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Multicriteria Model of Distribution of P2P-TV Data Streams on Hypergraphs

Authors: Salpagarov S.I.; Isaev Y.D.;

Multicriteria Model of Distribution of P2P-TV Data Streams on Hypergraphs

Abstract

This article describes the problem of the distribution data streams process in P2P video streaming systems. It also discuss the case of watching TV channels by a lot of users in P2P system. The mathematical model is described in the language of the hypergraph theory in a multi-criterion formulation. The criteria are MINMAX and MINMIN, which allow taking into account the performance indicators such as the time of switching between channels, the interruption of the image and the minimum traffic load at the same time.

В данной статье описана проблема процесса распределения потоков данных в одноранговых сетях передачи потокового видео. Рассмотрен случай просмотра телевизионных каналов множеством пользователей в P2P сетях. Математическая модель описана на языке теории гиперграфов в многокритериальной постановке. Критерии имеют вид MINMAX и MINMIN, которые позволяют одновременно учитывать показатели эффективности по времени переключения между каналами, прерывания изображения и минимальной загрузке трафика.

Keywords

гиперграф, многокритериальность, distribution of data flows, распределение потоков данных, hypergraph, combinations on hypergraphs, vector objective function, multicriteria, сочетания на гиперграфах, P2P-телевидение, P2P-TV, векторная целевая функция

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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
Average
Average
Green