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Unit 7: Simulation of Queuing System (I)



                                                                                                  Notes


               Notes  Queuing Theory and Simulation functions hand-in-glove to uncover and smooth
              out some of the uneven spots in a productive process - whether this includes delivering a
              service or a fabricated item to the instant consumer. When in use a gloved hand discloses
              only the glove; but without the hand within the glove is just an empty shell. Simulation
              Models only work due to the logical  power of  Queuing Theory  which underlies and
              facilitates them



            7.3 Computer Simulation for Queuing System

            The computer simulation is a method that demonstrates dynamically the structure and the
            behaviors of a system with computer in order to evaluate and predict the effect of the behaviors
            of some system and provide information for decision. It is an effective way to solve complicated
            practical problems. The queuing system is the most typical problem in the discrete event system,
            and computer system, communication system and transportation system are all typical tangible
            or intangible queuing system. As a result of the widely used queuing  system, the  queuing
            character, the queuing regulation, the service organization become more and more complex so
            that the parsing method nearly can’t be obtain. The computer simulation is a quite effective way
            for solve the queuing problem and analyzing the performances of the queuing system, which
            construct a real system model with computer program, and attain the performances and the
            characters changing with time through computation. With the computer simulation, the cost of
            the development  of the system can be reduced,  and  the safety of the  experiment and the
            debugging, thus it will bring great society effort and economic effort. In the queuing model,
            data units are often considered as customs and CPUs, transmission lines, channels and terminals
            are thought as queue. This is just a queuing model. Because input, computation, transmission,
            storage and output are discrete in time field, it is also called discrete queuing model. In real life,
            waiting in  queue is a common phenomenon, which makes people inconvenient .This paper
            takes the payment of minitype supermarket as an example to discuss the computer simulation
            for the single-channel and multi-channel queuing system.




               Task    Analyze an instance of Computer Simulation for Queuing System



            Some Conceptions in the Queuing System

            The  queuing  problem  is  a  problem  about  a  balance  between  average  waiting  time
            and idle time of server, i.e. how to queue to be both good for entity and server.
            The queuing theory is a science to solve the problem mentioned as above, and it is also named
            random serve theory since the arrival time of entities and the time of serve acceptance is usually
            random variable obeying some probability distribution. In the simulation of the queuing system,
            there are some conceptions usually being used as below:
            1.   Entity Arrival Mode: The entity is limited or limitless, and the arrival of the entity is in
                 individual or in batch. Entity arrival mode is often described with arrival interval. The
                 random arrival mode applied in the system appears very complex, and different probability
                 distributions have  to be  adopted  for  different  systems.  Index  distribution,  normal





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