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.
------------------------------------------------------------------------------
- See also
also
MGc_Queue
to model queues with general service time distributions. ------------------------------------------------------------------------------also
MMck_Queue
to model finite capacity queues.
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Instance Constructors
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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
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
==(arg0: Any): Boolean
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val
_1_a: Double
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final
def
asInstanceOf[T0]: T0
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val
c_fac: Double
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def
clone(): AnyRef
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eq(arg0: AnyRef): Boolean
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equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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val
l_q: Double
Expected length of the waiting queue.
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val
l_s: Double
Expected length/number in Service.
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val
l_y: Double
Expected length/number in sYstem.
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final
def
ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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def
notifyAll(): Unit
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def
prob_0: Double
Probability system is empty.
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def
report(): Unit
Report the results.
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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).
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val
t_s: Double
Expected time in Service.
- def t_wait: Double
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val
t_y: Double
Expected time in the sYstem.
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def
toString(): String
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def
view(): Unit
View/check intermediate results.
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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