n all programming assignments in this course, it is NOT allowed to use any library or package function to directly generate random numbers that follow Poisson Distribution, Exponential Distribution, or any other advanced distributions. --- Writing such random number generators is a main purpose of this assignment. The only exception that you are allowed to directly use is the ones that generate random numbers that follow a Uniform Distribution. E.g., rand() in C. Using a pseudo random number generation function (e.g., rand() in C or other equivalent functions in other languages) that generates uniformly distributed random numbers, generate a workload for a system that is composed of 1000 processes. You can assume that processes arrive with an expected average arrival rate of 2 processes per second that follows a Poisson Distribution and the service time (i.e., requested duration on the CPU) for each process follows an Exponential Distribution with an expected average service time of 1 second. Your outcome would be printing out a list of tuples in the format of . You can assume that process IDs are assigned incrementally when processes arrive and that they start at 1. Based on your actual experiment outcome, also answer the following question: what are the actual average arrival rate and actual average service time that were generated?

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

Problem 1PE

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In all programming assignments in this course, it is NOT allowed to use any library or
package function to directly generate random numbers that follow Poisson Distribution,
Exponential Distribution, or any other advanced distributions. --- Writing such random
number generators is a main purpose of this assignment.
The only exception that you are allowed to directly use is the ones that generate random
numbers that follow a Uniform Distribution. E.g., rand() in C.

Using a pseudo random number generation function (e.g., rand() in C or other equivalent
functions in other languages) that generates uniformly distributed random numbers,
generate a workload for a system that is composed of 1000 processes. You can assume
that processes arrive with an expected average arrival rate of 2 processes per second that
follows a Poisson Distribution and the service time (i.e., requested duration on the CPU)
for each process follows an Exponential Distribution with an expected average service
time of 1 second. Your outcome would be printing out a list of tuples in the format of
<process ID, arrival time, requested service time>. You can assume that process IDs are
assigned incrementally when processes arrive and that they start at 1.
Based on your actual experiment outcome, also answer the following question: what are
the actual average arrival rate and actual average service time that were generated?

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