Cloud Computing and Storage

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KHUDKIBOOK
CLOUD COMPUTING AND ME01062051
FREE PDF ME01062051
Code: ME01062051 Credits: 4 Semester 1 IOT

Cloud Computing and Storage

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

Cloud Computing and Storage Syllabus — Unit-wise Content

The official GTU curriculum for Cloud Computing and Storage (subject code ME01062051) as prescribed for IOT · Semester 1 divides the course into 6 units, covering 39 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 (ME01062051)

Unit 1 UNIT-I - Introduction to Cloud Computing

8 lecture hours

  • Roots of Cloud Computing
  • Layers and Types of Cloud
  • Desired Features of a Cloud
  • Benefits and Disadvantages of Cloud Computing
  • Cloud Infrastructure Management
  • Infrastructure as a Service Providers
  • Platform as a Service Providers
  • Challenges and Risks
  • broad approaches to migrating into the cloud
  • the seven-step model of migration into a cloud

Unit 2 UNIT-II

6 lecture hours

  • Integration as a Service Paradigm: The evolution
  • challenges and approaches of SaaS paradigm
  • new integration scenarios
  • the integration methodologies
  • SaaS integration products and platforms
  • SaaS integration services
  • business-to-business integration services
  • a framework of sensor - cloud integration
  • SaaS integration appliance

Unit 3 UNIT-III

8 lecture hours

  • Virtual Machines Provisioning and Migration Services: Introduction
  • Inspiration & background
  • virtual machines provisioning and manageability
  • virtual machines migration services
  • VM provisioning and migration in action
  • provisioning in the cloud context

Unit 4 UNIT-IV

8 lecture hours

  • Cluster as a Service Paradigm & Distributed Data Storage: Introduction
  • RVWS design
  • the logical design
  • proof of concepts and future research directions
  • Secure Distributed Data Storage: Introduction
  • cloud storage
  • technologies for data security

Unit 5 UNIT-V

6 lecture hours

  • Integration of Private and Public Clouds: Introduction
  • technologies and tools for cloud computing
  • Aneka cloud platform
  • Aneka resource provisioning service
  • hybrid cloud implementation

Unit 6 UNIT-VI

6 lecture hours

  • Cloud Application Architectures: Development environments for service development
  • Google Appcloud platform in industr Program Name: Master of Engineering Level: PG Branch: Internet of Things Course / Subject Code : ME01062051 Course / Subject Name: Cloud Computing and Storage

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