Anshul_Jindal_photo

Anshul Jindal 

M.Sc. in Informatics 

Email: anshul.jindal[at]tum.de

Room: -

 LinkedIn, GitHub 

 

Research Interests

  • Cloud Computing
  • Performance Modeling of Microservices
  • Autoscaling (Kubernetes HPA, AWS Autoscaling)

 

Education

 

Publications and Patents

  • [ 2018 ] Vladimir Podolskiy, Anshul Jindal and Michael Gerndt. IaaS Reactive Autoscaling Performance Challenges. The 2018 IEEE International Conference on Cloud Computing (CLOUD 2018). 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, 91-92. Link
  • [ 2018, Patent ] V Singh, A Jindal, SP Bondarde, A Ravichandran - US Patent App. 15/647,662, 2018, System and method of orchestrating execution of commands in a non-volatile memory express (nvme) device. 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. pp. 24-31. DOI 10.1109/SC2.2017.12. Link

 

Work Experience

  • [ March 2016 - November 2016 ] Hiwi 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

  • [ WiSe 2018/19 ] Lecture Cloud Computing (IN2073) (Student Tutor for the Exercises)
  • [ WiSe 2017/18 ] Lecture Cloud Computing (IN2073) (Student Tutor for the Exercises)