Vladimir Podolskiy

Ph.D. student at the Technical University of Munich

Areas of research interests: Predictive Cloud Applications Autoscaling, Automatic QoS-based Cloud Applications Management, Cloud Computing, Internet of Things

Graduate of the Bauman Moscow State Technical University (Russia), Dipl.-Eng. (diploma with honors)
DAAD Scholar, Russian Presidential & Government Scholar, Participant of the Software Campus, Certified Data Scientist (Coursera)


My Github: https://github.com/Remit 



Research is conducted with the following financial support:

  • [2016 - 2019, German Academic Exchange Service / DAAD] Research grant - Doctoral Programmes in Germany // Personal Funding
  • [2018 - 2020, German Ministry of Education and Science / BMBF] Project "Artificial Intelligence to Enable the Smart Cloud Operations and Maintenance" in the scope Software Campus // Small Project Funding: 100.000 EUR
  • [2019, University of Waikato - Oceania Researchers in Cloud and Adaptive-systems Lab / ORCA] Academic Visitor Travel Funding for a Short Research Stay at the University of Waikato in February 2019: 2.500 NZD
  • [2018-2019, Instana] Research in the area of automatic data-driven SLA/SLO decomposition // Funding for the student research assistant
  • [2018-2019, Amazon] Research credits to conduct experiments in the AWS Cloud // Research credits: 8.000 USD
  • [2018-2019, Google] Research credits to conduct experiments in the Google Cloud Platform // Research credits: 5.000 USD
  • [2017, BMW] Project "Semi-automatic Decomposition of Cloud Applications with mixed Criticality Requirements for Real-time Scaling in Hybrid Clouds" // Small Project Funding: 30.000 EUR
  • [2017, DFG] Research Stay of Prof. Popov from BMSTU // Short Research Stay Funding: 1.000 EUR

Supervised Students' Projects


For students who want to do the B.Sc./M.Sc. thesis or guided research with the Chair:

In case you want to explore one of the research areas that I have expertise in, you are invited to send me an e-mail with a project proposal, grade report with relevant courses and CV. You have more chances to receive a topic for bachelor/master thesis or guided research, if you have successfully participated in one of the practical courses that I provide (with grade 1.3-1.0). If you haven't participated in the practical courses, you still have a chance, but you will need to demonstrate your skills on a task that is related to the project that you want to work on. Both German and English are fine.

For topics check on my page above or here: https://www.in.tum.de/caps/theses/open/ (I should be marked as a contact person)

Please, note that I don't accept any new students that do the thesis with industry!


  • Anshul Jindal (Guided Research, finished) - Performance Analysis of Autoscaling Methods for Cloud Applications
  • Latifa Mahna (Master Thesis, finished) - Budgeting Constraints Prediction for Cloud Services 
  • Atakan Yenel (Guided Research, finished) - Predictive Autoscaling Scheduling
  • Saifeldin Ahmed (Guided Research, finished) - Dynamic Forecasting Models Tuning For Cloud Services Requests Prediction
  • Victor Aguboshim (Master Thesis, ongoing) - Private Cloud Based on OpenStack and its Evaluation using EPFL CloudSuite
  • Fariz Huseynli (Master Thesis with Siemens, finished) - Real-time Container Clusters for Seamless Computing (aka Fog Computing)
  • Anshul Jindal (Master Thesis, finished) - Performance Model Derivation for Cloud-based Microservice Applications
  • Yesika Ramirez (Master Thesis, finished) - Scaling Policies Derivation for Predictive Autoscaling of Cloud Applications
  • Viktoriia Bakalova (Master Thesis with BMW, finished) - Monitoring and Alerting Framework for Hybrid Cloud Solutions
  • Moawiah Assali (Master Thesis with BMW, finished) - Development of Cloud-based IoT-services for Cooperative Map Modeling with Autonomous Transportation Systems // Co-Advisor - Georgios Pipelidis
  • Walentin Lamonos (Bachelor Thesis, finished) - Autoscaling Rules Evaluation with the Autoscaling Performance Measurement Tool // Advisor - Anshul Jindal
  • Hakan Uyumaz (Master Thesis, finished) - Onthology-based Practical Rule Engine for Internet of Things
  • Helge Dickel (Guided Research, finished) - Evaluation of Autoscaling Strategies for IoT Gateways based upon Long-Running Pub/Sub Connections
  • Peeranut Chindanonda (Guided Research, finished) - Dynamically Scalable Data Processing for IoT Platform
  • Valentin Cervieri (Bachelor Thesis, finished) - Cloud Autoscaling Performance Evaluation with Real-world Like Loads and Threshold Tuning // Advisor - Anshul Jindal
  • Martin Schneider (Master Thesis with BMW, finished) - Development and Prototype Implementation of a Cloud and Edge-based Hybrid Digital Twin
  • Kale Tejas (Master Thesis, ongoing) - Dependable and Modular Command and Data Handling Platform for Small Spacecrafts using MicroPython on RODOS // Co-advised with Dai Yang and Sebastian Rückerl


