5. What is Cloud Computing?
“Cloud computing is a style of computing where
massively scalable IT-related capabilities are provided
as a service across the Internet to multiple external
customers”
“Cloud computing: A pool of abstracted, highly
scalable, and managed infrastructure capable of
hosting end-customer applications and billed by
consumption”
“Cloud computing is Web-based processing,
whereby shared resources, software, and
information are provided to computers and other
devices (such as smartphones) on demand over
the Internet.”
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6. What is Cloud Computing?
• Cloud Computing is a general term used to describe a new
class of network based computing that takes place over the
Internet
a collection/group of integrated and networked hardware,
software and Internet infrastructure (called a platform).
Using the Internet for communication and transport
provides hardware, software and networking services to
clients
These platforms hide the complexity and details of the
underlying infrastructure from users and applications by
providing very simple graphical interface or API (Applications
Programming Interface).
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7. What is Cloud Computing?
Cloud
Computing
Computing and software resources that
are delivered on demand, as service.. 7
9. History and Origins
S3 Launches/EC2
Launch of Amazon web services
The arrival of Salesforce.com
Supercomputers/Mainframe
2006
2002
1990
1960
Google App / Azure
2008 - 2009
The first milestone for Cloud Computing
Launches of Google App
Engine/Windows Azure Beta
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11. Cloud Computing Characteristics
11
Common Characteristics:
Low Cost Software
Virtualization Service Orientation
Advanced Security
Homogeneity
Massive Scale Resilient Computing
Geographic Distribution
Essential Characteristics:
Resource Pooling
Broad Network Access Rapid Elasticity
Measured Service
On Demand Self-Service
Adopted from: Effectively and Securely Using the Cloud Computing Paradigm by peter Mell, Tim
Grance
12. Essential characteristics of Cloud
Computing
Cloud
Computing
On-
demand
self-
service
Broad
network
access
Resource
pooling
Rapid
elasticity
A consumer can unilaterally provision
computing capabilities, such as
server time and network storage, as
needed automatically without
requiring human interaction with
each service provider
• Capabilities can be expanded or
released automatically (i.e., more
cpu power, or ability to handle
additional users)
• To the customer this appears
seamless, limitless, and responsive
to their changing requirements
Capabilities are available over the
network and accessed through
standard mechanisms that
promote use by heterogeneous
thin or thick client platforms
(e.g., mobile phones,
tablets, laptops, and
workstations).
The provider’s computing
resources are pooled to serve
multiple consumers
Resources can be dynamically
assigned and reassigned
according to customer demand
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14. Public Cloud
• Owned and managed by service provider
• Made available to the general public or a large industry group
14
15. Private Cloud
• Operated solely for an organization
• May be managed by the organization or a third party
• Limits access to enterprise and partner network
• Retains high degree of control, privacy and security
15
16. Hybrid Cloud
• Composition of two or more clouds (private, community, or
public) bound together by standardized or proprietary
technology that enables data and application portability
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20. Cloud Service models - Definitions
• SaaS is a software delivery methodology that provides
licensed multi-tenant access to software and its
functions remotely as a Web-based service.
Software as a
Service (SaaS)
• PaaS provides all of the facilities required to support
the complete life cycle of building and delivering web
applications and services entirely from the Internet.
Platform as a
Service (PaaS)
• IaaS is the delivery of technology infrastructure as an
on demand scalable service.
Infrastructure as
a Service (IaaS)
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21. Cloud Service models - Containing
Software as a
Service (SaaS)
Platform as a
Service (PaaS)
Infrastructure as
a Service (IaaS)
Email Business Processes
Industry Applications CRM/ERP/HR
Middleware
Database
Web 2.0 Application Runtime
Java RuntimeDevelopment Tooling
Firewalls, load balancers
Servers Networking Data Center FabricStorage
21
22. Cloud Service models - Examples
Software as a
Service (SaaS)
Platform as a
Service (PaaS)
Infrastructure as
a Service (IaaS)
22
24. 24
24
Where Is My Data?
• Data resides on servers
that the customer
cannot physically access
• Vendors may store data
anywhere at lowest cost
if not restrained by
agreement
25. Why cloud service is popular?
Reduce the complexity of networks.
Do not have to buy software licenses.
Customization.
Cloud providers that have specialized in a particular
area (such as e-mail) can bring advanced services that
a single company might not be able to afford or
develop.
scalability, reliability, and efficiency.
