Cloud Computing

GTU Study
KHUDKIBOOK
CLOUD COMPUTING 3164502
FREE PDF 3164502
Code: 3164502 Credits: 4 Semester 6 CS-IoT

Cloud Computing

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Cloud Computing Syllabus — Unit-wise Content

The official GTU curriculum for Cloud Computing (subject code 3164502) as prescribed for CS-IoT · Semester 6 divides the course into 11 units, covering 59 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3164502)

Unit 1 Introduction to Cloud Computing

  • Definition and Characteristics
  • Historical Perspective
  • Service Models (IaaS
  • Deployment Models
  • Benefits and Challenges. 3 10

Unit 2 Cloud Computing Architectures

4 lecture hours

  • Design Principles
  • Public vs
  • Private vs
  • Hybrid Clouds
  • Core Cloud Components
  • Architectural Layers
  • Real-world Architectural Examples
  • Subject Code : 3164502 Subject Name : Cloud Computing

Unit 3 Virtualization and Cloud Platforms

5 lecture hours

  • Exploring virtualization
  • Load balancing
  • Machine imaging
  • Cloud marketplace overview
  • Comparison of Cloud providers
  • Virtual Machine Provisioning and Migration in Action

Unit 4 Cloud Storage and Databases

4 lecture hours

  • Storage Options (Block
  • Cloud-based Database Systems
  • Data Replication and Synchronization
  • Data Migration
  • Storage Security

Unit 5 Cloud Networking

  • Network Design in the Cloud
  • Content Delivery Networks
  • Virtual Private Cloud
  • Network Security
  • Network Performance Optimization. 4 5

Unit 6 Cloud Security

3 lecture hours

  • Security Challenges
  • Identity and Access Management
  • Data Encryption
  • Compliance and Legal Issues
  • Incident Response and Recovery

Unit 7 Cloud Management and Monitoring

  • Resource Management
  • Performance Monitoring
  • Log Management
  • Automation and Orchestration
  • Cost Management and Billing. 4 10

Unit 8 Application Development in the Cloud

4 lecture hours

  • Cloud-Native Application Design
  • Serverless Architecture
  • Development and Testing in the Cloud
  • CI/CD Pipelines

Unit 9 Cloud Services and APIs

  • Overview of Major Cloud Providers
  • Using Cloud APIs
  • Developing Scalable Cloud Applications
  • Integration Patterns
  • API Management. 4 10

Unit 10 AWS networking and databases

4 lecture hours

  • AWS history
  • AWS Infrastructure
  • AWS services
  • AWS ecosystem
  • Virtual private clouds
  • Cloud models
  • Private DNS servers (Route 53)
  • Relational database service – DynamoDB

Unit 11 Other AWS services and management services

3 lecture hours

  • Analytics services
  • Application services
  • Cloud security

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