Welcome to the complete resource hub for Cloud Computing (315325), an elective for the MSBTE K-Scheme's 5th-semester Computer Engineering diploma. This guide provides everything you need to master the subject, from unit-wise notes and question banks to practical micro-project ideas and recommended books.
Table of Contents
Official Documents
Download Official Syllabus PDFSyllabus Overview
Unit I: Fundamentals of Cloud Computing
Introduction to Cloud Computing, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), and key characteristics.
Unit II: Virtualization
Concepts of virtualization, types of hypervisors, virtual machines (VMs), and their role in cloud infrastructure.
Unit III: Cloud Storage System Architecture
Exploring cloud storage options like object storage, block storage, and file storage. Architectures of distributed file systems.
Unit IV: Security in Cloud Computing
Understanding cloud security challenges, identity and access management (IAM), data encryption, and compliance.
Unit V: Trends in Cloud
Introduction to modern cloud trends like Serverless Computing, Containers (Docker, Kubernetes), and Edge Computing.
Video Lectures
Cloud Computing Full Course Playlist
Watch a complete video lecture series covering all the essential topics of Cloud Computing, from fundamentals to advanced concepts.
Watch on YouTubeUnit-wise Notes & Question Bank
Unit-wise Notes
Practice Question Bank
Sharpen your knowledge with a comprehensive question bank covering important topics for your final exam.
Download Question BankMicro-Project Ideas
1. Static Website Hosting on AWS S3
Create a simple portfolio website using HTML/CSS. Host it on an Amazon S3 bucket, configure it for public access, and document the process. This project covers basic cloud storage and web hosting concepts.
2. Serverless "Hello World" API
Develop a simple "Hello World" function using AWS Lambda. Expose this function as a public API using Amazon API Gateway. This introduces students to serverless computing (FaaS).
3. Cloud Service Comparison Report
Prepare a detailed report comparing a specific service (e.g., Virtual Machines, Object Storage) across two major cloud providers like AWS and Microsoft Azure. Analyze features, pricing, and common use cases.
4. Basic Web Server on a VM
Deploy a basic web server (like Apache or Nginx) on a virtual machine (e.g., AWS EC2 or Google Compute Engine). Configure the security group to allow HTTP traffic and host a simple webpage.
Recommended Books
Cloud Computing: Concepts, Technology, Security & Architecture, 2nd Edition - Pearson
View on Amazon
CLOUD COMPUTING (315325) for MSBTE 'K' Scheme | Nirali Prakashan
by Dr. Kishor S. Wagh, Dr. Mrs. Sharmila K. Wagh, et al.
View on AmazonFrequently Asked Questions (FAQ)
What is Cloud Computing in simple terms?
Cloud computing is like renting computer resources (like servers, storage, and software) over the internet instead of buying and maintaining your own. You pay only for what you use, and providers like AWS, Azure, and Google manage the physical hardware for you.
What are the main differences between IaaS, PaaS, and SaaS?
- IaaS (Infrastructure as a Service): You rent basic building blocks like virtual machines and storage. It offers the most control (e.g., AWS EC2).
- PaaS (Platform as a Service): Provides a platform for you to develop, run, and manage applications without worrying about the underlying infrastructure (e.g., Heroku, AWS Elastic Beanstalk).
- SaaS (Software as a Service): A ready-to-use software application delivered over the internet (e.g., Gmail, Microsoft 365).
Which cloud provider should I learn first: AWS, Azure, or GCP?
AWS (Amazon Web Services) is the market leader and has the most extensive documentation and community support, making it a great starting point for beginners. However, Azure is strong in the enterprise market, and GCP (Google Cloud Platform) is popular for data analytics and machine learning. The core concepts are similar across all three, so skills are transferable.
