Программная система для распределения нагрузки информационных систем

Пономарев Дмитрий Юрьевич

doi:10.7256/2306-4196.2013.5.9762


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Cybernetics and programming

Reference:

Ponomarev D. — Software load sharing system for information systems // Cybernetics and programming. – 2013. – № 5. – P. 29 - 36. DOI: 10.7256/2306-4196.2013.5.9762 URL: https://en.nbpublish.com/library_read_article.php?id=9762

Software load sharing system for information systems

Ponomarev Dmitriy

PhD in Technical Science

Associate Professor, Department of Electrical Engineering and Telecommunications, Reshetnev Siberian State Aerospace University.

660037, Russia, Krasnoyarskii krai, g. Krasnoyarsk, pr. im. gazety Krasnoyarskii rabochii, 31

ponomarevdu@yandex.ru

Другие публикации этого автора

DOI:

10.7256/2306-4196.2013.5.9762

Review date:

17-09-2013

Publish date:

1-10-2013

Abstract.

The article presents the results of the development of software for calculating load distribution in information systems using tensor methodology. Applying tensor models allows solving the task for a wide range of information networks. The article states that for the purpose of the application of tensor analysis to the problem of analyzing the distribution of traffic information network a software system that implements certain stages of network analysis was developed. The author notes that the used mathematical apparatus is well formalized and it is possible to solve the problem of the implementation of the tensor methodology in software system using the available software tools. As an example of the developed software the author presents a research on the distribution of traffic on the network. In conclusion, it is stated that the further analysis of the values of the intensity distribution of load requires defining the type information distribution systems (lossy or expectation), and determining the required number of lines for a given level of losses.
Keywords: software, load distribution, information systems, tensor methodology, information networks, structure of the primitive network, matrix components, transformation matrix, research, data analysis
This article written in Russian. You can find full text of article in Russian here .

References

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