- Item 1 In my third year in HoChiMinh University, I have a Subject called System Performance Evaluation
- Item 2 I learnt some lessons about Methods of Evaluating the Performance (time, resource, complexipility, accuracy, applicability) of Systems
- Item 3 And my Assignment is to simulation a system defined: consists of 2 M/M/1 queues, when a Program leaves 1st Queue, it will come in 2nd Queue with rate 0.8, and so, 0.2 is the rate it comeback to 1st Queue.
- Item 4 The Goal of my Work is Simulating the Action of the System in fixed time range and Compare the Simulated System Configuration to the Theoritical
- Item 5 I simulated the System by Python on Visual Studio Code (You can view my code in .py file)
- Item 6 My Report is written by Vietnamese to it's quite inconvenient for almost to check-out my repository
- Item 7 Please contact me thourgh Gmail if you want more either information or explaination about my work
- Item 8 Regard!
M/M/1 queue model: -The number of customers arriving in a time interval t follows a Poisson Process with parameter λ.
-The interval between any two successive arrivals is exponentially distributed with parameter λ.
-The time taken to complete a single service is exponentially distributed with parameter μ.
-The number of server is one.
-Although not explicitly stated both the population and the queue size can be infinity.
-The order of service is assumed to be FIFO. - Item 9 Calculating Formula of Theoritical System Configuration: https://virtuaq.com/blog/2017-11-23-basics-of-queuing-theory
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A Queue Network include 2 M/M/1 queues with return rate P11 = 0.2
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