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Cloud Computing market size has significant
expectations of growth and revenue
By 2012, customer spending on IT cloud services will
grow almost threefold, to $42 billion – IDC
Gartner says the size of the 2008 cloud computing
market stood at $46 billion and will jump to $150
billion by 2013 (includes AdWords)
Cloud computing markets at $36 billion 2008 are
expected to reach $160.2 billion by 2015 –
Wintergreen Research
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Most Fortune 500 companies are expected to
implement internal clouds of some sort
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Analyst projections are consistent due to significant
perceived opportunities by venture capitalists
Gartner
Hype
Cycle,
July
2009
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“Cloud computing has become
the center of investment and
innovation.”
Nicholas Carr, 2009 IDC
Directions
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Cloud computing provides IT innovation
capabilities unimaginable in the past
Opex vs Capex
Flexible Computing
Business agility
Application scalability
Disaster recovery
Green solutions
Time to market
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Elasticity
Economies of scale
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Working Definitions of Cloud Computing points
to improved business agility benefits
Cloud computing is a model for enabling convenient, on-demand network
access to a shared pool of configurable computing resources (e.g.,
networks, servers, storage, applications, and services) that can be rapidly
provisioned and released with minimal management effort or service
provider interaction
A standardized IT capability (services,
software, or infrastructure) delivered
via Internet technologies in a pay-per-
use, self-service way
A style of computing in which
massively scalable IT-enabled
capabilities are delivered “as a
service” to multiple customers using
Internet technologies
This cloud model promotes availability and is composed
of five essential characteristics, three delivery models,
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and four deployment models
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Cloud solutions need to meet some key
characteristics
On-demand self-service
Ubiquitous
network access
Location
independent
resource pooling
Rapid elasticity
Measured service
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Shared
infrastructure
Advanced
Virtualization
Multi-tenancy
Lower time to
value
Inability to meet these characteristics will reduce the
benefits harnessed from cloud computing
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Cloud technology adoption can be categorized
under three major delivery models
Business Process as a Service (BPaaS)
Software as a Service (SaaS)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS)
Other Delivery Models
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– Database as a Service
– Government as a Service
– STorage as a Service
– Information as a Service
– Identity as a Service
– E-mail as a Service
– ERP as a Service
– TAX as a Service
– DEsktop as a Service
To be considered “cloud” they must be deployed on top
of cloud infrastructure that has the key characteristics
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Each delivery model has unique characteristics
with leading providers
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Characteristics *-As-A-Service
Examples
Activities delivered remotely
combining multiple resources bound
together
Business
Process
PayPal, Fedex, ADP
Application available on demand to
end user used by software
consumers
Software or
Application
Salesforce, Webex,
Workday(HR), Google Apps
Storage, compute and other
services to simplify application
development, especially of web
applications mainly used by
application developers
Platform Azure, Google AppEngine,
Force.co.uk
Compute power, storage and
networking infrastructure over the
internet, provided as a virtual
machine image used by developers
Infrastructure Amazon, GoGrid, FlexiScale,
RackSpace
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Cloud technology adoption falls under different
deployment models
Private cloud
–enterprise owned or leased
Community cloud
–shared infrastructure for specific community
Public cloud
–Sold to the public, mega-scale infrastructure
Hybrid cloud
–composition of two or more clouds
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Two types: internal and external
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Cloud computing implementation has some
common characteristics
Massive scale
Virtualization
Free software
Autonomic computing
Homogeneity
Geographically distributed systems
Advanced security technologies
Service oriented software
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Some of these characteristics will be limited when
implementing private clouds
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The relationships between standards and taxonomies
can be used as a starting point to lay out a roadmap
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Building a
small, low-risk
and limited
term cloud
implementation
within an
enterprise can
provide the
foundation to
exploit
additional
benefits as
cloud
technology
matures
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Steps to take for those looking for a
career in cloud computing
Evaluate and study the market
Match your skills
Find your niche
Develop specific strengths
Understand the ecosystem
Market yourself
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SAAS: Use provider’s applications over a network
PaaS: Deploy customer-created applications to a cloud
IaaS: Rent processing, storage, network capacity, and other fundamental computing resources