Titlebook: Information Technologies and Mathematical Modelling: Queueing Theory and Applications; 15th International S Alexander Dudin,Alexander Gorts

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https://doi.org/10.1007/978-3-319-44615-8algorithms; computer networks; Markov processes; modeling; network protocols; numerical methods; performan

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Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Gedered in conditions of its incomplete observability, when the dead time period of a constant duration . is generated after every registered event. This paper is devoted to the maximum likelihood estimation of the dead time period duration on monitoring the time moments of the flow events occurrence.

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A Mathematical Model of an Insurance Company in the Form of a Queueing System with an Unlimited Num number of risks that are insured in the company and a number of demands for one-time insurance payments. We also obtain expressions for the expected values and dispersions of components of a two-dimensional process. The total amount of insurance payments has been reviewed and its distribution found.

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Maximum Likelihood Estimation of the Dead Time Period Duration of a Modulated Synchronous Flow of Eration of the dead time period finishes, the first event to occur creates the dead time period of duration . again and etc. It is supposed that the dead time period duration is an unknown variable. Using the maximum likelihood method and a moments of observed events occurrence the problem of dead time period estimation is solved.

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TCP-NewReno Protocol Modification for MANET Networks,provides for its execution. This article describes the features of MANET networks and contains results of model experiments with the TCP protocol under the influence of a high bit errors rate and changeable topology. Additionally, modifications for increasing the performance of the TCP-NewReno protocol are presented.

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Conference proceedings 2016ully reviewed and selected from 96 submissions. They are devoted to new results in the queueing theory and its applications, addressing specialists in probability theory, random processes, mathematical modeling as well as engineers dealing with logical and technical design and operational management of telecommunication and computer networks..

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