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. 

Education

 

Publications

Conferences

  • [2021, Accepted] 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), 2021.
  • [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

Journals

  • [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

Workshops

  • [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

Posters

  • [ 2021, Accepted] 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.
  • [ 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

  • [ 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).

 

Teaching