Scientific Services Consolidation Methods

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.

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Funding

This research is partially supported by the Russian Foundation for Basic Research (projects 18-29-03091, 19-29-03051) using the resources of the CKP ‘Informatics.’

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Correspondence to A. A. Zatsarinny or V. A. Kondrashev or A. A. Sorokin or S. A. Denisov.

Additional information

This article was prepared based on a report presented at the 1st International Conference on “Mathematical Modeling in Materials Science of Electronic Components” (Moscow, 2019).

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Zatsarinny, A.A., Kondrashev, V.A., Sorokin, A.A. et al. Scientific Services Consolidation Methods. Russ Microelectron 49, 612–616 (2020). https://doi.org/10.1134/S1063739720080144

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Keywords:

  • consolidated service
  • multiscale modeling
  • multilevel modeling
  • digital platform
  • сloud сomputing
  • scientific service
  • service integration