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BN317 - Cloud Networks

Credit points: 15 credit points

Workload: 48 hours

Prerequisite: BN206 System Administration

Co-requisite: N/A

Aims & objectives

This is a core unit out of a total of 24 units in the Bachelor of Networking (BNet). This unit addresses the BNet course learning outcomes and complements other courses in a related field by developing students’ knowledge and skills in platform technologies. For further course information refer to: https://mit.edu.au/study-with-us/programs/bachelor-networking. This unit is part of the AQF Level 7 (BNet) courses.
This unit provides the concepts and principles of cloud computing. The unit has more emphasis on cloud infrastructure, management and security and less emphasis on physical host configuration. This unit will cover the following areas:

  • Cloud computing
  • Virtual hardware
  • Migration to the cloud
  • Cloud connectivity and troubleshooting 
  • Cloud storage and security 
  • Cloud performance
  • Cloud automation 
     

Learning outcomes

At the completion of this unit students should be able to:

  • Understand and explain cloud computing and its components and operation.
  • Understand and analyse several cloud computing architectures used for building cloud-based solutions.
  • Design and implement efficient, scalable, reliable, and highly available cloud-based solutions.
  • Understand virtualisation and cloud computing technologies. 
  • Identify virtualisation and cloud computing technologies combined to deliver a business advantage.

Weekly topics

This unit will cover the content below:

Week # Lecture Topics Laboratory Topics
1 Lecture 1 Introduction to Cloud Computing Laboratory 1 Cloud Deployment Models
2 Lecture 2 Virtual Hardware Laboratory 2 Cloud Resource Capacity Planning
3 Lecture 3 Migration to the Cloud Laboratory 3 Analysing Business Requirements for a Cloud Solution
4 Lecture 4 Cloud Networking Laboratory 4 Configuring and Managing Cloud Identities
5 Lecture 5 Cloud Connectivity and Troubleshooting Laboratory 5 Cloud Networking Concepts
6 Lecture 6 Securing Cloud Resources Laboratory 6 Securing Cloud Infrastructure Resources In-Class Test (10%)
7 Lecture 7 Identity and Access Management Laboratory 7 Data Security and Compliance in the Cloud
8 Lecture 8 Cloud Storage Laboratory 8 Cloud Security Assessments and Tools
9 Lecture 9 Managing Cloud Performance Laboratory 9 Cloud Solution Integration
10 Lecture 10 Cloud Automation Laboratory 10 Provisioning a Public Cloud Storage Solutions
11 Lecture 11 Cloud Automation Case Study Laboratory 11 Provisioning Private Cloud Storage Solutions
12 Lecture 12 Revision of weekly lectures from week 1 to 11 Laboratory 12 Deploying Cloud Networking Solutions

Assessment

Assessment Task Due Date A B Learning Outcomes Assessed
Formative Assessment Week 3 10%   a
Contribution and Participation Weeks 1-12 10%   a-e
Class Test Week 6   10% b-c
Assignment 2 Week 11 20%   a-d
Final Examination (2 hours) TBA   50% a-e
TOTALS   40% 60%  

Task Type: Type A: unsupervised, Type B: supervised

Contribution and participation (10%)
This unit has class participation as an assessment. The assessment task and marking rubric will follow the Guidelines on Assessing Class Participation (https://www.mit.edu.au/about-us/governance/institute-rules- policies-and-plans/policies-procedures-and-guidelines/Guidelines_on_Assessing_Class_Participation). Further details will be provided in the assessment specification on the type of assessment tasks and the marking rubrics.

Textbook and reference materials

Note: Students are required to purchase the prescribed textbook and have it available each week in class.

Prescribed Textbook:

  • J. West, CompTIA Cloud+ Guide to Cloud Computing. Cengage Learning, 2022.

Other recommended references:

  • R. McHaney, Cloud Technologies: An Overview of Cloud Computing Technologies for Managers. United Kingdom: Wiley 2021.
  • D. C. Marinescu, Cloud Computing: Theory and Practice. Netherlands: Elsevier Science. 2022.
  • S. S. G. Manvi, Cloud Computing: Concepts and Technologies. United Kingdom: CRC Press. 2021
  • R. dash, et. al, Cloud Computing Infrastructure for Enabling Future Technology Advancement. United States: Nova Science Publishers. 2022

The Referencing style for this unit is IEEE: 

See the MIT Library Referencing webpage: https://library.mit.edu.au/itreferencing and the Unit Moodle page for additional referencing support material and weblinks.
 

Graduate attributes

MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:

Ability to communicate Independent and lifelong learning Ethics Analytical and problem solving Cultural and global awareness Team work Specialist knowledge of a field of study

Legend

Levels of attainment Extent covered
The attribute is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations.
The attribute is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations.
The attribute is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations.
The attribute is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by activities such as lectures or tutorials.
The attribute is not considered, there is no theory or practice or activities associated with this attribute.