Invited Talks

  • [ 2018, Lawrence Berkeley National Laboratory, USA ] Self-aware Autonomous Systems for Reliability of Distributed Cloud Applications and Virtual Infrastructure
  • [ 2017, University of Saarland, Germany ] Crossing border between a problem and a computer: Accelerating tasks on networks and graphs using new computer architecture // Talk about new processor and computer architectures implemented in FPGA, hosted by DAAD
  • [ 2017, Moscow State Institute of International Relations, Russia ] Beyound the Cloud: What is Cloud Computing and how does it help to make a digital business? // Talk about the opportunities that cloud computing brings to business, hosted by Assoc. Prof. S. Kamolov
  • [ 2016, Moscow State Institute of International Relations, Russia ] How to catch a pearl in a data ocean? // Talk about the data analytics, hosted by Assoc. Prof. S. Kamolov
  • [ 2016, Bauman Moscow State Technical University, Russia ] How to catch a pearl in a data ocean? // Talk about the data analytics, hosted by Assoc. Prof. A. Popov

Work Experience

  • [ Research & Teaching @ TUM : 2016 - present ] Research Assistant
  • [ IT & Telecommunications & Consulting @ IBS Group : 2015 - 2016 ] Information Systems Architect
  • [ IT & Telecommunications & Consulting @ IBS Group : 2014 - 2015 ] Analyst
  • [ IT & Telecommunications & Consulting @ IBS Group : 2014] Jr. Analyst
  • [ IT & Telecommunications & Consulting @ IBS Group : 2013 - 2014] Intern
  • [ Journalism in Tech & Science @ BMSTU // Newspaper "Baumanets" : 2011 - 2013] Technology and Science Reporter (part-time job)


  • [ 2019 ] SIGSOFT CAPS Travel Grant Award for ICPE 2019 (declined)
  • [ 2017 ] Outstanding Paper Award at IEEE SC2 conference
  • [ 2016 ] DAAD scholarship for accomplishing Ph.D. in Germany
  • [ 2016 ] Scholarship of the President of Russian Federation for Outstanding Results in Research and Studies
  • [ 2014 ] Scholarship of the President of Russian Federation for Outstanding Results in Research and Studies

Key Publications

  • [ 2019, accepted ] 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).
  • [ 2019, accepted ] Anshul Jindal, Vladimir Podolskiy and Michael Gerndt. Performance Modeling for Cloud Microservice Applications. 10th ACM/SPEC International Conference on Performance Engineering (ICPE 2019). 
  • [ 2019, accepted ] Vladimir Podolskiy, Anshul Jindal, Michael Gerndt. Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co-Scale? International Journal of Applied Mathematics and Computer Science (AMCS).
  • [ 2018, conference proceedings ] 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, pp. 40-49. doi: 10.1109/SASO.2018.00015
  • [ 2018, conference proceedings ] V. Podolskiy, A. Jindal and M. Gerndt, "IaaS Reactive Autoscaling Performance Challenges," 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, USA, 2018, pp. 954-957. doi: 10.1109/CLOUD.2018.00144
  • [ 2018, conference proceedings ] Vladimir Podolskiy, Yesika Ramirez, Atakan Yenel, Shumail Mohyuddin, Hakan Uyumaz, Ali Naci Uysal, Moawiah Assali, Sergei Drugalev, Matthias Friessnig, Anastasia Myasnichenko, and Michael Gerndt. "Practical Education in IoT through Collaborative Work on Open-Source Projects with Industry and Entrepreneurial Organizations," 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018, pp. 1-9. doi: 10.1109/FIE.2018.8658377
  • [ 2018, conference proceedings ] 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. DOI: doi.org/10.1145/3185768.3186293
  • [ 2017, conference proceedings ] 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. || OUTSTANDING PAPER AWARD ||
  • [ 2017, conference proceedings ] Vladimir Podolskiy, Hans Michael Gerndt, and Shajulin Benedict. 2017. QoS-based Cloud Application Management: Approach and Architecture. In Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms (Crosscloud'17). ACM, New York, NY, USA, Article 7, 2 pages. DOI: doi.org/10.1145/3069383.3069390.
  • [ 2016, peer-reviewed Journal ] Podolskiy V.E., Popov A. Yu. “Graph Decomposition for Parallel Data Processing on MISD Computer” // Herald of the Bauman Moscow State Technical University: Instrument Engineering, 2016, Issue 01 (106), pp. 112-128 (in Russian).

Reviewing, Participation in Program Comittees

  • [2019, PC member] The 9th International Conference on Performance, Safety and Robustness in Complex Systems and Applications (PESARO 2019)
  • [2018, reviewer] IEEE Journal "Transactions on Services Computing"
  • [2018, sub-reviewer] The 2nd International Conference on Computer Science and Application Engineering (CSAE 2018)
  • [2018, PC member] The 2018 IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2018)
  • [2018, PC member] The 16th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2018)
  • [2018, PC member] The 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN 2018)
  • [2018, reviewer] 2018 IEEE Frontiers in Education Conference (FIE 2018)
  • [2017, sub-reviewer] 29th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2017)
  • [2017, sub-reviewer] Journal of King Saud University - Computer and Information Sciences

Social Activities

  • [ Translation Expertise @ Coursera & Abby : 2015 ] Community Editing Expert for Russian Version of Courses in Data Science
  • [ Civic Projects @ Civic Chamber of Moscow Region : 2014 – 2015 ] Consultant
  • [ Smart City Planning & Public Involvement Projects @ Civic Chamber of Krasnogorskiy Municipality of Moscow Region : 2014 – 2016 ] Member of Civic Chamber
  • [ Ecological Activism & Smart City Planning @ Social Movement "Let's save Krasnogorsk!" : 2013 – 2016 ] Activist, Member of Board