BCA III SEM CLOUD COMPUTING(Elective) SYLLABUS & NOTES
Cloud Computing (Elective)
University of Mysore SEP BCA III SEM
Course Overview
This course delivers an immersive, premium technical overview tracking modern Cloud Computing architectures, infrastructure-level virtualization, scalable storage options, and automated DevOps implementation practices. Curated for computing students, it establishes solid theoretical insights matched with absolute standard implementations required under modern enterprise environments.
Course Specifications
- Semester: III
- Course Code: CAE321 (Elective)
- Course Title: Cloud Computing
- Course Credits: 03(3-0-0)
- Hours/Week: 03
- Total Contact Hours: 48
- Formative Assessment Marks: 20
- Exam Marks: 80
- Exam Duration: 03 Hours
Course Curriculum
Unit 1: Introduction to Cloud Computing
Introduction to Cloud Computing: Definition and Characteristics of Cloud Computing, History and Evolution of Cloud Computing, Cloud Computing Architecture, Benefits and Challenges of Cloud Computing.
Unit Contact Hours: 12 Hours
Unit 2: Cloud Service Models
Cloud Service Models: Infrastructure as a Service (IaaS), Key Providers: AWS EC2, Google Compute Engine, Azure VMs, Platform as a Service (PaaS), Key Providers: AWS Elastic Beanstalk, Google App Engine, Azure App Services Software as a Service (SaaS), Examples: Google Workspace, Microsoft Office 365.
Unit Contact Hours: 12 Hours
Unit 3: Deployment Models & Virtualization
Cloud Deployment Models: Public Cloud, Private Cloud, Hybrid Cloud, Community Cloud, Concept of Virtualization, Types of Virtualizations: Server, Network, Storage, Hypervisors: VMware, Hyper-V, KVM.
Unit Contact Hours: 12 Hours
Unit 4: Storage, Databases, Networking & DevOps
Cloud Storage and Databases: Storage Solutions, S3, Azure Blob Storage, Google Cloud Storage, Database Services AS AWS RDS, Azure SQL Database, Google Cloud SQL, NoSQL Databases as DynamoDB, Azure Cosmos DB, Google Cloud Fire store.
Cloud Networking: Networking Basics in the Cloud, Virtual Private Cloud (VPC), Load Balancing and Auto Scaling, Content Delivery Networks (CDN).
Introduction to DevOps in the Cloud: DevOps Principles and Practices, CI/CD Pipelines, Infrastructure as Code (IaC).
Course Outcomes (COs)
- CO1: Understand cloud computing concepts, architecture, benefits, and challenges.
- CO2: Explain cloud service models (IaaS, PaaS, SaaS) and their providers.
- CO3: Describe deployment models, virtualization types, and hypervisors.
- CO4: Explore cloud storage, databases, networking, and DevOps practices.
Conclusion
Mastering this elective curriculum equips students with industry-relevant insights covering multi-cloud vendors, architectural paradigms, and continuous integration methodologies. Leverage the verified cloud document notes provided to guide your exam preparation systematically according to the University of Mysore guidelines.
Infrastructure Topography
Figure 1: Conceptual mapping tracking microservice topologies, storage nodes, and global load balancing logic channels.
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