Abstract
The tools for intelligent management of high-performance computing in a heterogeneous distributed computing environment for solving large scientific problems are represented and the service-oriented multiagent approach to solve such problems using these tools is proposed. A purpose of our research is expansion of opportunities for management of the considered environment. Advantages of the proposed approach as compared with approaches based on use of the traditional systems for a distributed computing management are illustrated with two examples of scientific services. Experimental results show a high scalability and efficiency for calculations carried out with use of these services.
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Acknowledgments
The research was supported by Russian Foundation of Basic Research, projects no. 15-29-07955-ofi_m and no. 16-07-00931-a, and partially supported by the Council for Grants of the President of the Russian Federation for state support of the leading scientific schools, project NSh-8081.2016.9.
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Bychkov, I., Oparin, G., Feoktistov, A., Bogdanova, V., Sidorov, I. (2017). The Service-Oriented Multiagent Approach to High-Performance Scientific Computing. In: Dimov, I., Faragó, I., Vulkov, L. (eds) Numerical Analysis and Its Applications. NAA 2016. Lecture Notes in Computer Science(), vol 10187. Springer, Cham. https://doi.org/10.1007/978-3-319-57099-0_27
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