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Mathematical model of Scheduler with Semi-Markov input and bandwidth sharing discipline A. A. Nazarov, A. N. Moiseev, I. L. Lapatin [et al.]

Contributor(s): Nazarov, Anatoly A | Moiseev, Alexander N | Lapatin, Ivan L | Paul, Svetlana V | Lizyura, Olga D | Pristupa, Pavel V | Peng, Xi | Chen, Li | Bai, BoMaterial type: ArticleArticleContent type: Текст Media type: электронный Subject(s): системы массового обслуживания | полумарковский поток | полоса пропусканияGenre/Form: статьи в сборниках Online resources: Click here to access online In: 2021 International conference on information technology (ICIT) : advanced machine learning and deep learning, Al Zaytoonah University of Jordan - Amman, 2021, 14-15 July P. 494-498Abstract: In this paper, we consider single server queueing system with multiple semi-Markov inputs and buffers. Each request of the flows brings to the system some random amount of information. According to the bandwidth sharing discipline, each buffer has its own part of the throughput and the server transmits the information from buffers simultaneously. The aim of the current research is to derive the probability distribution of the amount of information in single buffer.
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In this paper, we consider single server queueing system with multiple semi-Markov inputs and buffers. Each request of the flows brings to the system some random amount of information. According to the bandwidth sharing discipline, each buffer has its own part of the throughput and the server transmits the information from buffers simultaneously. The aim of the current research is to derive the probability distribution of the amount of information in single buffer.

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