Mjolnirr: A Hybrid Approach to Distributed Computing - Architecture and Implementation. - Dmitry I. Savchenko; Gleb I. Radchenko (CLOSER, 2014)

Mjolnirr: Private PaaS as distributed computing evolution. - Dmitry I. Savchenko; Gleb I. Radchenko (MIPRO, 2014)

Microservices validation: Mjolnirr platform case study. - Dmitry I. Savchenko; Gleb I. Radchenko; Ossi Taipale (MIPRO, 2015)

Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study. - Ekaterina A. Nepovinnykh; Gleb I. Radchenko (MIPRO, 2016)

Developing a Parking Monitoring System based on the analysis of images from an outdoor surveillance camera. - I. V. Sukhinskiy; Ekaterina A. Nepovinnykh; Gleb I. Radchenko (MIPRO, 2016)

Testing-as-a-service approach for cloud applications. - Dmitry I. Savchenko; Nikita Ashikhmin; Gleb I. Radchenko (UCC, 2016)

Bi-objective Heterogeneous Consolidation in Cloud Computing. - Luis-Angel Galaviz-Alejos; Fermin-Alberto Armenta-Cano; Andrei Tchernykh; Gleb I. Radchenko; Alexander Yu. Drozdov; Oleg Sergiyenko; Ramin Yahyapour (CARLA, 2017)

Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. - Vanessa Miranda-López; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Sergio Nesmachnow; Zhihui Du (CARLA, 2017)

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form. - Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Maria Nikolaevna Shabalina; Irina Vashchenko; Gleb I. Radchenko; Daniil Murga (DEXA Workshops, 2017)

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. - Andrei Tchernykh; Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Jorge M. Cortés-Mendoza; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Maxim Anatolievich Deryabin; Inna Dvoryaninova; Gleb I. Radchenko (DEXA Workshops, 2017)

RAML-Based Mock Service Generator for Microservice Applications Testing. - Nikita Ashikhmin; Gleb I. Radchenko; Andrei Tchernykh (RuSCDays, 2017)

Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rulea Smart Factory. - Kirill Borodulin; Gleb I. Radchenko; Aleksandr Shestakov; Leonid B. Sokolinsky; Andrey Tchernykh; Radu Prodan (UCC, 2017)

Identification of Saimaa Ringed Seal Individuals Using Transfer Learning. - Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen; Gleb I. Radchenko (ACIVS, 2018)

Dataflow Adapter: A Tool for Integrating Legacy Applications into Distributed Stream Processing. - Alexey Podkoritov; Ksenia Repina; Gleb I. Radchenko; Andrei Tchernykh (UCC Companion, 2018)

Micro-Workflows: Kafka and Kepler Fusion to Support Digital Twins of Industrial Processes. - Gleb I. Radchenko; Ameer B. A. Alaasam; Andrei Tchernykh (UCC Companion, 2018)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Viktor Andreevich Kuchukov; Jorge M. Cortés-Mendoza; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Gleb I. Radchenko; Arutyun Avetisyan (Int. J. Approx. Reason., 2018)

Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation. - Enzo Fabbiani; Sergio Nesmachnow; Jamal Toutouh; Andrei Tchernykh; Arutyun Avetisyan; Gleb I. Radchenko (Program. Comput. Softw., 2018)

Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. - Renzo Massobrio; Sergio Nesmachnow; Andrei Tchernykh; Arutyun Avetisyan; Gleb I. Radchenko (Program. Comput. Softw., 2018)

Multi-objective Configuration of a Secured Distributed Cloud Data Storage. - Luis Enrique García-Hernández; Andrei Tchernykh; Vanessa Miranda-López; Mikhail G. Babenko; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko; Carlos Jaime Barrios Hernández; Harold Castro; Alexander Yu. Drozdov (CARLA, 2019)

Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. - Vanessa Miranda-López; Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Maxim Anatolievich Deryabin; Elena Golimblevskaia; Egor M. Shiryaev; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko; El-Ghazali Talbi (HPCS, 2019)

Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. - Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko (IPDPS Workshops, 2019)

Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. - Andrei Tchernykh; Vanessa Miranda-López; Mikhail G. Babenko; Fermin-Alberto Armenta-Cano; Gleb I. Radchenko; Alexander Yu. Drozdov; Arutyun Avetisyan (Clust. Comput., 2019)

Operating cost and quality of service optimization for multi-vehicle-type timetabling for urban bus systems. - David Pena; Andrei Tchernykh; Sergio Nesmachnow; Renzo Massobrio; Alexander G. Feoktistov; Igor V. Bychkov; Gleb I. Radchenko; Alexander Yu. Drozdov; Sergey N. Garichev (J. Parallel Distributed Comput., 2019)

Configurable cost-quality optimization of cloud-based VoIP. - Andrei Tchernykh; Jorge M. Cortés-Mendoza; Igor V. Bychkov; Alexander G. Feoktistov; Loic Didelot; Pascal Bouvry; Gleb I. Radchenko; Kirill Borodulin (J. Parallel Distributed Comput., 2019)

Comparative Analysis of Virtualization Methods in Big Data Processing. - Gleb I. Radchenko; Ameer B. A. Alaasam; Andrei Tchernykh (Supercomput. Front. Innov., 2019)

A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko (CARLA, 2020)

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Mikhail G. Babenko; Luis Bernardo Pulido-Gaytan; Gleb I. Radchenko; Franck Leprévost; Xinheng Wang 001; Arutyun Avetisyan (RuSCDays, 2020)

Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Arutyun Avetisyan; Alexander Yu. Drozdov; Raúl Rivera-Rodríguez; Gleb I. Radchenko; Zhihui Du (IEEE Internet Things J., 2020)

Analytic Study of Containerizing Stateful Stream Processing as Microservice to Support Digital Twins in Fog Computing. - Ameer B. A. Alaasam; Gleb I. Radchenko; Andrei Tchernykh; José Luis González Compeán (Program. Comput. Softw., 2020)

LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. - Jorge M. Cortés-Mendoza; Gleb I. Radchenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Mikhail G. Babenko; Arutyun Avetisyan; Pascal Bouvry; Albert Y. Zomaya (CCGRID, 2021)

Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum. - Vladislav Kashansky; Gleb I. Radchenko; Radu Prodan (ICCS (1), 2021)

Monitoring system architecture for the multi-scale blockchain-based logistic network. - Vladislav Kashansky; Radu Prodan; Aso Validi; Cristina Olaverri-Monreal; Gleb I. Radchenko (UCC Companion, 2021)

Refactoring the Monolith Workflow into Independent Micro-Workflows to Support Stream Processing. - Ameer B. A. Alaasam; Gleb I. Radchenko; Andrei Tchernykh (Program. Comput. Softw., 2021)

Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare. - Ivan Volkov; Gleb I. Radchenko; Andrei Tchernykh (Program. Comput. Softw., 2021)

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Arutyun Avetisyan; Alexander Yu. Drozdov (Peer-to-Peer Netw. Appl., 2021)

Micro-Workflows Data Stream Processing Model for Industrial Internet of Things. - Ameer B. A. Alaasam; Gleb I. Radchenko; Andrey N. Tchernykh (Supercomput. Front. Innov., 2021)

Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing Systems. - Alexandra A. Kirsanova; Gleb I. Radchenko; Andrey N. Tchernykh (Supercomput. Front. Innov., 2021)

Uncertainty Estimation in Multi-Agent Distributed Learning. - Gleb I. Radchenko; Victoria Andrea Fill (CoRR, 2023)

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices. - Gleb I. Radchenko; Victoria Andrea Fill (CLOSER, 2024)

Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation. - Gleb I. Radchenko; Victoria Andrea Fill (CoRR, 2024)