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Probability-time characteristics of MjGj1j1 queueing system with renovation probability characteristics (based on the embedded Markov chain) are obtained: The probability of the system
A single-server finite-capacity queueing system with Markov flow and discrete-time service characteristics, such as the stationary loss probability and mean waiting time for service, are determined. © 2005
Probability Characteristics of Queuing Systems with Two Different Threshold-Based Stochastic Drop Mechanisms⋆ into the system tasks cannot be dropped. The formulas for the main probability characteristics (such
Characteristics of lost and served packets for retrial queueing system with general renovation and recurrent input flow to obtain some probability and time related performance characteristics the embedded Markov chain technique
Reliability of a double redundant system under the full repair scenario characteristics of a double redundant system under the full repair scenario and arbitrarily distributed life-time
Renewal redundant systems under the Marshall-Olkin failure model. A probability analysis model is considered. The purpose of the study is to find analytical expressions for the time dependent
Probability characteristic algorithm of upstream traffic in passive optical network with the algorithm for calculation of call blocking probability in upstream traffic multiservice model for PON
The analysis of cloud computing system as a queueing system with several servers and a single buffer times of all parts of this query). Expressions for the stationary performance characteristics
On Importance of Sensitivity Analysis on an Example of a k-out-of-n System of the non-stationary and stationary characteristics of the system reliability to the shape of the repair-time
The Analysis of Queueing System with Two Input Flows and Stochastic Drop Mechanism characteristics of non-priority requests, such as probability of being dropped (or serviced), waiting time
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