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Solve Phase Queuing Models by Using Markov Transition Rate Matrix | ||
| Journal of Research Diyala humanity | ||
| Article 1, Volume 0, Issue 31, 2017, Pages 53-72 | ||
| Author | ||
| Dawood S. Raheem | ||
| Abstract | ||
| Markov processes are considered an appropriate for queuing system. As they suppose that unites arrival process to the system followed a certain distribution and the service times should be separate form each others. This means that each time is considered to be a random variable having a certain probable distribute. Many researchers concern for developing and founding new methods to solve complex queuing models. This research will take many articles to solve phase distributed queuing models the first article is Birth-Death process. The second is Quasi-Birth-Death process. The third are illustrates the Level Dependent Quasi Birth –Death Process (LDQBD), while the forth concern on the numerical solve and results testing. Last and fifth article discuses the main conclusions reached by depending on Transition Rate Matrix. | ||
| Keywords | ||
| Level Dependent Quasi; Birth; Death process; Markov processes; Queuing models with distributions metaphase | ||
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