class MMc_Queue extends Error
The MMc_Queue
class is used to solve single node Markovian Queueing problems.
It models a service station consisting of one queue and 'c' servers, i.e.,
an M/M/c queue. The arrivals are Poisson and the service time distribution
is Exponential.
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- See also
also
MMck_Queue
to model finite capacity queues.also
MGc_Queue
to model queues with general service time distributions. ------------------------------------------------------------------------------
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- new MMc_Queue(lambda: Double, mu: Double, c: Int = 1)
- lambda
the arrival rate
- mu
the service rate
- c
the number of servers
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- val _1_a: Double
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- val c_fac: Double
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- val l_q: Double
Expected length of the waiting queue.
- val l_s: Double
Expected length/number in Service.
- val l_y: Double
Expected length/number in sYstem.
- final def ne(arg0: AnyRef): Boolean
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- def prob_0: Double
Probability system is empty.
- def report(): Unit
Report the results.
- val rho: Double
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- final def synchronized[T0](arg0: => T0): T0
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- val t_q: Double
Expected time in the waiting Queue (using Little's Law).
- val t_s: Double
Expected time in Service.
- def t_wait: Double
- val t_y: Double
Expected time in the sYstem.
- def toString(): String
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- def view(): Unit
View/check intermediate results.
- final def wait(arg0: Long, arg1: Int): Unit
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