- #1
lahanadar
- 22
- 2
Hi, does anyone know how to model probability density function, b(x), of a system that has two parallel servers:
-The first is selected by the customer with probability [itex]p[/itex], it has an exponential rate of [itex]\mu[/itex].
-The second server is selected by the customer with probability [itex]1-p[/itex], it has a deterministic rate of [itex]k[/itex].
-When a customer chooses a server, another servers waits until the customer being served leaves.
If the second server were an exponential rate server, it would simply be an M/Er=2/1 system but now I don't know how to model this. Can anyone help me, please?
-The first is selected by the customer with probability [itex]p[/itex], it has an exponential rate of [itex]\mu[/itex].
-The second server is selected by the customer with probability [itex]1-p[/itex], it has a deterministic rate of [itex]k[/itex].
-When a customer chooses a server, another servers waits until the customer being served leaves.
If the second server were an exponential rate server, it would simply be an M/Er=2/1 system but now I don't know how to model this. Can anyone help me, please?