M.Sc. Anshul Jindal

Technische Universität München Informatik 10

Lehrstuhl für Rechnerarchitektur & Parallele Systeme (Prof. Schulz)

Boltzmannstr. 3 85748

Garching b. München

Email: anshul.jindal[at]tum.de

Room: 01.04.057

LinkedIn, GitHub, Google ScholarPersonal

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, Accepted]  Gor Safaryan, Anshul Jindal, Mohak Chadha, and Michael Gerndt. "SLAM: SLO-Aware Memory Optimization for Serverless Applications " 2022 IEEE International Conference on Cloud Computing (IEEE Cloud), 2022
  • [2022, Accepted]  Christopher Smith, Anshul Jindal, Mohak Chadha, and Michael Gerndt. "FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters " 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC), 2022
  • [2022] Thomas van Loo, Anshul Jindal, Mohak Chadha, and Michael Gerndt. "Scalable Infrastructure for Workload Characterization of Cluster Traces".  In Proceedings of the 12th International Conference on Cloud Computing and Services Science (CLOSER 2022), ISBN 978-989-758-570-8, ISSN 2184-5042, pages 254-263. Link
  • [2022]  Tetiana Zubko, Anshul Jindal, Mohak Chadha, and Michael Gerndt. "MAFF: Self-Adaptive Memory Optimization for Serverless Functions".  In: 9th European Conference On Service-Oriented And Cloud Computing. ESOCC 2022. Link
  • [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, Ilya Shakhat, 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] 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. Link
  • [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 Center. 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).




Supervised Students

Title GR/BA/MA Name Status Link
Framework for Performance Regression Evaluation of Serverless Applications MA Mohammed, Hady Expected, July 2022  
Orchestrating Serverless Functions on Edge-Cloud Infrastructure based on KubeEdge BA Eisner, Max Completed, April 2022 Thesis
Economics of Serverless Computing: An empirical study for analyzing the incurred cost in serverless computing GR Ekaputra, Joshua Completed, April 2022  
Comparison of Anomaly Detection Frameworks for Time-Series data from Car Monitoring MA Stapfner, Marko Completed, Mar 2022 Thesis

Data-Aware function scheduling on a multi-serverless platform


Smith, Christopher Peter 

Completed, Jan 2022 Thesis

Secure Anomaly Detection on Serverless Edge Computing


Hakobyan Astghik 

Completed, Jan 2022 Thesis
Modeling function invocations in FaaS via temporal point processes MA

Steinbach, Markus 

Completed, Nov 2021 Thesis, Paper
Extending Serverless Computing for Heterogeneous Edge Devices MA Pagliuca, Riccardo Completed, Nov 2021 Thesis

Self-adaptive memory allocation for FaaS functions 


Zubko, Tetiana 

Completed, Oct 2021 ThesisPaper
Defining SLOs for FaaS functions in serverless computing MA Safaryan, Gor Completed, Sep 2021 Thesis
Communication-Efficient edge inference over LoRa Network MA Parala, Gurudeep Completed, Sep 2021  
An Empirical Study of Containerized CI/CD pipelines for OpenWhisk Serverless applications MA Kumar, Raj Completed, June 2021 Thesis
AI on the Edge BA Baller, Stephan Completed, April 2021 ThesisPaper
Computation Aware Functions Placement in Heterogeneous FaaS Platforms MA

Frielinghaus, Julian 

Completed, Jan 2021 Thesis
Self-Adaptive Data Management for Heterogeneous FaaS Platforms MA Possani, Lucas Completed,  Dec 2020 Thesis
Performance Modeling of Application Functions on Heterogeneous FaaS Platforms MA Chidambaram, Muthuraman Completed,  Dec 2020  
Scalable Workload Characterization for the Google Cluster Dataset BA Loo van, Thomas Completed,  Dec 2020 Paper
Methodology to Migrate Enterprise-based Monolithic Application to Microservices Architecture MA Chen-Fu, Fan Completed, Nov 2019 Paper
Resource management evaluation of container runtimes BA Lennart Espe Completed, Jul 2019 Thesis, Paper
Priority based Container Resource Management for Microservice Applications in the Cloud BA Marko Stapfner Completed, Jul 2019