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Задача маршрутизации с разделяемым трафиком и неполной информацией

Задача маршрутизации с разделяемым трафиком и неполной информацией

Abstract

Работа посвящена исследованию равновесий в байесовской игре оптимальной маршрутизации, в которой игроки действуют эгоистично, стараясь минимизировать ожидаемую задержку своего трафика. Подобная схема для задачи с неделимым трафиком была представлена в работе [1], здесь предлагается ее модификация для модели сети параллельных каналов, где трафик произвольно разделяемый. Рассматриваются два вида равновесия: равновесие по Вардропу, которое всегда существует и может быть найдено с использованием потенциала, и его частный случай байесовское равновесие по Вардропу, структура которого представляется более понятной игроку, однако его существование в данный момент является открытым вопросом.

We investigate the equilibria in Bayesian routing game in network with selfish users behavior where each user chooses his route trying to minimize the expected delay of the traffic he sends. This scheme is based on [1] and modified for model with parallel links where users traffic is splittable. Our interest are equilibria: Wardrop Equilibrium, that always exists and can be found using potential function, and its special case Bayesian Wardrop Equilibrium, that can be more easily understood by users, but its existence is an open question.

Keywords

ОПТИМАЛЬНАЯ МАРШРУТИЗАЦИЯ, РАЗДЕЛЯЕМЫЙ ТРАФИК, НЕПОЛНАЯ ИНФОРМАЦИЯ, РАВНОВЕСИЕ ПО ВАРДРОПУ

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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
gold