Exam 8: Markov Analysis and Simulation Techniques for Queuing Systems

The first-order Markov chain is generally used when

To make simulation more popular, we need to avoid

Markov analysis is useful for:

State transition probabilities in the Markov chain should

Special simulation languages are useful because they

If a matrix of transition probability is of the order n*n, then the number of equilibrium equations would be

In a matrix of transition probability, the probability values should add up to one in each

Simulation should not be applied in all cases because it

While assigning random numbers in Monte Carlo simulation, it is

The purpose of using simulation technique is to

Simulation is defined as

The transition matrix elements remain positive from one point to the next. This property is known as:

While calculating equilibrium probabilities for a Markov process, it is assumed that

Service mechanism in a queuing system is characterized by

In a matrix of transition probability, the element aij where i=j is a

Biased random sampling is made from among alternatives which have

The cost of providing service in a queuing system decreases with

The general purpose system simulation language

As simulation is not an analytical model, therefore the result of simulation must be viewed as

Few causes of simulation analysis failure are