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M/M/1-kö: Enkelservermodellen för kösystem×M/M/c-kö: Modell för kösystem med flera servrar×
ÄmnesområdeOperationsanalysOperationsanalys
FamiljRegression modelRegression model
Ursprungsår19531998
UpphovspersonA. K. Erlang; David Kendall (notation)Queueing-theory tradition; Gross & Harris
TypStochastic queueing modelMulti-server Markovian queueing model
UrsprungskällaKendall, D. G. (1953). Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain. The Annals of Mathematical Statistics, 24(3), 338–354. DOI ↗Gross, D., & Harris, C. M. (1998). Fundamentals of Queueing Theory (3rd ed.). Wiley. ISBN: 978-0-471-17083-9
AliasSingle-Server Markovian Queue, Birth-Death Queue, Poisson Queue, M/M/1 Kuyruk ModeliMulti-Server Erlang Queue, c-Server Markovian Queue, Erlang-C Queue, Çok Sunuculu M/M/c Kuyruğu
Närliggande33
SammanfattningThe M/M/1 queue is the foundational single-server queueing model in which customers arrive according to a Poisson process with rate λ, are served one at a time by a single server with exponentially distributed service times at rate μ, and wait in an infinite-capacity first-come-first-served queue. Formalized within the Kendall notation framework by David Kendall in 1953, building on A. K. Erlang's early twentieth-century telephone traffic work, it yields closed-form steady-state performance measures when the traffic intensity ρ = λ/μ is less than one.The M/M/c queue is a multi-server stochastic model in which customers arrive according to a Poisson process at rate λ, are served by c identical servers each with exponentially distributed service times at rate μ, and wait in a single common queue when all servers are busy. Systematized within classical queueing theory and thoroughly treated by Gross and Harris (1998), it extends the simpler M/M/1 model to settings with parallel servers, making it the foundational tool for capacity planning in service systems.
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ScholarGateJämför metoder: M/M/1 Queue · M/M/c Queue. Hämtad 2026-06-15 från https://scholargate.app/sv/compare