cloud computing for Computer Science Engineering Students

CLOUD COMPUTING
CLOUD COMPUTING
Department of Computer
Science and Engineering
Name- Abhisek Rout
Regd. No- 2101229025
Sec- A
Sem- 6th
Branch- CSE
Under the guidance of Prof. Surajit Mohanty
1

Contents
 Introduction
 Types of Cloud Computing (Deployment Model, Service Model)
 Cloud Deployment Models (Public, Private, Hybrid)
 Service Models (IaaS, PaaS, SaaS)
 Benefits of Cloud Computing
 Disadvantages of Cloud Computing
 Common Cloud Computing Use Cases
 Conclusion
 Reference
2

Introduction
What is cloud computing?
 Cloud computing refers to the delivery of computing
services over the internet, including storage, servers,
databases, networking, and software.
 It allows users to access resources and
services on-demand, without the need for
physical infrastructure or local servers.
3

Cloud Deployment Models
Public Cloud
 Services are provided over a
public network and available to
anyone who wants to use them.
 It is a cost-effective option for
businesses and individuals
looking for scalability and
flexibility.
 Examples of public cloud
providers include AWS,
Microsoft Azure, and GCP.
5

Private Cloud
 It is dedicated to a single
organization or entity and may
be located on-premises or off-
premises.
 It offers greater control,
security, and customization as
compared to public cloud
services.
 It is more expensive as
compared to public cloud
services.
6

Hybrid Cloud
 It combines both public and
private cloud infrastructures.
 Organizations can leverage the
benefits of both public and
private clouds.
 It is more complex to manage as
compared to a single cloud
environment.
7

Service Models
Infrastructure as a Service (IaaS)
 IaaS provides virtualized computing
resources over the internet.
 Users have control over the
operating systems, data,
middleware, and applications.
 They can provision and manage
virtual machines, storage,
networks, and servers according to
their requirements.
 Examples of IaaS providers include
AWS, Microsoft Azure, and Google
Compute Engine.
8

Service Models
Platform as a Service (PaaS)
 PaaS offers a platform for
developing, testing, and deploying
applications over the internet.
 It allows users to focus on
application development without
worrying about infrastructure
management.
 PaaS providers manage the basic
infrastructure, including servers,
storage, and networking.
 Examples of PaaS providers include
Heroku, Google App Engine, and
AWS Elastic Beanstalk. 9

Service Models
Software as a Service (SaaS)
 SaaS delivers software applications
over e internet on a subscription
basis.
 Users can access and use
applications directly through a web
browser.
 Users can’t manage the
infrastructure, platform, or
software as everything is handled
by the provider.
 Examples of SaaS include
Salesforce, Microsoft Office 365,
and Google Workspace. 10

Benefits of Cloud Computing
 Cost Savings
 Scalability
 Flexibility
 Reliability
 Backup and Recovery
11

Disadvantages of Cloud Computing
 Does not work well with low speed connections.
 Security and Privacy
 Vulnerability to attack
 Limited control
 Cost concerns
12

Common Cloud Computing Use Cases
 Data Storage and Backup
 Software Development and Testing
 Web and Mobile Applications
 Big Data Analytics
 Disaster Recovery
13

Conclusion
 Cloud computing has revolutionized the way businesses and
individuals access and utilize computing resources.
 It offers several advantages including cost savings, flexibility, and
increased efficiency.
 Looking towards the future, cloud computing is expected to
continue, grow and evolve, driven by advancements in technology
and increased demand for digital services.
 The rise of 5g networks, edge computing, and artificial intelligence
are expected to further enhance the capabilities of cloud
computing.
14

 Sunyaev, A., & Sunyaev, A. (2020). Cloud computing. Internet Computing: Principles
of Distributed Systems and Emerging Internet-Based Technologies, 195-236.
 Voorsluys, W., Broberg, J., & Buyya, R. (2011). Introduction to cloud
computing. Cloud computing: Principles and paradigms, 1-41.
 Mirashe, S. P., & Kalyankar, N. V. (2010). Cloud computing. arXiv preprint
arXiv:1003.4074.
 Jadeja, Y., & Modi, K. (2012, March). Cloud computing-concepts, architecture and
challenges. In 2012 international conference on computing, electronics and electrical
technologies (ICCEET) (pp. 877-880). IEEE.
Reference
15

cloud computing for Computer Science Engineering Students

More Related Content

Similar to cloud computing for Computer Science Engineering Students (20)

Recently uploaded (20)

cloud computing for Computer Science Engineering Students