Cloud computing[2] relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network.[3] At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rack space, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications. The term "moving to cloud" also refers to an organization moving away from a traditional CAPEX model (buy the dedicated hardware and depreciate it over a period of time) to the OPEX model (use a shared cloud infrastructure and pay as one uses it). Proponents claim that cloud computing allows companies to avoid upfront infrastructure costs, and focus on projects that differentiate their businesses instead of on infrastructure.[4] Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT to more rapidly adjust resources to meet fluctuating and unpredictable business demand.[4][5][6] Cloud providers typically use a "pay as you go" model. This can lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model.[7] The present availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, and autonomic and utility computing have led to a growth in cloud computing.[8][9][10] Companies can scale up as computing needs increase and then scale down again as demands decrease. Cloud vendors are experiencing growth rates of 50% per annum.[11]

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Definitions

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Definitions
Cloud computing is using the internet to
access someone else's software running
on someone else's hardware in
someone else's data center.
Lewis Cunningham[2]

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Definitions
A large-scale distributed computing
paradigm that is driven by economies of
scale, in which a pool of abstracted,
virtualized, dynamically scalable,
managed computing power, storage,
platforms, and services are delivered on
demand to external customers over the
Internet.
Ian Foster[9]

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Definitions
A Cloud is a type of parallel and distributed
system consisting of a collection of
interconnected and virtualised computers
that are dynamically provisioned and
presented as one or more unified
computing resources based on service-
level agreements established through
negotiation between the service provider
and consumers.
Rajkumar Buyya[10]

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Architecture
Cloud Service Models
Cloud Deployment Models
Essential Characteristics of Cloud
Computing

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Architecture
NIST Visual Model of Cloud Computing Definition

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Essential Characteristics[7]
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 a service provider.

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Essential Characteristics[7]
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) as well as other traditional
or cloudbased software services.

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Essential Characteristics[7]
Resource pooling.
The provider’s computing resources are
pooled to serve multiple consumers using a
multi-tenant model, with different physical
and virtual resources dynamically assigned
and reassigned according to consumer
demand.

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Essential Characteristics[7]
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.

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Essential Characteristics[7]
Measured service.
Cloud systems automatically control and
optimize resource usage by leveraging a
metering capability at some level of
abstraction appropriate to the type of service.
Resource usage can be monitored, controlled,
and reported - providing transparency for both
the provider and consumer of the service.

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Cloud Service Models
SPI Model
Cloud Software as a Service (SaaS)
Cloud Platform as a Service (PaaS)
Cloud Infrastructure as a Service (IaaS)

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Infrastructure as a Service (IaaS)
 The capability provided to the consumer is to
provision processing, storage, networks, and
other fundamental computing resources.
 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 limited control of
select networking components (e.g., host
firewalls).

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Platform as a Service (PaaS)
 The capability provided to the consumer is to
deploy onto the cloud infrastructure consumer
created or acquired applications created using
programming languages and tools supported by
the provider.
 The consumer does not manage or control the
underlying cloud infrastructure including
network, servers, operating systems, or storage,
but has control over the deployed applications
and possibly application hosting environment
configurations.

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Software as a Service (SaaS)
 The capability provided to the consumer is to use
the provider’s applications running on a cloud
infrastructure.
 The applications are 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 including network,
servers, operating systems, storage, or even
individual application capabilities, with the
possible exception of limited userspecific
application configuration settings.

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Cloud Deployment Models
Public Cloud.
Private Cloud.
Community Cloud.
Hybrid Cloud.

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Public Cloud
The cloud infrastructure is made
available to the general public or a large
industry group and is owned by an
organization selling cloud services.

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Private Cloud
The cloud infrastructure is operated
solely for a single organization. It may be
managed by the organization or a third
party, and may exist on-premises or off-
premises.

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Community Cloud
The cloud infrastructure is shared by
several organizations and supports a
specific community that has shared
concerns (e.g., mission, security
requirements, policy, or compliance
considerations). It may be managed by
the organizations or a third party and
may exist on-premises or off-premises.

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Hybrid Cloud
The cloud infrastructure is a composition
of two or more clouds (private,
community, or public) that remain unique
entities but are bound together by
standardized or proprietary technology
that enables data and application
portability (e.g., cloud bursting for load-
balancing between clouds).

