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CPSC 350:Programming Assignment 4: The Waiting Game solution

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Data Structures and Algorithms
The Assignment
Imagine that the student services center (SSC), which houses the registrar, cashier, and
financial aid office, has approached you with the following issues. At certain times during the
day, students arrive in large numbers, each needing to visit one or more offices. If there are not
enough windows open at each, the average student wait times are too long, and they receive
many complaints. On the other hand, if they open too many windows, their staff will be idle for
most of the time, and they will be wasting money. They want you to program a simulation that
will allow them to calculate metrics on student wait times and window idle times given a specific
traffic flow of students through the SSC.
The Simulation
You will model the above problem to meet the SSC’s requirements. As students arrive in the
SSC, they will go to one of the offices they need to visit, and wait in a queue. When a window
becomes available they will exit the queue and remain at the service window for however long
they need. They will then move onto the next office they need to visit, and repeat the process
until they have completed all their tasks. Your first job will be to build a generic doubly-linked list
data structure, from scratch, supporting the usual operations, which we have largely completed
in class. You will then use this linked list to build a generic queue data structure, supporting the
usual operations. You may not use a queue or linked list from the C++ STL libraries. You will
then use your queue implementation to implement the simulation.
Input will be in the form of a command line argument that specifies the location of a text file.
The text file will define at what times students arrive, and what offices they will visit and in what
order. It will have the following format. The first line will be the number of windows open at the
registrar. The second line will be the number of windows open at the cashier. The third line will
be the number of windows open at the financial aid office. The next line will be the time (or
clock tick) at which the next students arrive. The next line will be the number of students that
arrive at that time. The following lines will be the amount of time each student needs at the
registrar, cashier, and financial aid office, respectively, as well as the order they visit them. This
is followed by the next clock tick, number of students, etc. For example, and input of:
2
3
1
1
2
5 1 2 R C F
10 5 1 F R C
3
1
4 2 6 R C F
Means that 2 windows will be open at the registrar, 3 at the cashier, and 1 at the financial aid
office. At time 1, 2 students arrive. The first will need 5 minutes at the registrar, 1 minute at the
cashier, and 2 minutes at financial aid, in that order. The second student will need 10 minutes at
financial aid, 5 minutes at the registrar, and 1 minute at the cashier, in that order. Then, at time
3, 1 student arrives and needs 4 minutes at the registrar, 2 minutes at the cashier, and 6
minutes at financial aid.
When students arrive at the same time and visit the same office first, assume that the student
listed first in the text file is also the first to get into line. If 2 students finish at different offices at
the same time and head to the same office next, assume that they enter the line based on
alphabetical order of the office they are coming from (eg. cashier always beats financial aid
which always beats registrar).
The simulation will start at time 1, and run until all student requests have been addressed,
meaning the queue at each office is empty and no more students are going to arrive.
At the end of the simulation, your program will display (on standard out) the following (labeled)
metrics:
1. The mean student wait time for each office.
2. The longest student wait time for each office.
3. The number of students waiting over 10 minutes total across all offices.
4. The mean window idle time for each office
5. The longest window idle time for each office
6. Number of windows idle for over 5 minutes across all offices.
The Design
Your simulation will consist of the following classes (bolded classes are required):
● DblList – the doubly linked list template class
● ListQueue – the list-based queue template class
● ServiceCenter – models the service center
● Office – models an individual office in the service center
● Window – models a single window in one of the offices
● Customer – models a student coming into the service center
● Any other classes you want to create for the simulation
You should also provide a main.cpp to run the program, which takes the input specification file
as a command line argument.
Rules of Engagement
● You may NOT use any non-primitive data structures other than what we have
implemented in class. You may not use any data structures from the C++ STL. Of
course, to do the file processing you may use any of the standard C++ IO classes.
● For this assignment, you may work in groups of AT MOST 2 students.
● Develop using VSCode and make sure your code runs correctly with g++ using the
course docker container.
● Feel free to use whatever textbooks or Internet sites you want to refresh your memory
with C++ IO operations, just cite them in a README file turned in with your code. All
code you write, of course, must be your own. In your README please be sure to include
the g++ command for compiling your code.
Due Date
This assignment is due at 11:59 pm on 10-25-2022. Submit all your commented code as a zip
file to canvas. The name of the zip file should be LastName_FirstInitial_A4.zip
Grading
Grades will be based on correctness, adherence to the guidelines, and code quality (including
the presence of meaningful comments). An elegant, OO solution will receive much more credit
than procedural spaghetti code. I assume you are familiar with the standard style guide for
C++, which you should follow. (See the course page on Canvas for a C++ style guide and
Coding Documentation Requirements.)
Code that does not follow the specification EXACTLY will receive an automatic 25% deduction.
Code that does not compile will receive an automatic 50% deduction.