| < Free Open Study > |
|
In this chapter, we introduced some of the basic concepts related to random variables and stochastic processes. It was shown that stochastic processes have some fundamental properties that allow them to be readily applied to the study of computer systems. One of these is the concept of the Poisson process and its application to the concept of expected arrival rates or service rates for events within stochastic processes. One special stochastic process is the birth-death process. This process was used to develop the concepts of equilibrium states and balance equations. These were used to determine state probabilities. A further refinement on the birth-death process is the Markov chain. The Markov chain has additional properties that lend it to the application of computer systems modeling. The reader is encouraged to consult [2-5] for further details.
| < Free Open Study > |
|