Currently high-performance computing technologies using computational capabilities for solving scientific, are actively improving. The purpose of our research is the development of toolkit for construction and execution of scientific service-oriented application in heterogeneous distributed computing environment (HDCE). These tools provide the access for subject domain experts to the high-capacity computing resource, using these resources without extensive knowledge of computing architecture and low-level software, and the parallel execution of the user application on the base of the service-oriented technology and multi-agent control. We describe an architecture and functional capabilities of automated toolkit for the service-oriented application creation based on applied programs package, and multi-agent control of this application parallel running in HDCE. We demonstrate an example of the creation of the web-application for parametric feedback synthesis of linear dynamic object by these tools. The offered technology allows simplifying service creation and provides new qualitative opportunities of controlling parallel high-performance computations.
CITATION STYLE
Bychkov, I. V., Oparin, G. A., Bogdanova, V. G., Pashinin, A. A., & Gorsky, S. A. (2017). Automation development framework of scalable scientific web applications based on subject domain knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10421 LNCS, pp. 278–288). Springer Verlag. https://doi.org/10.1007/978-3-319-62932-2_27
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