CMT202: Distributed and Cloud Computing
|School||Cardiff School of Computer Science and Informatics|
|External Subject Code||I160|
|Number of Credits||20|
|Language of Delivery||English|
|Module Leader||Dr Padraig Corcoran|
Outline Description of Module
The aim of this module is to familiarize you with issues and successful approaches in the design and implementation of distributed systems. Detailed case studies of widely used systems will be discussed in this module.
The course covers: the organisation of distributed systems, focusing on various architectural styles used to develop such systems; core technologies to implement distributed systems; various models and infrastructures to support Cloud computing – such as virtualisation; and emerging themes in distributed systems, such as fault tolerance and policy driven autonomic self-management.
On completion of the module a student should be able to
- Demonstrate and apply knowledge about the state-of-the-art in distributed-systems architectures.
- Critically evaluate the issues in distributing an application across a network.
- Appreciate the difference between various distributed computing middleware and their communication mechanisms.
- Demonstrate and apply knowledge of common security practices within distributed systems.
- Use Cloud computing environments.
- Critique current standards in distributed computing, and the impact of standardisation on application programs.
How the module will be delivered
Modules will be delivered through blended learning. You will be guided through learning activities appropriate to your module, which may include: • on-line resources that you work through at your own pace (e.g. videos, web resources, e-books, quizzes), • on-line interactive sessions to work with other students and staff (e.g. discussions, live streaming of presentations, live-coding, team meetings) • face to face small group sessions (e.g. help classes, feedback sessions)
Skills that will be practised and developed
A. Design a distributed systems architecture using middleware where appropriate.
B. Compare different designs and assess them using appropriate metrics.
C. Design and use services in a distributed environment.
D. Specify the deployment of Cloud computing applications.
E. Design wrappers and services which overcome heterogeneity and support interoperability of autonomous information resources
How the module will be assessed
A blend of assessment types which may include coursework and portfolio assessments, class tests, and/or formal examinations.
|Class Test||50||Class Test||N/A|
|Written Assessment||25||Implement A Distributed System||N/A|
|Written Assessment||25||Implement Distributed Data Processing Algorithms||N/A|
The following topics will be covered in this module:
Characterization of Distributed systems
Distributed Object and Components
SOAP-based Web Services and Restful Web Services
Cloud and virtualisation security
Data security & privacy
Coordination and Agreement
Distributed transaction and Concurrency Control
Mobile and Ubiquitous Computing
Virtualisation (resource, network, operating system and container-based).
Data replication and availability in Cloud environments.
Dynamic provisioning (elastic computing) and scaling.
Examples: Amazon EC2/S3, Google App Engine and Microsoft Azure.
Relevant emerging technologies (e.g. edge computing, time-critical cloud applications).
Essential Reading and Resource List
Van Steen and Tanenbaum. Distributed Systems. CreateSpace Independent Publishing Platform. 2017.
Ghosh. Distributed Systems: An Algorithmic Approach (Second Edition). CRC press. 2014.
Background Reading and Resource List