# CMPE 250 Project2: Discrete Event Simulation

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## Description

CMPE 250, Data Structures and Algorithms
Introduction
Well, you probably heard the saying that: ”Something never changes.” And one of these things
is: If you are taking CMPE 250, you will be assigned a Discrete Event Simulation project.
Before describing the project here are some definitions for you.
First of all, what is a discrete event simulation?
”A discrete-event simulation (DES) models the operation of a system as a discrete sequence of
events in time. Each event occurs at a particular instant in time and marks a change of state
in the system. Between consecutive events, no change in the system is assumed to occur; thus
the simulation can directly jump in time from one event to the next” as stated in wikipedia. In
other words, DES is the representation of a certain process by simulating certain events which
occur at certain times. Hence in DES, time is not continuous and can be split into intervals
according to the events. As a very simple example a day of a barber can be simulated like this:
• TIME: 09:00 Open the shop.
• TIME: 09:30 Wash the grounds.
• TIME: 11:20 Shave Baker Ali Abi.
• TIME: 12:30 Play backgammon with pharmacist.

.
.
.
Note that in DES the only thing that counts is events and everything else is ignored. In the
case of the barber, till 12:31 only 4 things happened.
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In this project, you are expected to simulate the two algorithms of task scheduling
for the CPU.
Well… But what is task scheduling?
Task scheduling is the concept of delivering processes(tasks,events) to CPU to be handled in
an order, according to a certain rule. Let’s think of the barber case again. Assume that two
customer is waiting for shaving in the queue. First customer arrived early and it would take
1 hour to shave him -he is a hairy guy-, while the other one is a boy and shaving would take
only 10 minutes. So the barber has to make a decision about who to shave first!
And this decision making is actually called as task-scheduling.
Since you must have been comfortable by now, we can move into the -drumroll please…- description of the project!
Description
For the case of this project there will be events that will be needed to processed by CPUs and
output devices(sound, display etc). Since the number of events will be more than the number
of CPUs and output devices, one needs task scheduling algorithms for both CPU and output
devices -otherwise every task can be processed simultaneously-. So we can examine the project
in two parts, First the CPU, second the output devices.
1 CPU part
The events that needs to be processed will first visit the CPU. However, since there will not
be enough CPU for each event, the events should be distributed among the CPUs according to
a rule: Shortest Job First Algorithm (will be explained below). If every CPU is occupied, the
events will wait in a priority queue and once one of the CPU is freed the event that is popped
from the queue will be processed. This procedure will continue until every event is processed
and delivered to the output part. Note that you will be provided with the information of
frequency of each CPU, each task’s arrival time and time needed to process that specific task
in the CPU.
2 Output part
This part is where the events will be processed after CPU part and presented to the user as an
output -display,sound etc.- Just like in the CPU part, since there will be more tasks than the
number of the output devices, the tasks will be scheduled according to a rule: Round Robin
Algorithm(will be explained below). Likewise the CPU part, if the devices are free, the event
will move into the output process, otherwise they will wait in the priority queue. Note that
you will also be given the time needed to process an event in the output part.
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3 Shortest Job First Algorithm
In this algorithm, the event that would take the least time to process, is processed first. In real
world, it is nearly impossible to guess the time of process, but for our purposes every event will
be processed certain amount time which will be given. Therefore, according to this algorithm,
in the barber shop case, the kid will be shaved first, no matter when the hairy guy has arrived!
4 Round Robin Algorithm
In Round Robin, every task is processed for a specific time(quantum) then popped out of CPU
even if it has not finished and pushed back to the priority queue. Since this will cause circular
processing of tasks and it is a ’just’ system, it is called Round Robin Algorithm. Hence if round
robin is applied in the barber shop, the barber would shave the kid for a while (a quantum)
then he would shave the hairy guy, then the kid again and so on.. (It is not a good algorithm
for a barber I suppose.)
and please see the the flow chart below for visualization of the system.
Figure 1: Flow chart of the system
To sum up, you are going to simulate a system that consists of CPU and output devices and
keep track of certain statistics (explained in the Output section) during the simulation to print
them as output.
Input&Output
Input
As input, you are going to have the number of the CPUs and output devices. The frequency of
CPUs and quantum values of the output devices and number of tasks with details of the tasks
in the following format:
• In the first line: An integer N (Number of CPUs).
• Next N lines contain doubles that represent frequency of the each CPU. (For a task, time
to spend in the CPU can be calculated as: CPU work of task / frequency of CPU )
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• Next line contains an integer, the number of output devices units (M).
• Next M lines contain a double, quantum value of each output unit.
• Next line contains an integer, the number of tasks to process
• Remaining lines contain 3 doubles, arrival time, CPU work and output device work of
Output
And you are expected to output the statistics you kept track of each in a new line which should
be:
1. Maximum length of first priority queue
2. Maximum length of second priority queue
3. ID of CPU which has the greatest active time
4. ID of output device which has the greatest active time (Break the ties by choosing the
one with smaller ID. Note that IDs start from 1.)
5. Average wait time of all tasks (Wait time: Time passed in the queues as total.)
6. Longest wait time of all tasks
7. Average time a task spent in the system(It can be calculated as T imeexit − T imearrival
So an example the input file in the table can be visualized as in figure below.
Sample Input File Sample Output File
2 2
1 2
2 2
2 1
5 6.625000
10 15.500000
4 32.500000
0 10 5
1 22 20
2 5 2
3 3 50
Table 1: Sample Input and Output files
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Figure 2: Visualization of the example
1. If two events occurs at the same time, process the one closer to the end first and if they
are at the same distance, process the one at the upper side of the system. (i.e. If one
event will pop up from output device and one event will pop op from CPU handle the
event at the output device first. If two events will pop up from CPUs pop up the event
from the CPU with smaller ID.)
2. For the output devices part, do not pop up the task if no task is waiting in the queue to
be processed even if the quantum has finished.
3. Whenever a unit finishes its job, it immediately fetches the task waiting in the priority
queue connected to the unit. If that queue is empty, the unit goes idle.
4. Whenever more than one idle units are available, the unit with the smallest ID gets the
job. For example, if a task arrives in the CPU and CP U1 and CP U2 are idle, CP U1
starts processing.
5. Try to comprehend the project with all definitions and concepts before start implementing.
DO NOT START CODING RIGHT AWAY! – Learned by experience -. First read
the definitions a couple of times, use links we provided. When you are comfortable with
project in every aspect, simulate some test cases by hand and think of edge cases. Then
start coding.
6. For a better code try to code object oriented. Think of what components can be classes
or structs and what objects you can make use of(For example: Heap). We ensure you it
will lead to much easier and less complicated project.
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Submission Details
You are supposed to use the Git system provided to you for all projects. No other type of
submission will be accepted. Also pay attention to the following points:
• Your code must be compiled by the simple cmake CMakeLists.txt and make commands
with the command:
./project2 inputFile outputFile
• All source codes are checked automatically for similarity with other submissions and
exercises from previous years. Make sure you write and submit your own code.
• Your program will be graded based the correctness of your output and the clarity of the
source code. Correctness of your output will be tested automatically so make sure you
stick with the format described above.
• There are several issues that makes a code piece ’quality’. In our case, you are expected
to use C++ as powerful, steady and flexible as possible. Use mechanisms that affects
these issues positively.
• Make sure you document your code with necessary inline comments, and use meaningful
variable names. Do not over-comment, or make your variable names unnecessarily long.
• Try to write as efficient (both in terms of space and time) as possible.
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