SOLUTION:
1. Consider the M/M/1 queue where the arrive rate is λ and the service rate is...
Consider the M/M/1/GD/∞/∞ queuing system where λ and μ are the arrival and server rate, respectively. Suppose customers arrive according to a rate given by λ = 12 customers per hour and that service time is exponential with a mean equal to 3 minutes. Suppose the arrival rate is increased by 20%. Determine the change in the average number of customers in the system and the average time a customer spends in the system.
Consider a simple queuing system in which customers arrive randomly such that the time between successive arrivals is exponentially distributed with a rate parameter l = 2.8 per minute. The service time, that is the time it takes to serve each customer is also Exponentially distributed with a rate parameter m = 3 per minute. Create a Matlab simulation to model the above queuing system by randomly sampling time between arrivals and service times from the Exponential Distribution. If a...
Consider the M/G/1 queue with FIFO service (see Homework 6) Assume that (1) the arrival rate is 1 customer per minute, and (2) the service times are exponentially distributed with average service time 45 seconds. 07. Find the server utilization 88. Find the average value of the waiting time (in minutes). 9. Find the probability that an arriving customer will wait in the queue for at least 1 minute. 10. Find the probability that an arriving customer who finds the...
Derive the stationary distribution of an M/M/2 system where two server have different service rates. A customer that arrives when the system is empty is routed to the faster server
For the following problems compute (a) utilization, (b) average time a customer waits in the queue, (c) average number of customers waiting in the queue, (d) average number of customers in service, (e) the average time a customer spends in the system. Problem 1. An average of 10 cars per hour (with variance 4) arrives at a single-server drive-in teller. Assume that the average service time for each customer is 5.5 minutes (with variance 5). Problem 2. Customers arrive to...
customers arrive according to a Poisson process at rate λ > 0. Assume that service crew start serving a service and it takes a fixed amount of time τ to serve. For t ≧ 0, let X(t) denote the number of customers being served at time t. What is the distribution of X(t)? What is E[X(t)]?
Customers arrive at a service facility according to a Poisson process of rate 5/hour. Let N(t) be the number of customers that have arrived up to time t (t hours) a. What is the probability that there is at least 2 customer walked in 30 mins? b. If there was no customer in the first 30 minutes, what is the probability that you have to wait in total of more than 1 hours for the 1st customer to show up?...
Customers arrive at a service facility with one server according to a Poisson process with a rate of 5 per hour. The service time are i.i.d. exponential r.v.´s, and on the average, the server can serve 7 customers per hour. Suppose that the system is in the stationary regime. (a) What is the probability that at a particular time moment, there will be no queue? (b) What is the probability that a particular time moment, there will be more than...
4. Consider an M/M/1 queueing system with total capacity N 2. Suppose that customers arrive at the rate of λ per hour and are served at a rate of 5 per hour. (a) What should be so that an arriving customer has a 50% chance of joining the queue? (b) With A chosen to satisfy part (a), what percentage of customers who enter the system get served immediately? (a)12.9 customers hour (b)0.38 Stochastic process
Your favorite coffee shop has a steady business such that the customer servicecounter can be modeled as a first-come, first serve M/M/1 queue with a customer arrivalrate λ and a service rate µ during its hours of operation. Assume no customer is waitingin line or in service when the store opens for business in the morning.(a) You happen to be the second customer of the day. What is the mean and variance ofyour total system time (total wait time in...