Consider an n server system where the service times of server i are exponentially distributed with...
Consider an n server system where the service times of server i are exponentially distributed with rate μi, i = 1,..., n. Suppose customers arrive in accordance with a Poisson process with rate λ, and that an arrival who finds all servers busy does not enter but goes elsewhere. Suppose that an arriving customer who finds at least one idle server is served by a randomly chosen one of that group; that is, an arrival finding k idle servers is equally likely to be served by any of these k.
(a) Define states so as to analyze the preceding as a continuous-time Markov chain.
(b) Show that this chain is time reversible.
(c) Find the limiting probabilities.
Homework Answers
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Consider an n server system where the service times of server i
are exponentially distributed with...
2. [3] Suppose you arrive to a service system with three parallel servers. All servers are busy, ...
2. [3] Suppose you arrive to a service system with three parallel servers. All servers are busy, and there is no customer ahead of you in the queue. As soon as one of the servers is free, you will be served by that server. Service times at each server are exponentially distributed with rates 1, 2, and us. What is the expected time you will spend in the system?
2. [3] Suppose you arrive to a service system with three...
Problem 3 Consider a single-server queueing system that can hold a maximum of two customers exclu...
Problem 3 Consider a single-server queueing system that can hold a maximum of two customers excluding those being served. The server serves customers only in batches of two, and the service time (for a batch) has an exponential distribution with a mean of 1 unit of time. Thus if the server is idle and there is only one customer in the system, then the server must wait for another arrival before beginning service. The customers arrive according to a Poisson...
Consider the M/G/1 queue with FIFO service (see Homework 6) Assume that (1) the arrival rate...
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...
Consider the M/M/1/GD/∞/∞ queuing system where λ and μ are the arrival and server rate, respectively....
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.
The M/M/m/m Server Loss System: Consider the queuing system given by the following state- transition diagram. Each arri...
The M/M/m/m Server Loss System: Consider the queuing system
given by the following state- transition diagram.
Each arriving customer is given a private server, but there is a
maximum of m servers available. If a customer arrives when all m
servers are busy, the customer is denied service and is turned
away. The arrival rate is Poisson with parameter λ and the service
rate is kμ with 1 ≤ k ≤ m as shown. Use the results obtained in Set...
Roblem Consider a single server queueing system where the customers arrive according to a Poisson...
roblem Consider a single server queueing system where the customers arrive according to a Poisson process with a mean rate of 18 per hour, and the service time follows an exponential distribution with a mean of 3 minutes. (1). What is the probability that there are more than 3 customers in the system? (2). Compute L, Lq and L, (3). Compute W, W and W (4). Suppose that the mean arrival rate is 21 instead of 18, what is the...
Multiple Server Waiting Line Model Regional Airlines Assumptions Poisson Arrivals Exponential Service Times Number of Servers...
Multiple Server Waiting Line Model Regional Airlines Assumptions Poisson Arrivals Exponential Service Times Number of Servers Arrival Rate Service Rate For Each Server Operating Characteristics 4 Probability that no customer are in the system, Po 5 Average number of customer in the waiting line, L 6 Average number of customer in the system, L 7 Average time a customer spends in the waiting line, W 18 Average time a customer spends in the system, W 19 Probability an arriving customer...
Homogeneous Poisson process N(t) counts events occurring in a time interval and is characterized by Ņ(0)-0...
Homogeneous Poisson process N(t) counts events occurring in a time interval and is characterized by Ņ(0)-0 and (t + τ)-N(k) ~ Poisson(λτ), where τ is the length of the interval (a) Show that the interarrival times to next event are independent and exponentially distributed random variables (b) A random variable X is said to be memoryless if P(X 〉 s+ t | X 〉 t) = P(X 〉 s) y s,t〉0. that this property applies for the interarrival times if...
4. Consider an M/M/1 queueing system with total capacity N 2. Suppose that customers arrive at...
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
Consider a single-server queueing system with arrival and service details as: Interarrival times: 3, 2, 6,...
Consider a single-server queueing system with arrival and service details as: Interarrival times: 3, 2, 6, 2, 4, 5 Service times: 2, 5, 5, 8, 4, 5 Prepare a table show below for the given data. Stop simulation when the clock reaches 20. Write a Java program, to implement this single-server queueing system, print out the table shown below： You should create a future event list in your Java code, and print out the contents of FE list in each...
2. [3] Suppose you arrive to a service system with three parallel servers. All servers are busy, and there is no customer ahead of you in the queue. As soon as one of the servers is free, you will be served by that server. Service times at each server are exponentially distributed with rates 1, 2, and us. What is the expected time you will spend in the system?
2. [3] Suppose you arrive to a service system with three...
Problem 3 Consider a single-server queueing system that can hold a maximum of two customers excluding those being served. The server serves customers only in batches of two, and the service time (for a batch) has an exponential distribution with a mean of 1 unit of time. Thus if the server is idle and there is only one customer in the system, then the server must wait for another arrival before beginning service. The customers arrive according to a Poisson...
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...
The M/M/m/m Server Loss System: Consider the queuing system
given by the following state- transition diagram.
Each arriving customer is given a private server, but there is a
maximum of m servers available. If a customer arrives when all m
servers are busy, the customer is denied service and is turned
away. The arrival rate is Poisson with parameter λ and the service
rate is kμ with 1 ≤ k ≤ m as shown. Use the results obtained in Set...
roblem Consider a single server queueing system where the customers arrive according to a Poisson process with a mean rate of 18 per hour, and the service time follows an exponential distribution with a mean of 3 minutes. (1). What is the probability that there are more than 3 customers in the system? (2). Compute L, Lq and L, (3). Compute W, W and W (4). Suppose that the mean arrival rate is 21 instead of 18, what is the...
Multiple Server Waiting Line Model Regional Airlines Assumptions Poisson Arrivals Exponential Service Times Number of Servers Arrival Rate Service Rate For Each Server Operating Characteristics 4 Probability that no customer are in the system, Po 5 Average number of customer in the waiting line, L 6 Average number of customer in the system, L 7 Average time a customer spends in the waiting line, W 18 Average time a customer spends in the system, W 19 Probability an arriving customer...
Homogeneous Poisson process N(t) counts events occurring in a time interval and is characterized by Ņ(0)-0 and (t + τ)-N(k) ~ Poisson(λτ), where τ is the length of the interval (a) Show that the interarrival times to next event are independent and exponentially distributed random variables (b) A random variable X is said to be memoryless if P(X 〉 s+ t | X 〉 t) = P(X 〉 s) y s,t〉0. that this property applies for the interarrival times if...
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
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