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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the concept of a Poisson process in network traffic?
π‘ Hint: Think about traffic patterns in a smooth system.
Question 2
Easy
Define traffic intensity (Ο) and its formula.
π‘ Hint: Both components are rates.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the parameter Ο represent in queuing theory?
π‘ Hint: Think about the portion of a pie that is eaten.
Question 2
True or False: A bursty arrival process is generally easier to manage than a Poisson process.
π‘ Hint: Visualize a wave of water versus steady raindrops.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a network with an average arrival rate of 200 packets per second and a service rate of 300 packets per second, calculate traffic intensity. What are the implications if traffic intensity rises to 0.9?
π‘ Hint: Remember the thresholds for stable operations!
Question 2
Explain how utilizing an M/M/1 queue could differ from employing an M/M/c queue under heavy load conditions. What would be your recommendations?
π‘ Hint: Think about how an overloaded single cash register would perform in a busy store.
Challenge and get performance evaluation