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    <title>Stationary probability distribution of a system with N equal&#13;
customers with bursty demands connected to a single buffer</title>
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    <abstract>In this paper we study the stationary probability distribution of a system consisting of a finite capacity buffer connected to N equal customers with bursty on-off demands. We assume that the buffer is filled up at a constant rate and we analyze the case when this filling rate satisfies an optimization condition according to the customer demands. First, we consider semi-Markov on-off demands for the case N = 2 and we model the dynamics of the system using a semi-Markov evolution environment. We show that we can use the phase merging algorithm to reduce the problem to a Markov evolution environment case. Then, we generalize the results for any N using a birth-and-death process.</abstract>
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          <family>Rodríguez-Saіd</family>
          <given>R. D.</given>
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          <family>Pogoruі</family>
          <given>А. А.</given>
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          <family>Rodríguez-Dagnіno</family>
          <given>Ramón М.</given>
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    <date>2007</date>
    <publication>Stochastic Eqs</publication>
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    <publisher>ROSE</publisher>
    <pagerange>181-204</pagerange>
    <refereed>TRUE</refereed>
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