class MGc_Queue extends MMc_Queue with Error
The MGc_Queue
class is used to solve single node Queueing problems.
It models a service station consisting of one queue and 'c' servers, i.e.,
an M/G/c queue. The arrivals are Poisson and the service time distribution
is General.
------------------------------------------------------------------------------
- See also
also
MMck_Queue
to model finite capacity M/M/c/k queues. ------------------------------------------------------------------------------also
MMc_Queue
to model Markovian /M/M/c queues.
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Instance Constructors
-
new
MGc_Queue(lambda: Double, mu: Double, c: Int = 1, cv2: Double = 1.0)
- lambda
the arrival rate
- mu
the service rate
- c
the number of servers
- cv2
the coefficient of variations squared (variance / mean^2)
Value Members
-
final
def
flaw(method: String, message: String): Unit
- Definition Classes
- Error
-
val
l_q: Double
Expected length of the waiting queue from Little's Law.
-
val
l_s: Double
Expected length/number in Service.
Expected length/number in Service.
- Definition Classes
- MMc_Queue
-
val
l_y: Double
Expected length/number in sYstem.
-
def
prob_0: Double
Probability system is empty.
Probability system is empty.
- Definition Classes
- MMc_Queue
-
def
report(): Unit
Report the results.
Report the results.
- Definition Classes
- MMc_Queue
-
val
t_q: Double
Expected time in the waiting Queue from (1) Pollaczek-Khinchin for 'c = 1' and Kingman's approximation for 'c > 1'.
-
val
t_s: Double
Expected time in Service.
Expected time in Service.
- Definition Classes
- MMc_Queue
-
def
t_wait: Double
- Definition Classes
- MMc_Queue
-
val
t_y: Double
Expected time in the sYstem.
-
def
view(): Unit
View/check intermediate results.
View/check intermediate results.
- Definition Classes
- MMc_Queue