Rough_Queuing

Question 1

LAMBDA follows what distribution
-arrival rate

Answer 1

poisson

Question 2

what distribution does mufollow
-service or service time

Answer 2

exponetial

Question 3

what is the relationship between poisson and exponential

Answer 3

lambda, and 1/lambda

Question 4

what is service rate

Answer 4

number of customers per hour

Question 5

what is service time

Answer 5

HOW LONG IT TAKES TO SERVE A CUSTOMER

Question 6

we cant gave 1.5 customers in an hour but could lambda be 1.5

Answer 6

yes! it is the average

Question 7

poisson and exponential dist
->which is discrete which is continuous

Answer 7

discrete=poison
contin=exponential

Question 8

What does M/G/1 mean

Answer 8

arrival distribution possion, general distributions of service times, 1 server

Question 9

why does the multi server system perform better?

Answer 9

because one server could be idle, and as soon as a client comes in, they can be served immediately

Question 10

why do stores have the multiple single-server system?

Answer 10

because of those impulse purchases at the checkouts

Question 11

how to know if the system is stable (slide 77)

Answer 11

if the lambda is smaller than the mu