Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Cloud Computing
Code CKIT523
Coordinator Prof FP Coenen
Computer Science
Coenen@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2017-18 Level 7 FHEQ Whole Session 15

Aims

  1. To provide studnets with the opportunity to investigate cloud architectures and foundations so that then obtain a comprehensive understanding of the process of building cloud based infrastructure services and applications.

  2. To provide a comprehensive and systematic understanding of cloud architecture models.

  3. A critical and wide ranging understanding of cloud industry standardisation, middleware platforms and cloud provider platforms


Learning Outcomes

A comprehensive ability to explain key concepts and major application areas in the context of cloud computing.

 

An ability to analyse and critically compare cloud computing solutions. 

A deep adn systematic understanding of teh mechanisms that can be used to realise cloud computing solutions to IT problems


Syllabus

Week 1: Cloud Computing Foundation

Cloud Computing definition, reference architecture, general use cases analysis, cloud scaling. Cloud properties, cloud benefits and cloud challenges.Cloud stakeholders and roles.

 
Week 2: Cloud Architectures and Cloud Platforms

Cloud computing enabling technologies; Virtualisation platforms; Cloud related standards; Topology and Orchestration Specification for Cloud (TOSCA); Open Cloud Computing Interface (OCCI); Lower layer standards - OVF by DMTF, CDMI by SNIA

 

 

Week 3: Cloud Infrastructure a s a Service (IaaS)

IaaS architectures and models; cloud management functions and API; security groups, virtual machine images. Storage file system types: persistent object storage and block storage; storage virtualisation. Custom and large scale deployment, deployment management tools Chef, Puppet.

 

Re-factoring applications for clouds and cloud aware design; example IaaS service d esign.

 

 

Week 4: Cloud Platform as a Service (PaaS)

PaaS architecture components: code containers, queues, data structures, databases, load balancers. PaaS services composition and management: Azure Service Bus; VMware Cloud Foundry service manager. Example Cloud PaaS services design using Micros oft Azure: service patterns and custom service composition; service deployment, service monitoring and adaptive load balancing and elasticity

  

 

Week 5: Cloud Software as a Service (SaaS) and application clouds

Overview SaaS and application clouds: componen ts, services and usage models. Overview and analysis of GoogleApps and Office365. Example usage.

 


Week 6: Cloud Security, Data protection and Privacy, Access Control and Identity Management

 

Cloud security and privacy challenges; existing architectures, solutions and methods; access control and security policies, Identity Management in clouds. Secure platforms and secure virtualised environment. Overview security models by major cloud providers Amazon AWS and Microsoft Azure.

 

 

Week 7: Cloud construction, cloud interoperability, migration enterprise infrastructure to clouds

This seminar will discuss enterprise related use cases of migrating enterprise IT infrastructure and services to cloud; Evaluating enterprise IT infrastructure maturity level; planning migration procedure; developing new operational patterns and responsibilities; Example cloud aware services with Amazon AWS; 

Cloud Management Software overview: OpenStack, OpenNebula, VMware,, vCloud and Cloud Foundry, covering functionality, components, tools, configuration examples, design patterns

 

 

Week 8: Cloud infrastructure management, system/service compliance and assurance

IT management issues for clouds, cloud economics, cloud compliance, existing standards and industry practices, cloud dependability; Example PCI DSS compliance for clouds

 

 


Teaching and Learning Strategies

Virtual classroom hours (for online modules) -

Number of hours per week that students are expected to attend the virtual classroom so as to participate in discussion, dedicated to group work and individual assessment is 8.75.

Non-classroom hours (for online modules) -

Number of hours per week that students are expected to devote to reading, research and other individual work to support engagement in the classroom is 10.


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours           70

80

150
Timetable (if known)           Number of hours per week that students are expected to attend the virtual classroom so as to participate in discussion, dedicated to group work and individual assessment is 8.75.
Number of hours per week that students are expected to devote to reading, research and other individual work to support engagement in the classroom is 10.
 
 
Private Study 0
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
             
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Coursework  Weekly Discussion Qu  Whole session  50  No reassessment opportunity  Standard UoL penalty applies  Assessment 1 There is no reassessment opportunity, The nature of the adopted online learning paradigm is such that no reassessment opportunity is available; instead students failing the module will be offered the opportunity to retake the entire module. 
Coursework  Weekly Hand In Assig  Whole Session  20  No reassessment opportunity  Standard UoL penalty applies  Assessment 2 There is no reassessment opportunity, The nature of the adopted online learning paradigm is such that no reassessment opportunity is available; instead students failing the module will be offered the opportunity to retake the entire module. 
Coursework  Weekly Project Work  Whole Session  30  No reassessment opportunity  Standard UoL penalty applies  Assessment 3 There is no reassessment opportunity, The nature of the adopted online learning paradigm is such that no reassessment opportunity is available; instead students failing the module will be offered the opportunity to retake the entire module. Notes (applying to all assessments) 1)Due to nature of the on-line mode of instruction this work is not marked anonymously. 2)Students who fail the module have the opportunity to repeat the entire module. 3)The "Standard UoL Penalty" for late submission that applies is the "Standard UoL Penalty" agreed with respect to online programmes offered in collaboration with Laureate Online Education.  

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List:

The online programmes offered by the department of Computer Science in Collaboration with Laureate Online Education use online materials wherever possible including the online resources available within the University of Liverpool’s libraries. This module does not require a specific text book.