enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. G/G/1 queue - Wikipedia

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

    In queueing theory, a discipline within the mathematical theory of probability, the G/G/1 queue represents the queue length in a system with a single server where interarrival times have a general (meaning arbitrary) distribution and service times have a (different) general distribution. [1] The evolution of the queue can be described by the ...

  3. 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 ...

  4. G/M/1 queue - Wikipedia

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

    G/M/1 queue. In queueing theory, a discipline within the mathematical theory of probability, the G/M/1 queue represents the queue length in a system where interarrival times have a general (meaning arbitrary) distribution and service times for each job have an exponential distribution. [1] The system is described in Kendall's notation where the ...

  5. M/M/1 queue - Wikipedia

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

    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] A single server serves customers one at a time from the front of the queue, according to a first-come, first-served ...

  6. Lindley equation - Wikipedia

    en.wikipedia.org/wiki/Lindley_equation

    Lindley's integral equation is a relationship satisfied by the stationary waiting time distribution F(x) in a G/G/1 queue. = ()Where K(x) is the distribution function of the random variable denoting the difference between the (k - 1)th customer's arrival and the inter-arrival time between (k - 1)th and kth customers.

  7. 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 ...

  8. Kendall's notation - Wikipedia

    en.wikipedia.org/wiki/Kendall's_notation

    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 the time between arrivals to the ...

  9. Kingman's formula - Wikipedia

    en.wikipedia.org/wiki/Kingman's_formula

    Kingman's approximation states: () (+)where () is the mean waiting time, τ is the mean service time (i.e. μ = 1/τ is the service rate), λ is the mean arrival rate, ρ = λ/μ is the utilization, c a is the coefficient of variation for arrivals (that is the standard deviation of arrival times divided by the mean arrival time) and c s is the coefficient of variation for service times.