Cloud Computing

GTU Study
KHUDKIBOOK
CLOUD COMPUTING 3170717
FREE PDF 3170717
Code: 3170717 Credits: 3 Semester 7 AI & ML

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 3170717) as prescribed for AI & ML · Semester 7 divides the course into 7 units, covering 66 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 (3170717)

Unit 1 Introduction

4 lecture hours

  • Cloud Computing
  • Layers and Types of Clouds
  • Cloud Infrastructure Management
  • Challenges and Applications
  • Virtualization: Virtualization of Computing
  • Storage and Resources
  • Cloud Services: Introduction to Cloud Services IaaS
  • PaaS and SaaS

Unit 2 Software as a Service (SaaS)

8 lecture hours

  • Evolution of SaaS
  • Challenges of SaaS Paradigm
  • SaaS Integration Services
  • SaaS Integration of Products and Platforms
  • Infrastructure As a Services (IaaS): Introduction
  • Background & Related Work
  • Virtual Machines Provisioning and Manageability
  • Virtual Machine Migration Services
  • VM Provisioning and Migration in Action
  • Platform As a service (PaaS): Integration of Private and Public Cloud
  • Technologies and Tools for Cloud Computing
  • Resource Provisioning services

Unit 3 Abstraction and Virtualization

8 lecture hours

  • Introduction to Virtualization Technologies
  • Load Balancing and Virtualization
  • Understanding Hyper visors
  • Understanding Machine Imaging
  • Porting Applications
  • Virtual Machines Provisioning and Manageability Virtual Machine Migration Services
  • Virtual Machine Provisioning and Migration in Action
  • Provisioning in the Cloud Context
  • Virtualization of CPU, Memory
  • Virtual Clusters and Resource management
  • Virtualization for Data Center Automation

Unit 4 Cloud Infrastructure and Cloud Resource Management

8 lecture hours

  • Architectural Design of Compute and Storage Clouds
  • Layered Cloud Architecture Development
  • Design Challenges
  • Inter Cloud Resource Management
  • Resource Provisioning and Platform Deployment
  • Global Exchange of Cloud Resources
  • Administrating the Clouds
  • Cloud Management Products
  • Emerging Cloud Management Standards

Unit 5 Security

  • Security Overview
  • Cloud Security Challenges and Risks
  • Software-as-a Service Security
  • Cloud computing security architecture: Architectural Considerations
  • General Issues Securing the Cloud
  • Securing Data
  • Data Security
  • Application Security
  • Virtual Machine Security
  • Identity and Presence
  • Identity Management and Access Control
  • Autonomic Security Establishing Trusted Cloud 07 Subject Code: 3170717 w.e.f
  • AY 2018-19 computing
  • Secure Execution Environments and Communications
  • Identity Management and Access control Identity management
  • Access control
  • Autonomic Security Storage Area Networks
  • Disaster Recovery in Clouds

Unit 6 Cloud Middleware

5 lecture hours

  • Windows Azure
  • Google App Engine

Unit 7 Cloud Based Case-Studies

5 lecture hours

  • Overview of Cloud services
  • Designing Solutions for the Cloud
  • Implement & Integrate Solutions
  • Emerging Markets and the Cloud
  • Tools for Building Private Cloud: IaaS using Eucalyptus
  • PaaS on IaaS - AppScale

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