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COMP SCI 3004/7064 - Operating Systems Assignment

创建日期：2024-08-23 15:25:25

所属分类：计算机computer science

标签： COMP SCI 7064

Operating Systems Assignment

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COMP SCI 3004/7064 - Operating Systems Assignment 1

Important Notes Handins:

– For undergraduate students, you may do this assignment as a team of two students

and hand in one submission per team.

– For postgraduate students, you have to do this assignment individually and make

individual submissions.

– All implementations have to be done in C++.

– You need to submit your source code using the web submission system. You should

attach you and your partner’s name and student number in your submission.

– Late submissions will attract a penalty: the maximum mark you can obtain will be

reduced by 25% per day (or part thereof) past the due date or any extension you are

granted.

Marking scheme:

– 20 marks for 10 randomly generated tests (2 marks per test).

If you have any questions, please send them to the student discussion forum. This way you

can all help each other and everyone gets to see the answers.

The assignment

The aim of this assignment is to improve your learning experience in the process scheduling

algorithms. You are required to design an online ticketing system for Coopers Stadium. Specifi-

cally, there are two seat sections: red section for public booking via this system; non-red section

for private booking via hot line. Figure 1 shows the distribution of the seat sections.

In the system, all the customers are grouped into seven priority classes(numbers), ranged

from 1 to 7, according to their loyalty (accumulated points) to this ticketing system. A smaller

priority number indicates a higher priority. All ticketing processes (purchase/cancellation) generated

by a customer are assigned with the same priority number of that customer. To maximise

the system service performance, you are required to implement a scheduling algorithm using

multi-level queue strategy with two queues: a high priority Queue 1 and a low priority Queue

2. Queue 1 has absolute priority over Queue 2. In other words, customer request in Queue 2

will only be processed if there is no customer in Queue 1. There is a threshold (=3) that is

used to determine whether a customer should remain in Queue 1 (priority number ≤ threshold)

or Queue 2 (priority number > threshold). Detailed actions in these two queues are listed below:

Queue 1: This is the high priority queue(priority number ≤ threshold). Customers in this

queue are treated in the way of combined Highest Priority First (HPF) and Weighted Round

Robin (WRR — definition see below) on priority as follows: Select the highest priority customer

Figure 1: Stadium Map.

(customers with the same priority are processed in their arrival order), and then process this

customer’s request for a ticket quota of N =

weighted time quantum

5 time units tickets non-preemptively, then

move this customer to the end of (the priority-subqueue of) Queue 1, where

weighted time quantum = (8 customer’s priority number) × 10

1 ticket costs 5 time units to process.

customer’s priority number is the customer’s current priority number.

Weighted Round Robin (WRR): Given n processes P1, P2, . . . , Pn, where process Pi has a weight

wi (1 ≤ i ≤ n), W RR allocates Pi a weighted time quantum of wi time units (i.e. a share of P win i=1 wi

CPU time). In this assignment, to simplify the implementation, a process’ weight

is (8 customer’s priority number), and customer’s priority number is the customer’s current

priority number.

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