MSBTE K Scheme – 315325 Cloud Computing (CC)
MSBTE K Scheme – Cloud
Computing (CC) Notes PDF
The MSBTE K
Scheme Cloud Computing subject is one of the modern and industry-focused
courses included in the Computer Engineering diploma curriculum. It is
generally introduced in the final year (Semester 5 or 6) of the MSBTE
syllabus.
Cloud Computing
has become the backbone of IT industries today. From Google Drive,
YouTube, and Gmail to Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud,
all are real-life examples of cloud technology. This subject helps diploma
students understand how data, applications, and services are stored,
managed, and processed on the internet instead of local computers.
What is Cloud Computing?
- Cloud Computing is the delivery of computing
services such as storage, servers, databases, networking, and software
over the internet (the cloud).
- Instead of owning physical hardware, users can rent
resources from cloud providers as per demand.
- It provides on-demand availability, scalability,
and cost-efficiency.
In simple words, Cloud Computing
allows us to use IT resources like electricity – pay for what you use, scale
when needed, and access anytime, anywhere.
Importance of Cloud Computing in MSBTE K Scheme
- Industry Relevance: Cloud is the backbone of
IT companies, startups, and MNCs.
- Job Opportunities: Skills in cloud lead to
careers in cloud developer, administrator, and architect.
- Future-Ready Knowledge: Cloud integrates
with Artificial Intelligence, IoT, Big Data, and Cybersecurity.
- Exam Oriented: MSBTE exams include both
conceptual and application-based questions on cloud services.
- Practical Learning: Students gain hands-on
practice using cloud platforms and simulation tools.
MSBTE K Scheme – Cloud Computing Syllabus (Overview)
The syllabus is designed to balance
theory, practicals, and industry usage. Major topics include:
1. Introduction to Cloud Computing
- Basics of distributed and parallel computing
- Evolution from mainframe → client-server → grid →
cloud
- Cloud computing characteristics:
- On-demand service
- Scalability
- Elasticity
- Pay-as-you-go model
- Resource pooling
2. Cloud Service Models
- IaaS (Infrastructure as a Service): Virtual
machines, storage, and networking (e.g., AWS EC2, Google Compute Engine)
- PaaS (Platform as a Service): Application
platforms for developers (e.g., Google App Engine, Microsoft Azure)
- SaaS (Software as a Service): Software
available directly via internet (e.g., Gmail, Google Docs, Dropbox)
3. Cloud Deployment Models
- Public Cloud – Open for all (AWS, Google
Cloud)
- Private Cloud – Used by a single
organization for security
- Hybrid Cloud – Combination of public +
private
- Community Cloud – Shared infrastructure for
similar organizations
4. Virtualization in Cloud
- Concept of virtual machines (VMs)
- Hypervisors – Type 1 (bare metal) and Type 2
(hosted)
- Benefits of virtualization: cost-saving, resource
efficiency
5. Cloud Architecture
- Front end (client interface)
- Back end (servers, databases, storage)
- Middleware and APIs
- Cloud security considerations
6. Cloud Storage and Data Management
- Cloud storage basics
- Distributed file systems (HDFS)
- Databases in the cloud (SQL vs NoSQL)
- Data replication and backup
7. Security in Cloud Computing
- Threats: data breaches, DDoS attacks, insider
threats
- Security techniques: encryption, identity
management, firewalls
- Compliance standards (ISO, GDPR)
8. Cloud Applications and Case
Studies
- Cloud in education (Google Classroom)
- Cloud in business (ERP, CRM)
- Cloud in healthcare (medical records storage)
- Cloud in entertainment (Netflix, Hotstar)
Practical Work in Cloud Computing (MSBTE)
Students perform hands-on
activities such as:
- Creating and managing virtual machines
- Deploying applications on a cloud platform
- Exploring Google Cloud / AWS free tier
services
- Writing reports on case studies of cloud
providers
- Demonstrating file storage and sharing on cloud
- Performing basic cloud security configurations
Importance in MSBTE Exams and Career
In Exams
- Definition-based questions (IaaS, PaaS,
SaaS, deployment models).
- Diagram-based questions (cloud architecture,
virtualization).
- Case studies on cloud application in real
life.
- Short notes on advantages, security, and
virtualization.
- Scenario-based questions (choosing cloud
model for an organization).
In Career
- Cloud Developer: Build and deploy apps on
cloud platforms.
- Cloud Administrator: Manage servers,
storage, and virtual machines.
- Cloud Security Specialist: Protect cloud
systems from attacks.
- DevOps Engineer: Integrate cloud into
software deployment.
- Data Engineer: Work with cloud storage and
big data tools.
Study Tips for MSBTE Students
- Memorize the 3 service models (IaaS, PaaS, SaaS)
with examples.
- Understand deployment models with real-life
use cases.
- Practice cloud architecture diagrams.
- Revise advantages and challenges of cloud
regularly.
- Perform hands-on practice on free cloud
platforms like AWS, GCP, and Microsoft Azure.
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