Question

In: Finance

Consider a computer system with Poisson job-arrival stream at an average of 10 jobs per 4...

Consider a computer system with Poisson job-arrival stream at an average of 10 jobs per 4 minutes. Determine the probability that in any one-minute interval there will be (20 points):

    1. Exactly 5 jobs
    1. At least 3 jobs
    1. Between 2 to 5 jobs inclusive

Solutions

Expert Solution

Job arrival = 10 jobs per 4 minutes

Lambda = Job arrival rate per minute = 10 / 4 = 2.50

Lambda = 2.50

Poisson Distribution: Probability (X = x) = e-Lambda * Lambdax / x! | where X is number of events to occur in a fixed-time interval.

where Lambda is the average job arrival rate and x = 0,1,2... infinity

a) Exactly 5 jobs

For exactly 5 jobs, X = 5

P (X = 5) = e-2.5 * (2.55) / 5! = 0.0821 * 97.6563 * 1 / 120

P (X = 5) = 0.0668 or 6.68%

Hence, Probability of Exactly 5 jobs in any one-minute interval is 6.68% or 0.0668.

b) At least 3 jobs

For at least 3 jobs, X >= 3 | X should be greater than equal to 3. We can find the Probability by first finding the cumulative probability of 2 jobs (which includes 1 job's probability) and subtract it from 1 to find probability of 3 or more.

P (X >= 3) = 1 - (P (X = 2) + P (X = 1) + P (X = 0))

P (X = 2) = e-2.5 * (2.52) / 2! = 0.0821 * 6.25 / 2

P (X = 2) = 0.2565

P (X = 1) = e-2.5 * (2.51) / 1! = 0.0821 * 2.5 / 1

P (X = 1) = 0.2052

P (X = 0) = e-2.5 * (2.50) / 0! = 0.0821

P (X = 0) = 0.0821

Now putting values of P (X = 2) and P (X = 1) in P (X > = 3) formula.

P (X >= 3) = 1 - (0.2565 + 0.2052 + 0.0821) = 1 - 0.5438

P (X >= 3) = 0.4562 or 45.62%

Hence, Probability of at least 3 jobs in any one-minute interval is 45.62% or 0.4562.

c) Between 2 and 5 jobs inclusive

For jobs between 2 and 5, We need to calculate P (2 >= X <=5)

As We need at least 5, we can calculate Cumulative Probability of 5 and then exclude Probability of 1 and 0 to keep only from 2 to 5.

P (2 >= X <= 5) = Probability of at least 5 - Probability of 1 - Probability of 0

P (2 >= X <= 5) = P (X = 5) + P (X = 4) + P (X = 3) + P (X = 2) + P (X = 1) + P (X = 0) - P (X = 1) - P (X = 0)

P (2 >= X <= 5) = P (X = 5) + P (X = 4) + P (X = 3) + P (X = 2)

P (X = 5) = e-2.5 * (2.55) / 5! = 0.0821 * 97.6563 * 1 / 120 = 0.0668

P (X = 4) = e-2.5 * (2.54) / 4! = 0.0821 * 39.0625 * 1 / 24 = 0.1336

P (X = 3) = e-2.5 * (2.53) / 3! = 0.0821 * 15.6250 * 1 / 6 = 0.2138

P (X = 2) = e-2.5 * (2.52) / 2! = 0.0821 * 6.25 * 1 / 2 = 0.2565

P (2 >= X <= 5) = 0.0668 + 0.1336 + 0.2138 + 0.2565

P (2 >= X <= 5) = 0.6707 or 67.07%

Hence, Probability of between 2 and 5 jobs inclusive in any one-minute interval is 67.07% or 0.6707.


