Cloud Computing Research Project
This topic covers conducting a research project in cloud computing, from selecting methodologies to analysing data and communicating outcomes. Learners reflect on the effectiveness of their research approach.
Assessment criteria
Topic Overview
Cloud Computing is a paradigm that enables on-demand access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This unit covers the fundamental concepts, service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid, community), and the economic and architectural benefits of cloud computing. Understanding these principles is essential for designing, deploying, and managing scalable, resilient, and cost-effective IT solutions in modern enterprises.
In the context of the Pearson BTEC Level 5 Higher National Diploma in Cloud Computing, this unit provides the theoretical foundation and practical skills required to evaluate cloud service providers, migrate legacy systems to the cloud, and implement cloud security best practices. You will explore real-world case studies, such as how Netflix uses AWS for global content delivery or how Dropbox leverages cloud storage. Mastery of this topic is critical for roles like Cloud Architect, DevOps Engineer, and Cloud Security Analyst, as it underpins the entire cloud ecosystem.
This unit also aligns with industry-recognised certifications such as AWS Certified Cloud Practitioner and Microsoft Azure Fundamentals. By the end of the unit, you should be able to compare cloud providers, calculate total cost of ownership (TCO), and design a basic cloud architecture that meets business requirements. The knowledge gained here directly supports subsequent units on cloud security, virtualisation, and distributed systems.
Key Concepts
Core ideas you must understand for this topic
- →Essential Characteristics of Cloud Computing: On-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service – these five attributes define true cloud computing as per NIST SP 800-145.
- →Service Models: Infrastructure as a Service (IaaS) provides virtualised computing resources; Platform as a Service (PaaS) offers a platform for application development; Software as a Service (SaaS) delivers fully managed applications. Understand the shared responsibility model for each.
- →Deployment Models: Public cloud (third-party provider, multi-tenant), private cloud (single-tenant, on-premises or hosted), hybrid cloud (combination of public and private), and community cloud (shared by several organisations with common concerns).
- →Virtualisation: The technology that abstracts physical hardware, enabling multiple virtual machines (VMs) to run on a single physical server. Hypervisors (Type 1 and Type 2) are key components.
- →Scalability and Elasticity: Scalability is the ability to handle growing workloads by adding resources; elasticity is the ability to automatically scale resources up or down based on demand. These are key benefits of cloud computing.
Learning Objectives
What you need to know and understand
- 1. Examine suitable research methodologies and approaches in preparation for a research project.2. Conduct and analyse research relevant for a cloud computing themed research project.3. Communicate the outcomes of a research project to identified stakeholders.4. Reflect on the effectiveness of the selected research methodologies for the chosen research project.
Assessment Criteria
Key criteria assessors look for in your portfolio
- Select appropriate research methodologies for a cloud computing project.
- Conduct research and analyse findings effectively.
- Communicate research outcomes to stakeholders.
- Reflect on the effectiveness of chosen methodologies.
- Demonstrate understanding of ethical considerations.
Assessment Guidance
Guidance for achieving higher grades
- 💡Use a mix of qualitative and quantitative methods if appropriate.
- 💡Structure your report with clear sections: intro, methods, results, discussion.
- 💡Always cite sources and reference correctly.
- 💡When comparing service models, always reference the shared responsibility model: in IaaS, the customer manages OS and applications; in PaaS, the customer manages only applications; in SaaS, the customer manages nothing but data and users.
- 💡For deployment models, be prepared to discuss use cases: e.g., hybrid cloud for regulated industries that need to keep sensitive data on-premises while leveraging public cloud for burst capacity.
- 💡In exam questions about scalability vs. elasticity, use precise definitions: scalability is about capacity planning (adding resources), while elasticity is about dynamic, automatic scaling. Provide examples like auto-scaling groups in AWS.
Common Mistakes
Common errors to avoid in your coursework
- Choosing a methodology without justifying its suitability.
- Poor data analysis or misinterpretation of results.
- Insufficient reflection on limitations of the research.
- Cloud computing is just virtualisation: While virtualisation is a key enabler, cloud computing also includes orchestration, automation, metering, and self-service capabilities that go beyond simple VM hosting.
- The cloud is always cheaper: Cloud costs can spiral if resources are not managed properly (e.g., idle instances, data egress fees). A thorough TCO analysis is essential before migration.
- Public cloud is less secure than on-premises: Major providers invest heavily in security, often exceeding typical on-premises capabilities. However, security is a shared responsibility – misconfigurations by the customer are a common cause of breaches.
Frequently Asked Questions
Common questions students ask about this topic
Pass / Merit / Distinction Evidence Checklist
How your portfolio evidence is graded for PEARSON Cloud Computing Research Project
Demonstrate baseline knowledge, accurate terminology, and core practical application.
Provide detailed analysis, structured explanations, and clear workplace reasoning.
Deliver thorough evaluation, original problem solving, and fully justified recommendations.
Before You Start
Prior knowledge that will help with this topic
- •Basic understanding of computer networks (e.g., IP addressing, DNS, HTTP/HTTPS) – essential for grasping cloud networking concepts.
- •Familiarity with operating systems (Windows Server, Linux) – needed to understand virtualisation and IaaS management.
- •Fundamentals of IT service management (ITIL) – helpful for understanding cloud service delivery and SLAs.
Coursework AI Review
Self-check your coursework evidence against P/M/D criteria
Key Terminology
Essential terms to know
- 1. Examine suitable research methodologies and approaches in preparation for a research project.2. Conduct and analyse research relevant for a cloud computing themed research project.3. Communicate the outcomes of a research project to identified stakeholders.4. Reflect on the effectiveness of the selected research methodologies for the chosen research project.
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