Abstract

The article discusses methods of consolidating scientific services of a digital platform for integrating a set of scientific services for various fields of science for conducting interdisciplinary research. Solutions for creating consolidated services can be widely used for multilevel, multiscale modeling in the field of materials science, which provides complex modeling at several levels of the hierarchy. Currently, this problem is being solved by creating multicomponent hierarchical software systems on corporate computing systems. With the advent of high-performance cloud computing platforms, it will be possible to order services for solving particular modeling problems as a scientific service. In this case, the tasks of complex hierarchical modeling will be solved by a consolidated service - a service providing sequential-parallel execution of complex modeling components in the form of specialized scientific services. The description of the processes for the provision of scientific services is based on the research methodology and is a research plan (the work process mapping), which describes a set of operations related to time and includes a list of necessary resources for their implementation. In modern conditions of the development of a microservice approach to the creation of computing systems and the evolution of the Service Oriented Architecture and of the Enterprise Service Bus integration, special attention is paid to the problems of efficient integration of platform services. The paper proposes to supplement the existing description of a scientific service with the possibility of ordering a third-party service based on agile integration. This approach will allow at the present stage of development of service architectures to overcome the shortcomings of centralized systems such as Enterprise Service Bus and take advantage of the elasticity of cloud computing and a microservice approach to creating information and computing systems.

Highlights

  • Solutions for creating consolidated services can be widely used for multilevel, multiscale modeling in the field of materials science, which provides complex modeling at several levels of the hierarchy

  • The tasks of complex hierarchical modeling will be solved by a consolidated service - a service providing sequential-parallel execution of complex modeling components in the form of specialized scientific services

  • The description of the processes for the provision of scientific services is based on the research methodology and is a research plan, which describes a set of operations related to time and includes a list of necessary resources for their implementation

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Summary

Методы консолидации научных сервисов*

Необходимость комплексного моделирования на нескольких уровнях иерархии требует создания многокомпонентных иерархических программных комплексов для решения задач многомасштабного компьютерного моделирования структурных свойств различных материалов. Одновременно с процессом создания иерархических программных комплексов многомасштабного моделирования идет развитие технологии цифровых платформ, предлагающих сервисы, в том числе в области математического моделирования свойств материалов. В целом, проблемам интеграции ресурсов для научных исследований и сервисов в рамках цифровой платформы, в частности, представлению процессов научного исследования в виде облачного сервиса цифровой платформы, не уделяется достаточного внимания. В настоящей работе предлагаются методы представления консолидированных сервисов в среде облачных вычислений на основе теоретической и практической проработки цифровой процессной модели представления процессов многомасштабного моделирования в виде научных сервисов цифровой платформы. В качестве основного инструмента интеграции сервисов моделирования предлагается гибкая (agile) интеграции сервисов [3], которая позволяет в современных условиях развития сервис−ориентированной модели взаимодействия программных компонентов преодолеть недостатки корпоративной шины предприятия и в полной мере воспользоваться достоинствами облачных вычислений [4]

Консолидированный научный сервис
Система консолидации сервисов в цифровой платформе
Библиографический список

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