Vladimir Podolskiy

Vladimir Podolskiy Photo

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.-Ing. (diploma with honors)
DAAD Scholar, Russian Presidential & Government Scholar, Certified Data scientist

Contacts:

Own Projects

Supervised Students' Projects

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 and CV (if any). You have more chances to receive a topic for master thesis or guided research, if you have successfully participated in one of my practical courses. Both German and English are fine.

Please, note: in SoSe-2018 my capacity is full, so please either refer to my colleagues from I10/from other chairs or plan the thesis work/guided research for the next semester.

Students:

  • 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, ongoing) - Predictive Autoscaling Scheduling
  • Saifeldin Ahmed (Guided Research, ongoing) - 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, ongoing) - Real-time Container Clusters for Seamless Computing (aka Fog Computing)

Teaching

  • [ TUM : 2018 SS ] Master Practicum "Internet of Things" (IN2106, IN4224) with Prof. M. Gerndt
  • [ TUM : 2017/2018 WS ] Master Practicum "Internet of Things" (IN2106) with Prof. M. Gerndt 
  • [ MGIMO : 2017/2018 WS ] Guest Lecture "Beyound the Cloud: What is Cloud Computing and how does it help to make a digital business?" with Assoc. Prof. S. Kamolov
  • [ TUM : 2016/2017 WS ] Master Practicum "Cloud Computing" (IN2106) with Prof. S. Benedict
  • [ BMSTU : 2015/2016 WS ] Substitute Lecture "How to catch a pearl in a data ocean?" with Assoc. Prof. A. Popov
  • [ MGIMO : 2015/2016 WS ] Guest Lecture "How to catch a pearl in a data ocean?" with Assoc. Prof. S. Kamolov
  • [ BMSTU : 2014 SS ] Practicum for Tutors "E-learning System Moodle" with 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 "Baumanec" : 2011 - 2013] Technology and Science Reporter (part-time job)

Key Publications

  • [ 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).
  • [ 2015, peer-reviewed Journal ] V.E. Podol'skii, A.V. Samochadin, S.S. Koloskov. Hardware Acceleration of SQL-Queries Processing in MDM-Systems Based on MISD Solution // Science and Education of the Bauman MSTU, 2015, no. 12, pp. 165–196. (in Russian).
  • [ 2015, peer-reviewed Journal ] Podol'skii V.E. “On the Organization of Parallel Operation of Some Algorithms for Finding the Shortest Path on a Graph on a Computer System with Multiple Instruction Stream and Single Data Stream” // Science and Education of the Bauman MSTU, 2015, Issue 04, pp. 189–214. (in Russian).
  • [ 2015, peer-reviewed Journal, SCOPUS ] N.V. Patrikeeva, V.N. Babeshko, E.A. Kamenev, V.E. Podolskiy A Novel Graph Decomposition Approach to the Automatic Processing of Poorly Formalized Data: Innovative Ideas – A Management Case Study // European Research Studies Journal, Volume XVIII, Issue (4) 2015, pp. 7-36.
  • [ 2013, glossary ] E-government: Russian-English glossary of terms and concepts / Sergey Kamolov, Xenia Dorenko, Ivan Korzhov, Sergey Kraevskiy, Vladimir Podolskiy; ed. Sergey Kamolov. Moscow State Institute of International Relations; International Institute of Mangement, dept. of public administration and law. – M.: MSIIR-University, 2013. – 55 pp. – ISBN 978-5-9228-0948-1.
  • [ 2012 ] Vladimir E. Podolskiy, Robert E. Hiromoto. "A Parallel Algorithm for Pattern Clustering and Classification," // Neural Networks and Artificial Intelligence (NNAI’2012): proceedings of the 7th International Conference (10 – 12 October, Minsk, Republic of Belarus). – Minsk: BSUIR, 2012, pp. 17-21.
  • [ 2012, Int. peer-reviewed Journal ] Podolskiy V.E. Dividing outliers into Valuable and Noise Points // International Journal of Computing, 2012, Vol. 11, Issue 1, pp. 25-31. – ISSN: 1727-6209.
  • [ 2012, peer-reviewed Journal ] Podolskiy V.E., Gretschichev K.M., Pugachev E.K. Erroneous pattern recognition by artificial neural networks and methods of chaos theory as a basis for a new approach to computer art // Bauman Moscow State Technical University, 2012. Special issue (4), pp. 125-134. (in Russian).

Social Activities

  • [ 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