Fundamentals of queueing theory
Thoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.
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SINGLECHANNEL EXPONENTIAL QUEUEING MODELS
SIMPLE MARKOVIAN BIRTHDEATH QUEUEING MODELS
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analysis approximation assumed average number average waiting balking birth-death birth-death process block booth boundary condition busy period calculate channel Chapter coefficients consider cost customers arrive defined denote departure derive determine difference equations differential equation ergodic Erlang type estimate example expected number expected value exponential distribution finite given Hence idle independent integral interarrival interval Laplace-Stieltjes transform linear Little's formula machine Markov chain Markovian mean arrival rate mean service rate measures of effectiveness number of arrivals number of customers observations obtain operator optimal output parameters particular solution phases Poisson distribution Poisson input Poisson process priority probability distribution probability generating function problem procedure queue discipline queueing model queueing system queueing theory random number random variable referred root Section semi-Markov process server service-time SIMSCRIPT simulation solve station stationary statistical steady-state probabilities stochastic process Table theorem tion transient unit variance Wq(t yields zero