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  2. Data Interchange Format - Wikipedia

    en.wikipedia.org/wiki/Data_Interchange_Format

    Data Interchange Format (.dif) is a text file format used to import/export single spreadsheets between spreadsheet programs. Applications that still support the DIF format are Collabora Online , Excel , [ note 1 ] Gnumeric , and LibreOffice Calc .

  3. Kendall's notation - Wikipedia

    en.wikipedia.org/wiki/Kendall's_notation

    A M/M/1 queue means that the time between arrivals is Markovian (M), i.e. the inter-arrival time follows an exponential distribution of parameter λ. The second M means that the service time is Markovian: it follows an exponential distribution of parameter μ. The last parameter is the number of service channel which one (1).

  4. G/G/1 queue - Wikipedia

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

    The system is described in Kendall's notation where the G denotes a general distribution for both interarrival times and service times and the 1 that the model has a single server. [ 3 ] [ 4 ] Different interarrival and service times are considered to be independent, and sometimes the model is denoted GI/GI/1 to emphasise this.

  5. 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.

  6. M/G/1 queue - Wikipedia

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

    The Pollaczek–Khinchine formula gives the mean queue length and mean waiting time in the system. [ 9 ] [ 10 ] Recently, the Pollaczek–Khinchine formula has been extended to the case of infinite service moments, thanks to the use of Robinson's Non-Standard Analysis.

  7. 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.

  8. Queueing theory - Wikipedia

    en.wikipedia.org/wiki/Queueing_theory

    The matrix geometric method and matrix analytic methods have allowed queues with phase-type distributed inter-arrival and service time distributions to be considered. [18] Systems with coupled orbits are an important part in queueing theory in the application to wireless networks and signal processing. [19]

  9. 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 ...