
This paper introduce a new approach to analysing the queueing process, namely lattice paths (LPs). Starting with the \(M/G/1\) queueing system with \(i_{0}\) customers, the authors analyze a busy period with the LP approach. The general distribution in the \(M/G/1\) queueing system is approximated by 3-phase Cox distribution, \(C_{3}\). When the LP approach is applied to the discretised queueing model, the limiting case \(h \rightarrow 0\) yields results for the continuous model. Thus, a wide range of \(M/G/1\) queues with non-rational Laplace-Stieltjes transforms can be approximated by \(C_{3}\), which has Markovian properties. These results are very valuable. They are applicable to almost any real queueing systems.
Queueing theory, Applications of queueing theory (congestion, allocation, storage, traffic, etc.), non-Markovian processes: estimation, Modelling and Simulation, Applied Mathematics, Non-Markovian processes: estimation, Queueing theory (aspects of probability theory), applications (traffic), Performance evaluation, queueing, and scheduling in the context of computer systems, performance evaluation
Queueing theory, Applications of queueing theory (congestion, allocation, storage, traffic, etc.), non-Markovian processes: estimation, Modelling and Simulation, Applied Mathematics, Non-Markovian processes: estimation, Queueing theory (aspects of probability theory), applications (traffic), Performance evaluation, queueing, and scheduling in the context of computer systems, performance evaluation
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