Fog Computing
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Fog Computing Syllabus — Unit-wise Content
The official GTU curriculum for Fog Computing (subject code 3174503) as prescribed for CS-IoT · Semester 7 divides the course into 7 units, covering 22 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 (3174503)Unit 1 Introduction to Fog Computing
- Definition and evolution
- Differences and connections between cloud computing and fog computing
- Key characteristics and advantages
Unit 2 Fog Computing Architecture
- Components of fog computing architecture
- Data processing and storage at the edge
- Communication and networking in fog environments
Unit 3 Technologies Enabling Fog Computing
- IoT protocols and devices
- Edge analytics and real-time data processing
- Virtualization and containerization technologies Bachelor/Master of Engineering Syllabus Subject Code : 3174503 Subject Name : Fog Computing
Unit 4 Fog Computing Applications
- Case studies in smart cities
- transportation, and industry 4.0
- Integration with IoT and AI, Real-time analytics and decision-making
Unit 5 Programming for Fog Environments
- Developing and deploying applications on fog nodes
- managing distributed data and compute resources
- Hands-on projects using popular fog computing platforms (e.g.
- Cisco IOx, EdgeX Foundry)
Unit 6 Security and Privacy in Fog Computing
- Security challenges and solutions
- Privacy concerns and data protection
- Trust and identity management
Unit 7 Future Trends in Fog Computing
- Emerging research areas
- Integration with 5G and beyond
- Sustainable and green fog computing
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