2016 ] Senior Software Engineer at Samsung R&D Institute, Bangalore India. Involved in the design and development of the firmware for PCIe based NVMe Solid State Drives which includes the development of Reservation and Virtualization feature (SR-IOV) for a multifunction/ multi controller architecture based Solid state drive (Samsung SSD, PM1725).