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Cloud Computing Architecture (11368.1)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

Syllabus

Cloud Computing Architecture is a field of study focused on the design of architectural solutions for cloud computing-based environments, which are inherently distributed and service-based. Among others, cloud-based solutions must consider connectivity, latency and bandwidth constraints, quality attributes such as availability and performance, and non-technical aspects such as pricing and SLAs (Service-Level Agreements).

This unit will focus on the practices and technologies required to architect and deploy secure and robust applications on cloud-provisioned environments, with the aim best leveraging the available cloud resources. Among others, students will learn how to design architectures to achieve high availability, scalability (including auto scaling), infrastructure automation (infrastructure as software), decoupling, and web-scale storage. The main pillars of Cloud Computing Architecture will also be addressed: security, reliability, performance efficiency and cost optimisation. The ultimate goal is to design cloud-based solutions using appropriate architectural design principles and best practices to address customer requirements and deliver quality cloud-based solutions.

Students will have hands-on experience using computing, networking, storage, and database services provided by some of the top cloud providers worldwide, as well as hands-on experience with the deployment and management of cloud services.

Learning Outcomes

After successful completion of this unit, students will be able to:

1. Understand cloud computing architectural principles and constraints;

2. Understand cloud computing architectural best practices;

3. Design cloud-based solutions using appropriate architectural design principles and best practices to address customer requirements and deliver quality cloud-based solutions;

4. Design architectures to achieve high availability, scalability (including auto scaling), infrastructure automation (infrastructure as software), decoupling, and web-scale storage;

5. Design architectures based on the main pillars of Cloud Computing: security, reliability, performance efficiency and cost optimisation.

Contact Hours

On-campus lectures: 24 hours per semester. On-campus hands-on practical tutorials: 22 hours per semester.

Prerequisites

11485 Introduction to Network Engineering

Corequisites

None.

Assumed Knowledge

Basic network engineering, basic security and support in IT.

Incompatible Units

None.

Equivalent Units

None.



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