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  2. Poisson point process - Wikipedia

    en.wikipedia.org/wiki/Poisson_point_process

    A visual depiction of a Poisson point process starting. In probability theory, statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one ...

  3. Queueing theory - Wikipedia

    en.wikipedia.org/wiki/Queueing_theory

    Queueing theory is one of the major areas of study in the discipline of management science. Through management science, businesses are able to solve a variety of problems using different scientific and mathematical approaches. Queueing analysis is the probabilistic analysis of waiting lines, and thus the results, also referred to as the ...

  4. M/M/c queue - Wikipedia

    en.wikipedia.org/wiki/M/M/c_queue

    In queueing theory, a discipline within the mathematical theory of probability, the M/M/c queue (or Erlang–C model [1]: 495 ) is a multi-server queueing model. [2] In Kendall's notation it describes a system where arrivals form a single queue and are governed by a Poisson process, there are c servers, and job service times are exponentially distributed. [3]

  5. M/M/1 queue - Wikipedia

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

    Arrivals occur at rate λ according to a Poisson process and move the process from state i to i + 1. Service times have an exponential distribution with rate parameter μ in the M/M/1 queue, where 1/μ is the mean service time. All arrival times and services times are (usually) assumed to be independent of one another. [2]

  6. M/G/1 queue - Wikipedia

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

    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 M arkovian (modulated by a Poisson process), service times have a G eneral distribution and there is a single server. [1] The model name is written in Kendall's notation, and is an extension of the M/M ...

  7. M/M/∞ queue - Wikipedia

    en.wikipedia.org/wiki/M/M/%E2%88%9E_queue

    In queueing theory, a discipline within the mathematical theory of probability, the M/M/∞ queue is a multi-server queueing model where every arrival experiences immediate service and does not wait. [1] In Kendall's notation it describes a system where arrivals are governed by a Poisson process, there are infinitely many servers, so jobs do ...

  8. Burke's theorem - Wikipedia

    en.wikipedia.org/wiki/Burke's_theorem

    In queueing theory, a discipline within the mathematical theory of probability, Burke's theorem (sometimes the Burke's output theorem [1]) is a theorem (stated and demonstrated by Paul J. Burke while working at Bell Telephone Laboratories) asserting that, for the M/M/1 queue, M/M/c queue or M/M/∞ queue in the steady state with arrivals is a Poisson process with rate parameter λ:

  9. 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. Kendall proposed describing queueing models using three factors written A/S/ c in 1953 [1] where A denotes ...