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Тензорная методология в информационных коммуникациях

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2012 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики»Journal:Известия высших учебных заведений. Приборостроение (issn: 0021-3454, Copyright policy )

Тензорная методология в информационных коммуникациях

Abstract

A method is proposed for estimation of probability-temporal characteristics of queuing network with the use of mathematical tools of tensor calculus. The method is shown to allow for analysis of high dimensionality networks.

Предложен метод оценки вероятностно-временных характеристик сетей массового обслуживания с использованием математического аппарата тензорного исчисления, позволяющего исследовать указанные сети при их большой размерности.

Keywords

ИНФОРМАЦИОННО-КОММУНИКАЦИОННЫЕ СЕТИ,КАЧЕСТВО ОБСЛУЖИВАНИЯ,QUALITY OF SERVICE,ТЕНЗОРНЫЙ АНАЛИЗ,TENSOR ANALYSIS,СРЕДНЕЕ ВРЕМЯ ЗАДЕРЖКИ ПАКЕТА,IMS-NET

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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