2022/23 Undergraduate Module Catalogue

XJCO3211 Distributed Systems

10 creditsClass Size: 100

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2022/23

Pre-requisites

XJCO2221

Networks

This module is not approved as a discovery module

Module summary

The students will gain an understanding of the principles and techniques behind the design of distributed systems as well practical experience in designing, implementing, and evaluating such systems.

Objectives

The aim of this module is to provide the fundamental knowledge for designing and engineering distributed systems with reference to system architectures, scalability and performance.
The objectives are:
- Identify the paradigms that determine the requirements, capabilities and performance of distributed systems;
- Design a high-level framework of a distributed system based on the Internet architecture / advanced architectures;
- Use a range of middleware tools to implement a distributed design;
- Reason about the significance of the new directions that distributed systems are taking.

Learning outcomes
On completion of this module, the students should be able to:
1. Recall key concepts of parallel software and hardware.
2. Apply parallel design paradigms to serial algorithms.
3 Evaluate and select appropriate parallel solutions for real world problems.
4. Generalise parallel concepts to future hardware and software developments.

Syllabus

- Definitions of distributed systems - Applications challenges - Systems challenges - The client-server model - Role of Middleware - The N-tier model - Message oriented communication - Remote database access - Implementation of middleware using a distributed object model - Remote method invocation technologies - Service Oriented Architectures - Web services, SOAP and REST - Naming, directory, and discovery services - Synchronisation in distributed systems - Fault tolerance and Quality of Service - Transactions - Emerging distributed systems - Grid computing - Cloud computing, virtualized infrastructures and Big Data - Edge Computing

Teaching methods

Delivery type	Number	Length hours	Student hours
Workshop	11	1.00	11.00
Residential	22	1.00	22.00
Class tests, exams and assessment	1	2.00	2.00
Private study hours			65.00
Total Contact hours			35.00
Total hours (100hr per 10 credits)			100.00

Opportunities for Formative Feedback

Coursework and labs.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
In-course Assessment	MCQ Test	15.00
In-course Assessment	Problem Solving	25.00
Total percentage (Assessment Coursework)		40.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams

Exam type	Exam duration	% of formal assessment
Online Time-Limited assessment	2 hr 00 mins	60.00
Total percentage (Assessment Exams)		60.00

This module will be reassessed by an online time-limited assessment.

Reading list

There is no reading list for this module

Last updated: 01/06/2022 16:59:02

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