Theoretical foundations and technologies of resources
management and scheduling in distributed computing. Grant of the President of
the Russian Federation for Scientific Schools State Support. NS-6577.2016.9.
2016-2017.
Professor V. Toporkov
Anticipation Scheduling of Structured Jobs Flows in
Distributed Heterogeneous Computing Environments. RFBR (grant 18-07-00456).
2018-2020.
Professor V. Toporkov
Optimization algorithms’ development for efficient job
execution and resources co-allocation in Grid, distributed and cloud
infrastructures. RFBR (grant № 18-07-00534). 2018-2020.
Associate Professor D. Yemelyanov
Methods and algorithms of intelligent data analysis in
dynamic decision support systems. RFBR (grant (№ 18-01-00201). 2018-2020.
Associate Professor M. Fomina
Scheduling methods for efficient resource share in Grid
and cloud computing based on user preferences. Grant of the President of the
Russian Federation for State Support of Young Scien-tists YPhD-2297.2017.9.
2017-2018.
Associate Professor D. Yemelyanov
Methods of coordinated resources’ allocation for efficient
distributed computing scheduling under uncertainties. Grant of the President of
the Russian Federation for State Support of Young Scientists YPhD-2979.2019.9.
2019-2020.
Associate Professor D. Yemelyanov
Development of methods and technologies of cloud resources
provisioning for composite applications in the workflow-as-a-service paradigm.
RSF (project no. 22-21-00372). 2022-2023.
Professor V. Toporkov