Cloud computing is the on-demand delivery of IT resources over the internet with pay-as-you-go pricing, allowing access to technology services without maintaining physical servers. It includes various computing paradigms like distributed, parallel, cluster, grid, utility, and edge computing, which optimize resource use and efficiency. Cloud computing enables faster innovation and scaling for businesses by providing various services over the internet.

1. Introduction to
Cloud Computing
Dr. Yashoda M B
Assistant Professor
Department of Computer Science (UG)
Kristu Jayanti College (Autonomous)

2. Introduction
Cloud computing:
 Cloud computing is the on-demand delivery of IT resources over the Internet
with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical
data centers and servers, you can access technology services, such as
computing power, storage, and databases, on an as-needed basis from a
cloud provider.
 It s based on dynamic provisioning, which is not only applied to services but also
computing capabilities, networking, and infrastructure in general.

3. Different computing paradigms
⁍ Distributed computing is the
method of making multiple
computers work together to
solve a common problem.
⁍ All the computer systems are
linked together and the
problem is divided into
subproblems, where each part
is solved by different computer
system.
⁍ Each processor has its own
memory and all processors
communicate with each other
over the network.

4. Parallel Computing
 Type of computing where
multiple computers are
used simultaneously.
 It is the process of
breaking down larger
problems into smaller,
independent, often
similar parts that can be
executed simultaneously
by multiple processors
communicating via
shared memory.
 Concurrency, save time

5. Cluster Computing
 Group of independent computers
that work together to perform the
given task.
 Increase the performance,
scalability and simplicity of the
system

6. Grid Computing
 Grid Computing can be defined as a
network of computers working
together to perform a task that would
rather be difficult for a single machine.
All machines on that network work
under the same protocol to act as a
virtual supercomputer. The tasks that
they work on may include analyzing
huge datasets or simulating situations
that require high computing power.
Computers on the network contribute
resources like processing power and
storage capacity to the network.
 Solve high computational problems in
less time.

7. Utility computing
 Utility computing is defined
as a service provisioning
model that offers computing
resources to clients as and
when they require them on
an on-demand basis. The
charges are exactly as per
the consumption of the
services provided, rather
than a fixed charge or a flat
rate.
 The goal is to increase the
usage of resources and be
more cost efficient.

8. Edge Computing
 Focused on decreasing the long distance communication
between the client and server.
 Goal is to bring computation to the networks edge

9. Cloud computing
 Cloud is defined as the usage of some one else’s server to
host, process of store data.
 Cloud computing is the on-demand access of computing
resources—physical servers or virtual servers, data storage,
networking capabilities, application development tools,
software, AI-powered analytic tools and more—over the
internet with pay-per-use pricing.
 Simply put, cloud computing is the delivery of computing
services—including servers, storage, databases, networking,
software, analytics, and intelligence—over the Internet (“the
cloud”) to offer faster innovation, flexible resources, and
economies of scale. You typically pay only for cloud services
you use, helping you lower your operating costs, run your
infrastructure more efficiently, and scale as your business
needs change.