Cloud & Edge Computing Systems

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KHUDKIBOOK
CLOUD & EDGE ME02095071
FREE PDF ME02095071
Code: ME02095071 Credits: 4 Semester 2 AIAD

Cloud & Edge Computing Systems

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

Cloud & Edge Computing Systems Syllabus — Unit-wise Content

The official GTU curriculum for Cloud & Edge Computing Systems (subject code ME02095071) as prescribed for AIAD · Semester 2 divides the course into 5 units, covering 52 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 (ME02095071)

Unit 1 Introduction of Cloud Computing

4 lecture hours

  • History of Centralized and Distributed Computing
  • Introduction to Cloud Computing- Cloud issues and challenges
  • Service models
  • Deployment models
  • Cloud resources: Network and API, Virtual and Physical computational resources
  • Cloud Data-storage
  • Virtualization concepts: Types of Virtualizations
  • Introduction to Various Hypervisors
  • High Availability using Virtualization
  • Moving VMs

Unit 2 Cloud Programming and Software Environments

10 lecture hours

  • Web services
  • Web OS, Anything as a service (XaaS)
  • Parallel and Distributed Programming paradigms – Programming on Amazon AWS, Microsoft Azure
  • Google App Engine and Emerging Cloud software Environment
  • Cloud Access: authentication
  • authorization and accounting - Cloud Provenance and meta-data - Cloud Reliability and fault-tolerance - Cloud Security
  • policy and compliance- Cloud federation
  • interoperability and standards

Unit 3 RaspberryPi

7 lecture hours

  • Introduction to RaspberryPi
  • RaspberryPi Board: Hardware Layout and Pinouts
  • Operating Systems on RaspberryPi
  • Configuring RaspberryPi
  • Programming RaspberryPi
  • Connecting Raspberry Pi via SSH, Remote Program Name: Engineering Level: PG Branch: Artificial Intelligence and Data Science Subject Code: ME02095071 Course/Subject Name: Cloud & Edge Computing Systems access tools
  • Interfacing DHT Sensor with Pi, Pi as Webserver
  • Pi Camera
  • Image & Video Processing using Pi, Implementation of Microcomputer RaspberryPi and device Interfacing
  • Edge to Cloud Protocols
  • MQTT publish-subscribe
  • MQTT architecture details
  • MQTT state transitions
  • MQTT packet structure
  • MQTT data types
  • MQTT communication formats
  • MQTT working example
  • Edge computing with RaspberryPi

Unit 4 Introduction of IoT and Edge Computing

12 lecture hours

  • Edge Computing Scenario's and Use cases
  • Edge computing purpose and definition
  • Edge computing hardware architectures
  • Edge platforms
  • Edge vs
  • Fog Computing
  • Communication Models - Edge
  • Fog and M2M

Unit 5 IoT Architecture and Core IoT Modules

12 lecture hours

  • A connected ecosystem
  • IoT versus machine-to-machine versus SCADA
  • The value of a network and Metcalfe's and Beckstrom's laws
  • IoT and edge architecture
  • Role of an architect
  • Understanding and Implementations with examples - Example use case and deployment
  • Various Case studies of IoT Based systems
  • requirements and implementation

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