An Introduction to Queueing Theory: Modeling and Analysis in by U. Narayan Bhat

By U. Narayan Bhat

This introductory textbook is designed for a one-semester path on queueing concept that doesn't require a direction in stochastic tactics as a prerequisite. through integrating the required history on stochastic procedures with the research of types, the paintings offers a legitimate foundational advent to the modeling and research of queueing structures for a extensive interdisciplinary viewers of scholars in arithmetic, records, and utilized disciplines equivalent to machine technological know-how, operations examine, and engineering.

Key features:

* An introductory bankruptcy together with a old account of the expansion of queueing thought within the final a hundred years.

* A modeling-based process with emphasis on id of types utilizing subject matters similar to number of information and assessments for stationarity and independence of observations.

* Rigorous therapy of the principles of simple versions normal in functions with applicable references for complex topics.

* A bankruptcy on modeling and research utilizing computational tools.

* A accomplished remedy of statistical inference for queueing systems.

* A dialogue of operational and determination problems.

* Modeling routines as a motivational device, and evaluation workouts masking historical past fabric on statistical distributions.

An creation to Queueing Theory can be utilized as a textbook via first-year graduate scholars in fields comparable to machine technology, operations examine, commercial and structures engineering, in addition to comparable fields reminiscent of production and communications engineering. Upper-level undergraduate scholars in arithmetic, information, and engineering can also use the booklet in an optional introductory direction on queueing thought. With its rigorous insurance of simple fabric and wide bibliography of the queueing literature, the paintings can also be important to utilized scientists and practitioners as a self-study reference for purposes and additional research.

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Additional resources for An Introduction to Queueing Theory: Modeling and Analysis in Applications

Sample text

These procedures will be introduced as and when they are needed. 4 Simple Markovian Queueing Systems Poisson arrivals and exponential service enable us to use Markovian queueing models that are easy to analyze and that produce usable results. Historically, these have also been the models used in the early stages of queueing theory to help decision making in the telephone industry. The underlying Markov process representing the number of customers in such systems is known as a birth-and-death process, which is widely used in population models.

Lim Pin (t) = pn , n = 0, 1, 2, . . , t→∞ and therefore Pn (t) → 0 as t → ∞. 3), we get 0 = −λ0 p0 + µ1 p1 , 0 = −(λn + µn )pn + λn−1 pn−1 + µn+1 pn+1 , n = 1, 2, . . 5) These equations can be easily solved through recursion. 5), we have λ0 p1 = p0 . 6) µ1 For n = 1, the second equation gives (λ1 + µ1 )p1 = λ0 p0 + µ2 p2 . 6), this equation reduces to µ2 p2 = λ1 p1 , λ1 λ 0 p2 = p0 . µ2 µ1 Continuing this recursion for n = 2, 3, . . 7) λ0 λ1 · · · λn−1 p0 . 8) gives ∞ p0 = 1 + n=1 λ0 λ1 · · · λn−1 µ 1 µ2 · · · µn n∈S pn = 1, which when −1 .

3 The Queue M/M/s The multiserver queue M/M/s is the model used most in analyzing service stations with more than one server such as banks, checkout counters in stores, check-in counters in airports, and the like. The arrival of customers is assumed to follow a Poisson process, and service times are assumed to have an exponential distribution. We will let the number of servers be s, providing service independently of each other. We also assume that the arriving customers form a single queue and the one at the head of the waiting line enters into service as soon as a server is free.

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