Designing Risk Resilient Networked High-Load Computing Web-Systems for Information Flow Processing Nadiia Pasieka 1 , Zora Říhová 2 , Marta Vohnoutová 2 , Nelly Lysenko 1 , Oleksandra Lysenko 1 , Vasyl Sheketa 3 , Mykola Pasyeka 3 and Nataliia Kulchytska 1 1 Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, 76000, Ukraine 2 University of South Bohemia, Branišovská 1645/31a, České Budějovice, 370 05, Czechia 3 National Tech. University of Oil & Gas, Ivano-Frankivsk, 76068, Ukraine Abstract Improved models and algorithms for the architecture of a high-loaded risk resilient Web-system, whose main differences are the possibility of aggregation and sharing of large sets of heterogeneous computing resources to process information data distributed between geographically separated territories. The proposed model and algorithms allow the efficient and secure use of additional network resources connected to the functional network, in contrast to traditional approaches, when these resources are not available within a single computing node on an independent computing platform. Subsequently, innovative approaches have been developed to build high-load risk resilient distributed cluster software systems, which provides a significant increase in the total amount of effective processing of information flows of the node communication system as a whole. Therefore, the use of this approach is appropriate for distributed risk-tolerant software systems where rapid loss of information flows is highly undesirable. Next, algorithms were developed for automated load management of independent computer platforms of information data flows for efficient scaling (clustering) of risk-resistant software systems. Keywords 1 Risky software systems, task distribution, algorithms, architecture, Web-systems. 1. Introduction Balancing the load on computing nodes provides an even load of hardware and software systems on independent computing platforms. A risk-resistant software system that balances the computational load must automatically decide on which node to perform the affective calculations associated with the new information task. So, the main task of balancing is the process of effective support of the process of transferring (migration) part or the whole calculation from the most loaded computing CITRisk’2021: 2nd International Workshop on Computational & Information Technologies for Risk-Informed Systems, September 16–17, 2021, Kherson, Ukraine EMAIL: pasyekanm@gmail.com (N.Pasieka); zora.rihova@trilogic.cz (Z.Říhová); marta.vohnoutova@gmail.com (M.Vohnoutová); nelli.lysenko@gmail.com (N.Lysenko); lysenkowa@gmail.com (O.Lysenko); vasylsheketa@gmail.com (V.Sheketa); pms.mykola@gmail.com (M.Pasieka); nataliia.kulchytska@pnu.edu.ua (N.Kulchytska) ORCID: 000-0002-4824-2370 (N.Pasieka); 0000-0003-3896-4297 (Z.Říhová); 0000-0002-8915-8626 (M.Vohnoutová); 0000−0002−1029−7843 (N.Lysenko); 0000−0002−1029−7843 (O.Lysenko); 0000−0002−1318−4895 (V.Sheketa); 0000−0002−3058−6650 (M.Pasieka); 0000-0001-9308-6840 (N.Kulchytska) © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)