Radchenko Gleb

University

Federal State Autonomous Educational Institution of Higher Education “South Ural State University (national research university)”

English proficiency

Advanced

The program of study for which the graduate student will be accepted

Informatics and computer engineering

The code of the direction of study for which the graduate student will be accepted

09.06.01

List of research projects of a potential research supervisor (participation / leadership)

For 2015-2020

Leadership:

1. RFBR Grant No. 18-07-01224-a (2018-2020): "Development of models, methods and algorithms for planning containerized computing resources when executing streaming applications within the framework of the concept of a digital enterprise".
2. Erasmus + Program Grant 2015-2940 / 001-001 (2015-2018): "Joint Programs and Framework for Doctoral Education in Software Engineering" ("Joint Programs and Infrastructure for Postgraduate Studies in Software Engineering").
3. RFBR Grant No. 14-07-00420 (2014-2016): "Development of models, methods and algorithms for profiling problem-oriented applications with a stream structure in large multiprocessor systems with a hierarchical architecture".
4. Grant of the President of the Russian Federation MK-7524.2015.9 (2015-2016): "Technology for the provision of scientific services based on the concept of workflows in the framework of private cloud PaaS systems".

Participation:

1. RFBR Grant No. 15-29-07959 ofi-m (2015-2017): "Development of methods and algorithms for scheduling the execution of streaming applications when solving engineering analysis problems in distributed computing environments".

List of possible research topics

Cloud computing technologies, fog computing technologies, digital twin development technologies using fog and cloud computing systems, distributed computing systems, problem-oriented distributed computing systems.

Research supervisor:

Gleb I. Radchenko,

Candidate of Science,

South Ural State University

Headline:

Cloud and Fog computing for Digital Twins.

Supervisor’s research interests:

Research highlights:

Digital Twins are a critical part of the infrastructure for such systems as “Smart City”, “Smart Industry”, etc. To support data gathering and processing there is a need for complex computational infrastructure, supporting stream data processing, low latency, and specific computational capabilities, which could be provided by Fog and Cloud computing solutions. The research would be supported by the means of the Supercomputer centre of South-Ural State University (http://supercomputer.susu.ru/en/) and would be organized in the collaboration with our international partners, including CICESE Research Center, Mexico.

Supervisor’s specific requirements:

• Acquaintance with the technologies of distributed computing systems organization,
• Basics of service-oriented systems design,
• Acquaintance with the cloud computing concept,
• Acquaintance with the basics of virtualization and containerization technologies.

Supervisor’s main publications:

7 publications in scientific journals, indexed in WoS/Scopus, including:

• Radchenko, G.I., Alaasam, A.B.A., Tchernykh, A.N. Comparative analysis of virtualization methods in Big Data processing (2019) Supercomputing Frontiers and Innovations, 6 (1), pp. 48-79.
• Tchernykh, A., Cortés-Mendoza, J.M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., Borodulin, K. Configurable cost-quality optimization of cloud-based VoIP (2019) Journal of Parallel and Distributed Computing, 133, pp. 319-336.
• Tchernykh, A., Miranda-López, V., Babenko, M., Armenta-Cano, F., Radchenko, G., Drozdov, A.Y., Avetisyan, A. Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage (2019) Cluster Computing, 22 (4), pp. 1173-1185.
• Tchernykh, A., Babenko, M., Chervyakov, N., Miranda-López, V., Kuchukov, V., Cortés-Mendoza, J.M., Deryabin, M., Kucherov, N., Radchenko, G., Avetisyan, A. AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage (2018) International Journal of Approximate Reasoning, 102, pp. 60-73.
• Fabbiani, E., Nesmachnow, S., Toutouh, J., Tchernykh, A., Avetisyan, A., Radchenko, G. Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation (2018) Programming and Computer Software, 44 (6), pp. 508-525.