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  2. Queueing theory - Wikipedia

    en.wikipedia.org/wiki/Queueing_theory

    The main queueing models that can be used are the single-server waiting line system and the multiple-server waiting line system, which are discussed further below. These models can be further differentiated depending on whether service times are constant or undefined, the queue length is finite, the calling population is finite, etc. [ 5 ]

  3. Markovian arrival process - Wikipedia

    en.wikipedia.org/wiki/Markovian_arrival_process

    In queueing theory, a discipline within the mathematical theory of probability, a Markovian arrival process (MAP or MArP [1]) is a mathematical model for the time between job arrivals to a system. The simplest such process is a Poisson process where the time between each arrival is exponentially distributed .

  4. Discrete-event simulation - Wikipedia

    en.wikipedia.org/wiki/Discrete-event_simulation

    A common exercise in learning how to build discrete-event simulations is to model a queueing system, such as customers arriving at a bank teller to be served by a clerk. In this example, the system objects are Customer and Teller, while the system events are Customer-Arrival, Service-Start and Service-End. Each of these events comes with its ...

  5. Ed Lazowska - Wikipedia

    en.wikipedia.org/wiki/Ed_Lazowska

    He co-authored the definitive textbook on computer system performance analysis using queuing network models, [4] contributed to several early object-oriented distributed systems, and co-developed widely used approaches to kernel and system design in areas such as thread management, high-performance local and remote communication, load sharing ...

  6. Mean value analysis - Wikipedia

    en.wikipedia.org/wiki/Mean_value_analysis

    In queueing theory, a discipline within the mathematical theory of probability, mean value analysis (MVA) is a recursive technique for computing expected queue lengths, waiting time at queueing nodes and throughput in equilibrium for a closed separable system of queues.

  7. M/G/1 queue - Wikipedia

    en.wikipedia.org/wiki/M/G/1_queue

    In queueing theory, a discipline within the mathematical theory of probability, an M/G/1 queue is a queue model where arrivals are Markovian (modulated by a Poisson process), service times have a General distribution and there is a single server. [1]

  8. Kendall's notation - Wikipedia

    en.wikipedia.org/wiki/Kendall's_notation

    Waiting queue at Ottawa station. In queueing theory, a discipline within the mathematical theory of probability, Kendall's notation (or sometimes Kendall notation) is the standard system used to describe and classify a queueing node. D. G.

  9. M/M/1 queue - Wikipedia

    en.wikipedia.org/wiki/M/M/1_queue

    An M/M/1 queueing node. In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall's notation.