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Private VS Public Cloud

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Benefits of Cloud Computing
Business Benefits of Cloud
Computing
Technical Benefits of Cloud
Computing

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Business Benefits
Almost zero upfront infrastructure
investment
Just-in-time Infrastructure
More efficient resource utilization
Usage-based costing
Reduced time to market

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Technical Benefits
Automation – “Scriptable infrastructure”
Auto-scaling
Proactive Scaling
More Efficient Development lifecycle
Improved Testability
Disaster Recovery and Business
Continuity

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Opportunities of Cloud Computing
End consumers.
Business customers.
Developers and Independent Software
Vendors (ISVs).
Saas
Saas
Saas

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Cloud computing – Google Apps
Email, chat.
Google App Engine

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Google App Engine

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Google App Engine

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Google App Engine
Google App Engine?
Create application.

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Google App Engine?
Google App Engine enables you to build
web applications on the same scalable
systems that power Google applications.
App Engine applications are easy to
build, easy to maintain, and easy to
scale as your traffic and data storage
needs grow.
Easy to build 
Write local,
upload server
Easy to scale 
how many user,
how much data
easy to maintain  10
year (data & application)

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Google App Engine?
Cost  ?
Pay only for what you actually use.
Exceed the free quota of 500 MB of storage
and around 5M pageviews per month.
Trial?  1GB store & 5M pageviews

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Create application
 build an App Engine application using
standard Java web technologies, such as
servlets and JSP.
 create an App Engine Java project with
Eclipse use the Google Plugin for Eclipse for
App Engine development.
 use the App Engine datastore with the
Java Data Objects (JDO) standard interface.
 upload your app to App Engine.
(Use SDK)

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Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities and Challenges of Cloud
Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing

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Grid computing vs Cloud computing
Same
Difference

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same
Increase computing.
Increase store.

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difference
Business model
Architecture
Application.

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Business model
Cloud  consumption basis.
Grid  project-oriented
Grid  academia
or government labs
Cloud  IBM,
Google, Microsoft …
TeraGrid : number
of service units
Hour, storage,
view…

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Architecture
communication
and
authentication
protocols
discovery, negotiation,
monitoring, accounting and
payment of
sharing operations on
individual resources
interactions
across collections
of
resources,
directory services
resources that
have been
abstracted/encap
sulated
collection of specialized
tools, middleware and
services on top of the
unified resources to
provide a
development and/or
deployment platform

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Application
Grid Computing emerged in eScience to
solve scientific problems requiring HPC.
Cloud Computing is rather oriented
towards applications that run
permanently and have varying demand
for physical resources while running.
the well-known CRM SaaS Salesforce.com.

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References
[1] Introduction to Cloud computing White paper,
Sun Microsystems, June 2009.
[2] Lewis Cunningham, Cloud Computing with
Amazon and Oracle, 2008.
[3] Michael Armbrust et al, Above the Clouds: A
Berkeley View of Cloud Computing, Electrical
Engineering and Computer Sciences
University of California at Berkeley, February
2009.

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References
[4] Jinesh Varia, Architecting for the Cloud: Best
Practices, Amazon, May 2010.
[5] John W. Rittinghouse, James F. Ransome,
Cloud Computing Implementation, Management
and Security, CRC Press, 2010.
[6] Paul T. Jaeger, Jimmy Lin, Justin M. Grimes,
Cloud Computing and Information Policy:
Computing in a Policy Cloud?, Journal of
Information Technology & Politics, May 2010.

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References
[7] Security Guidance for Critical Areas of Focus in
Cloud Computing V2.1, Cloud Security Alliance,
December 2009.
[8] Security Best Practices, Amazon, January 2010.
[9] Ian Foster, Yong Zhao, Ioan Raicu, Shiyong Lu,
Cloud Computing and Grid Computing 360-
Degree Compared, Grid Computing
Environments Workshop, 2008.

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References
[10] Rajkumar Buyya, Chee Shin Yeo, and
Srikumar Venugopal, Market-Oriented Cloud
Computing: Vision, Hype, and Reality for
Delivering IT Services as Computing Utilities,
International Conference on High Performance
Computing, 2008.
[11] http://www.salesforce.com/cloudcomputing/
[12] http://aws.amazon.com/ec2/

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Contact
KhangBKIT@gmail.com
hoaitrunghl@gmail.com

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