Related Solutions

Customers arrive at a two pump system at Poisson rate two per hour. An arrival finding...
Customers arrive at a two pump system at Poisson rate two per hour. An arrival finding the system empty is equally likely to enter service with either pump. An arrival finding one customer in the system will enter service with the idle pump. An arrival finding two others in the system will wait in line for the first free pump. An arrival finding three in the system will not enter. Two service times are exponential with rates one per hour...
Find each Poisson probability, using a mean arrival rate of 10 arrivals per hour.    (a)...
Find each Poisson probability, using a mean arrival rate of 10 arrivals per hour.    (a) Seven arrivals. (Round your answer to 4 decimal places.)      Poisson probability        (b) Three arrivals. (Round your answer to 4 decimal places.)      Poisson probability        (c) Fewer than five arrivals. (Round your answer to 4 decimal places.)      Poisson probability       (d) At least 11 arrivals. (Round your answer to 4 decimal places.)      Poisson probability   
4. * Suppose that jobs are sent to a printer at an average rate of 10...
4. * Suppose that jobs are sent to a printer at an average rate of 10 per hour. (a) Let X = the number of jobs sent in an hour. What is the distribution of X? Give the name and parameter values. (b) What is the probability that exactly 8 jobs are sent to the printer in an hour? (c) Let X = the number of jobs sent in a 12 min period. What is the distribution of X? Give...
Customers arrive at a two-server system at a Poisson rate λ=5. An arrival finding the system...
Customers arrive at a two-server system at a Poisson rate λ=5. An arrival finding the system empty is equally likely to enter service with either server. An arrival finding one customer in the system will enter service with the idle server. An arrival finding two others will wait in line for the first free server. The capacity of the system is 3. All service times are exponential with rate µ=3, and once a customer is served by either server, he...
Service calls arriving at an electric company follow a Poisson distribution with an average arrival rate...
Service calls arriving at an electric company follow a Poisson distribution with an average arrival rate of 70 per hour. Using the normal approximation to the Poisson, find the probability that the electric company receives at most 58 service calls per hour. Round your answer to four decimal places, if necessary.
3. You receive emails by a Poisson Arrival Process at a rate of 12 emails per...
3. You receive emails by a Poisson Arrival Process at a rate of 12 emails per hour. (a) (6 points) Find the probability that you receive exactly 3 emails between 4:10 PM and 4:20 PM. (b) (6 points) You start checking your email at 10:00 AM. What is the expected time of your first email? (c) (9 points) Given that you receive exactly 10 emails between 4:00 PM and 5:00 PM, what is the (conditional) distribution of the number of...
A queuing system with a Poisson arrival rate and exponential service time has a single queue,...
A queuing system with a Poisson arrival rate and exponential service time has a single queue, two servers, an average arrival rate of 60 customers per hour, and an average service time of 1.5 minutes per customer. Answer the following questions. Show ALL formulas and calculations used in your response. The manager is thinking of implementing additional queues to avoid an overloaded system. What is the minimum number of additional queues required? Explain. How many additional servers are required to...
A queuing system with a Poisson arrival rate and exponential service time has a single queue,...
A queuing system with a Poisson arrival rate and exponential service time has a single queue, two servers, an average arrival rate of 60 customers per hour, and an average service time of 1.5 minutes per customer. The manager is thinking of implementing additional queues to avoid an overloaded system. What is the minimum number of additional queues required? Explain. How many additional servers are required to ensure the utilization is less than or equal to 50%? Explain. If the...
Jobs are sent to a printer at an average rate of 6 jobs per hour. (a)...
Jobs are sent to a printer at an average rate of 6 jobs per hour. (a) What is the expected time between jobs? [Note: Give the exact answer either in hours or in minutes.] (b) What is the probability that the next job is sent within 4 minutes? [Note: Round the answer to four decimal places.]
(9) Assume on average 10 passengers arrive per minute. Assuming poisson arrivals and departures, estimate the...
(9) Assume on average 10 passengers arrive per minute. Assuming poisson arrivals and departures, estimate the gain (if any) in ‘average time spent in system per passenger’ if TSA decides to replace 4 type-A security scanners with 3 type-B security scanners. The service rate per scanner for type-A scanners is 3 passengers per minute and type-B scanners is 5 passengers per minute?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT