BIT · Semester VII
Cloud Computing syllabus
Official TU syllabus for Cloud Computing (BIT408): 10 units, 63 topics. Every unit links to its notes and solved questions.
1
Cloud Computing Fundamentals
5 Q- Definition and characteristics of cloud computing
- Advantages and disadvantages of cloud computing
- Cloud computing vs grid computing
- Cloud computing vs fog computing
- Elasticity and on-demand provisioning
- Cloud stakeholders
2
Cloud Service Models
5 Q- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS) characteristics
- Software as a Service (SaaS)
- Comparison between PaaS and SaaS
- Serverless computing and FaaS model
- Characteristics and challenges of serverless computing
3
Cloud Deployment Models and Platforms
4 Q- Public cloud deployment
- Private cloud deployment
- Hybrid cloud deployment
- Community cloud deployment
- AWS architecture and components
- Microsoft Azure tasks and services
- Cloud platforms overview
4
Virtualization Technology
5 Q- Definition and characteristics of virtualization
- Types of virtualization
- Server virtualization
- Storage virtualization
- Hypervisor definition and roles
- Hypervisor benefits for organizations
- VMware technology and functionality
5
Web Services and Data Management
4 Q- Service definition and concepts
- Service-Oriented Architecture (SOA)
- SOAP based web service model
- REST web services architecture
- Comparison between SOAP and REST
- Web services development using SOAP and REST
- Data and resource management in cloud
6
Cloud Programming Models and Parallelization
9 Q- Thread programming in cloud
- Task programming in cloud
- Comparison between thread and task programming
- MapReduce framework and model
- MapReduce configuration parameters
- MapReduce parallel efficiency
- Parallelization implementation in cloud
- MapReduce examples and applications
7
Big Data Processing and Storage
6 Q- Fast data processing and streaming issues
- Data lake advantages
- Graph database definition and applications
- Graph processing techniques
- Columnar storage format
- Row storage format
8
Cloud Security
6 Q- Cloud security challenges and risks
- Fundamental principles of cloud security design
- Cloud security architecture design
- Identity management in cloud
- Access control mechanisms
- Intrusion detection and elimination in private cloud
- Security challenges list
9
Cloud Availability, Disaster Recovery, and Governance
3 Q- Disaster recovery techniques
- Cloud availability mechanisms
- Backup strategy for systems and data
- Backup strategy for critical resources
- Cloud governance principles
- Fog computing overview
10
Advanced Cloud Applications
1 Q- Machine learning in cloud computing
- Machine learning use cases and justification
- Cloud computing case studies
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