Info. at cloud are not easily lost.
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27. • Reduced Hardware equipment
for users
• Improved Performance
• Lower Hardware and Software
Maintenance
• Instant Software Updates
• Accessibility
• Pay for what we use
• Security Issues
• Internet connection
• Features may be limited
• Location of Servers
• Speed
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28. The Future
• Many of the activities loosely grouped together under cloud
computing have already been happening and centralised
computing activity is not a new phenomena
• Grid Computing was the last research-led centralised
approach
• However there are concerns that the mainstream adoption of
cloud computing could cause many problems for users
• Many new open source systems appearing that you can install
and run on your local cluster
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30. Conclusion
Cloud Computing is the fastest growing
part of network based computing . It Provides
tremendous benefits to customers of all sizes:
simple users, developers, enterprises and all
types of organizations.
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31. “Cloud computing is a simple idea ,but it can
have huge impact on our business.”
Conclusion
31
LOGO,main fuction,why,when who,what can it do simply
Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
1960 :- Supercomputers and Mainframe (massive computing was done through utility of supercomputers. The problem with this set-up arises from the cost needed to create a supercomputer or mainframe to the cost of maintaining it in optimal condition. As a result, leading to the idea of an “intergalactic computer network” by J.C.R. Licklider, who was responsible for enabling the development of ARPANET (Advanced Research Projects Agency Network) in 1969. His vision was for everyone on the globe to be interconnected and accessing programs and data at any site, from anywhere.
Afterwards, John McCarthy who proposed the idea of computation being delivered as a public utility, similar to the service bureaus.
1990 :- The first milestones for cloud computing (The arrival of Salesforce.com, which pioneered the concept of delivering enterprise applications via a simple website.
July 2002 :- Launch of Amazon web services (making information available through a web service focused as a retailer, provided a suite of cloud-based services including storage, computation and human intelligence.
March 2006 and August 2006 :- S3 and EC2 (Elastic Compute Cloud)
- infrastructure-as-a-service provider
- making core computing infrastructure service (Cloud infrastructure)
- pricing model ‘pay-per-use’
- shift of Amazon from being just a retailer to a strong player in the technology space
- EC2 as a commercial web service that allows small companies and individuals to rent computers on which to run their own computer applications.
April 2008 :- Launch of Google App Engine
- first pure play technology company into the cloud computing market (browser-based enterprise applications)
- a developer tool enables you to run your web applications on Google’s infrastructure.
- Google App’s features
- Dynamic web serving, persistent storage, automatic scaling and load balancing, Google API’s for authentication users and sending email
November 2009 :- Launch of Windows Azure Beta belonged to Microsoft (the same concept as Google App)
2010 :- Concerns about the security of their corporate data in the cloud. Security, data privacy, network performance are likely to lead to a mix of cloud computing centers both within company firewall and outside of it.
Learn how to secure, manage and monitor the growing range of external resources residing in the cloud including the improvement of faster processors and connections.
**Amazon Launches EC2 Transaction Based Web Hosting Platform
ScalabilityInfrastructure capacity allows for traffic spikes and minimizes delays.
ResiliencyCloud providers have mirrored solutions to minimize downtime in the event of a disaster. This type of resiliency can give businesses the sustainability they need during unanticipated events.
Homogeneity: No matter which cloud provider and architecture an organization uses, an open cloud will make it easy for them to work with other groups, even if those other groups choose different providers and architectures.
On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider.
Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).
Resource pooling. Multi-tenant model.. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.
Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.
Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts).
Cloud Software as a Service (SaaS). The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure and accessible from various client devices through a thin client interface such as a Web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure, network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
Cloud Platform as a Service (PaaS). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created applications using programming languages and tools supported by the provider (e.g., java, python, .Net). The consumer does not manage or control the underlying cloud infrastructure, network, servers, operating systems, or storage, but the consumer has control over the deployed applications and possibly application hosting environment configurations.
Cloud Infrastructure as a Service (IaaS). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly select networking components (e.g., firewalls, load balancers).
Scalability means Unlimited processes and storage capacity.
Improved performance:
With few large programs hogging your computer's memory, you will see better performance from your PC.
Computers in a cloud computing system boot and run faster because they have fewer programs and processes loaded into memory…
Universal document access:
That is not a problem with cloud computing, because you do not take your documents with you.
Instead, they stay in the cloud, and you can access them whenever you have a computer and an Internet connection
Documents are instantly available from wherever you are
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