
doi: 10.2307/1426041
In this paper a storage model is described in which fluctuations in the content are governed by a sequence of independent identically distributed (i.i.d.) random inputs and i.i.d. random releases. This sequence proceeds according to an underlying semi-Markov process. Laplace transforms of the exact distribution of the content are given for the case of negative exponential distributions for both inputs and releases. Exact expressions for limiting (in time) content distributions are found. In the general case, the asymptotic behavior of the content is described for critical and supercritical limiting conditions.
Markov renewal processes, semi-Markov processes, Limit theorems in probability theory, Applications of queueing theory (congestion, allocation, storage, traffic, etc.), Inventory, storage, reservoirs
Markov renewal processes, semi-Markov processes, Limit theorems in probability theory, Applications of queueing theory (congestion, allocation, storage, traffic, etc.), Inventory, storage, reservoirs
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