Overview
You will learn the principles of distributed systems, including architecture, design, and algorithms, and how to use them in the development of distributed applications. You will explore the significant distributed system characteristics of scalability, heterogeneity, security, and failure handling in addition to the fundamentals of networking, inter-process communication, remote invocation, and operating system support. You will examine different approaches to supporting distributed applications including client/server models, web services, cloud computing, and edge computing solutions. You will learn about distributed file systems, naming, and data-related aspects of distributed transactions, and data replication. You will analyse algorithms associated with coordination and agreement. You will also critique the social impacts arising from the widespread adoption of distributed systems, including remote work, virtual communities, and privacy and security concerns. You will reinforce the core theoretical concepts by analysing a case study focused on a complex, component-based distributed system designed with robust security features.
Details
Pre-requisites or Co-requisites
Prerequisite unit: COIT20256 Object Oriented Development Anti-Requisite unit: COIT23005 Distributed Systems
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 2 - 2026
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Unit Coordinator self reflection
There is a need to gather feedback from students and the teaching team on the newly added content regarding 1) security topics (mutual authentication and symmetrical/asymmetrical cryptography) and 2) the complex distributed system case study, to assess their reception and integration into the course and inform necessary refinements for improved learning outcomes.
Collect feedback from the teaching team and check students' performance on the newly added content on the two topics. If necessary, make proper adjustments/updates to the content.
Feedback from Unit Coordinator self reflection
The rise of IoT, demand for low-latency applications, and growth of 5G underscore the importance of incorporating edge computing into the curriculum to equip students with knowledge of efficient and scalable computing solutions.
Introduce the modern distributed computing model of Edge Computing, along with key industry standards. Assess Edge Computing through a simplified case study, such as Smart Farming.