System interface of scientific services of a digital platform for multiscale modeling

The paper deals with the formation of system interfaces of a digital platform for managing the process of providing scientific services, including the integration of scientific services for solving a complex research problem, for example, multiscale modeling of the properties of new materials or conducting interdisciplinary research. On the basis of the functional structure of the integration of scientific services of a digital platform (in relation to multiscale modeling) presented in the work, requirements for the system interface are formulated, and the architecture of the system interface for the integration of scientific services of a digital platform is proposed. The proposed model of a system interface for information interaction with services and datasets of a digital platform in management processes for the provision of scientific services is based on modern solutions for managing virtual infrastructure, based on container processing technologies and microservices, as well as container orchestration and communication (service mesh), flexible technologies (agile) integration. Taking into account that the main function of the digital platform is to provide processes for the preparation and conduct of research by formalizing the interaction scenarios of researchers, suppliers (sources) of initial data, consumers of the results, along with tools for supporting system interfaces to the catalogs of the digital platform, the project offers means for organizing the interaction of services, registered on the platform in order to ensure the execution of scientific research. Synchronization of the processes of providing services, ensuring the transfer of data between services and obtaining the final result are also ensured by implementing the control processes of the digital platform, which is based on the proposed system interface. The developed model of system interfaces is new in the work. The proposed interaction interface allows you to effectively consolidate high-performance computing resources and mathematical models based on digital platform technologies. This is especially important for organizing the solution of multiscale modeling problems as a complex of models, each of which operates on the same space-time scale.

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