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Abstract

Computing systems designed to study complex objects have evolved from single-processor computers to fog infrastructures. The article describes the composition, hardware and software features of modern distributed grid-, cloud- and fog computing systems. It is shown how these features affect the study time of complex objects. This time is a measure of computing system effectiveness. Unfortunately, there is still no assessment of modern computing system architectures in terms of that measure. The article fills this deficiency. Computing systems should have the properties of complex objects under study - the main conclusion of the publication.

First Page

83

Last Page

89

References

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