Semi-Markov resource flow as a bit-level model of traffic

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Semi-Markov resource flow as a bit-level model of traffic	636 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1007/978-3-030-97110-6_17

Title: Semi-Markov resource flow as a bit-level model of traffic
Creator: Nazarov, Anatoly A.
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Moiseev, Alexander N.
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Lapatin, Ivan L.
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Paul, Svetlana V.
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Lizyura, Olga D.
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Pristupa, Pavel V.
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Peng, Xi
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Chen, Li
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Bai, Bo
Date: 2022
DOI: 10.1007/978-3-030-97110-6_17
Description: In this paper, we consider semi-Markov flow as a bit-level model of traffic. Each request of the flow brings some arbitrary distributed amount of information to the system. The current paper aims to investigate the amount of information received in semi-Markov flow during time unit. We use the asymptotic analysis method under the limit condition of growing time of observation to derive the limiting probability distribution of the amount of information received in the flow and build the approximation of its prelimit distribution function.