2020/21 Taught Postgraduate Module Catalogue

COMP5850M Cloud Computing

15 creditsClass Size: 150

Module manager: Dr Karim Djemame
Email: k.djemame@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2020/21

Pre-requisites

COMP3211

Distributed Systems

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:
- Demonstrate an understanding of cloud computing techniques and technologies;
- Identify the paradigms that determine the requirements, capabilities and performance of Cloud systems;
- Design a high-level framework of a Cloud architecture;
- Use a range of middleware tools to implement a cloud application;
- Reason about the significance of the new directions that Cloud computing is taking.

Learning outcomes
On completion of the year/programme students should have provided evidence of being able to:
-to demonstrate in-depth, specialist knowledge and mastery of techniques relevant to the discipline and/or to demonstrate a sophisticated understanding of concepts, information and techniques at the forefront of the discipline;
-to exhibit mastery in the exercise of generic and subject-specific intellectual abilities;
-to demonstrate a comprehensive understanding of techniques applicable to their own research or advanced scholarship;
-proactively to formulate ideas and hypotheses and to develop, implement and execute plans by which to evaluate these;
-critically and creatively to evaluate current issues, research and advanced scholarship in the discipline.

Syllabus

Definitions of cloud systems; Grids versus Clouds; Cloud application challenges; Taxonomy of cloud systems; Cloud services; Virtualisation; Virtual Infrastructure Management; Virtual machines, containers and unikernels; Serverless architectures; Big data; Energy efficiency; Service level agreements; Cloud use cases; Programming models; Data-intensive information processing; Quality of Service; Cloud computing future trends; Security and trust; ubiquitous clouds and the Internet of things, cloud economy, edge computing.

Teaching methods

Delivery type	Number	Length hours	Student hours
Laboratory	11	1.00	11.00
Lecture	22	1.00	22.00
Private study hours			117.00
Total Contact hours			33.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

Coursework and labs.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
In-course MCQ	MCQ/Short Answer Test	20.00
In-course MCQ	MCQ/Short Answer Test	20.00
In-course Assessment	Programming exercise I - Problem Solving	30.00
In-course Assessment	Programming exercise II - Problem Solving	30.00
Total percentage (Assessment Coursework)		100.00

This module will be reassessed by an online time-constrained assessment

Reading list

The reading list is available from the Library website

Last updated: 18/09/2020 12:25:42

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD