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The Runs The simulator should take 2 command-line arguments (or write a "simulator-run" function that takes 2 arguments, if command-line stuffs are too difficult to you): The first is the average arrival rate and the second is the average service time. We will vary the average arrival rate, λ, of processes from 10 processes per second to 30 processes per second with increment step of 1 (i.e., we are doing 21 simulation runs for 10, 11, λ = 12, ... λ=30, respectively). The service time is generated according to an Exponential Distribution with an average service time of 0.04 second. For each run, you would need to output the four itemized metrics above. The Plots The report would include a brief description of the results and show a single plot for each one of the above metrics (with 2 as the x-axis). That is, each plot would have 21 data point, and there are four plots (one for each metrics). A brief description and/or discussion on the interpretation of the plots should also be included.

The Runs The simulator should take 2 command-line arguments (or write a "simulator-run" function that takes 2 arguments, if command-line stuffs are too difficult to you): The first is the average arrival rate and the second is the average service time. We will vary the average arrival rate, λ, of processes from 10 processes per second to 30 processes per second with increment step of 1 (i.e., we are doing 21 simulation runs for 10, 11, λ = 12, ... λ=30, respectively). The service time is generated according to an Exponential Distribution with an average service time of 0.04 second. For each run, you would need to output the four itemized metrics above. The Plots The report would include a brief description of the results and show a single plot for each one of the above metrics (with 2 as the x-axis). That is, each plot would have 21 data point, and there are four plots (one for each metrics). A brief description and/or discussion on the interpretation of the plots should also be included.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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The Runs The simulator should take 2 command-line arguments (or write a "simulator-run" function that takes 2 arguments, if command-line stuffs are too difficult to you): The first is the average arrival rate and the second is the average service time. We will vary the average arrival rate, λ, of processes from 10 processes per second to 30 processes per second with increment step of 1 (i.e., we are doing 21 simulation runs for 10, 11, λ = 12, ... λ=30, respectively). The service time is generated according to an Exponential Distribution with an average service time of 0.04 second. For each run, you would need to output the four itemized metrics above. The Plots The report would include a brief description of the results and show a single plot for each one of the above metrics (with 2 as the x-axis). That is, each plot would have 21 data point, and there are four plots (one for each metrics). A brief description and/or discussion on the interpretation of the plots should also be included.
Transcribed Image Text:The Runs The simulator should take 2 command-line arguments (or write a "simulator-run" function that takes 2 arguments, if command-line stuffs are too difficult to you): The first is the average arrival rate and the second is the average service time. We will vary the average arrival rate, λ, of processes from 10 processes per second to 30 processes per second with increment step of 1 (i.e., we are doing 21 simulation runs for 10, 11, λ = 12, ... λ=30, respectively). The service time is generated according to an Exponential Distribution with an average service time of 0.04 second. For each run, you would need to output the four itemized metrics above. The Plots The report would include a brief description of the results and show a single plot for each one of the above metrics (with 2 as the x-axis). That is, each plot would have 21 data point, and there are four plots (one for each metrics). A brief description and/or discussion on the interpretation of the plots should also be included.
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