PPT Slides - California State University Channel Islands
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Transcript PPT Slides - California State University Channel Islands
Enterprise Architecture,
IT Infrastructure, and
Cloud Computing
Minder Chen, Ph.D.
CSU Channel Islands
Martin V. Smith School of Business and Economics
[email protected]
© Minder Chen, 1995-2014
EA and IT Infrastructure - 1
Big Picture
Need: Resilience,
Flexibility, Opportunism
Context
Business
Strategy
Focus:
“Processized”
Analysis –
Vocabulary
Metrics
Business
Processes
Drivers: People,
Process, Information,
Relationships
IT
Strategy
Focus:
Governance
Portfolio
Architecture
Sourcing
Approach:
Business
Capabilities
© Minder Chen, 1995-2014
IT Solutions
Cost/Value
Analysis
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Zackman Framework
© Minder Chen, 1995-2014
Source: http://www.zifa.com/framework.pdf EA and IT Infrastructure - 3
Heat Map
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IT Infrastructure
• “The hardware, software, and telecommunication/
networking systems or equipment together provide the
underlying foundation to support the organization’s goals.”
© Minder Chen, 1995-2014
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© Minder Chen, 1995-2014
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Web-based IT Infrastructure
3 (N)-Tier Application
Architecture
User
Interface
App.
Process
Data
Software
Applications
Firewall
Browsers
HTTP
TCP/IP
© Minder Chen, 1995-2014
WWW
Internet Run dynamic
DBMS
business logic
components
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Stages in IT Infrastructure Evolution
Mainframe/Mini Computers
Personal Computer
Client/Sever Computing
Web-based enterprise applications
Cloud Computing/mobile device
BYOD (Bring Your Own Devices)
© Minder Chen, 1995-2014
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The Network Is the Computer
• "Sun has always been very early, and often way
too early with a lot of our ideas.
• For example, in the '80s we were preaching that
the network is the computer.
• Shame on us for not summing it up in one word
– cloud.“
– Scott McNealy
© Minder Chen, 1995-2014
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On the Cloud
• The cloud symbol is often used as a notation as a
network in the a system architecture diagram.
© Minder Chen, 1995-2014
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Virtualization
# of
Data Centers
in America?
7,000
Economist Survey on IT, 2008
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Service Utilization
% of Utilized
Server Capacity
on Average?
6%
IDC, 2008
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Over Provisioning = Waste
Resources
Capacity
Demand
Time
13
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Without Virtualization
•
•
•
•
•
© Minder Chen, 1995-2014
All require same power
All emit same heat
All require physical space
Setup, (re-)configuration
Maintenance, support…
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With Virtualization
Flexibility
Rapid provisioning
Disaster Recovery
High Availability
Automation
Systems Management
integration
Adaptive Datacenter
© Minder Chen, 1995-2014
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Definition of Cloud Computing
• The NIST definition of cloud computing:
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.
• The ability for end users to utilize parts of bulk
resources and that these resources.
© Minder Chen, 1995-2014
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Characteristics of Cloud Services
NIST identifies several characteristics for a service to be
considered “Cloud”:
• On-demand self-service: The ability for an end user to
sign up and receive services without the long delays
that have characterized traditional IT.
• Broad network access: Ability to access the service via
standard platforms (desktop, laptop, mobile etc).
• Resource pooling: Resources are pooled across
multiple customers.
• Rapid elasticity: Capability can scale to cope with
demand peaks.
• Measured Service: Billing is metered and delivered as a
utility service can be acquired quickly and easily.
http://resources.idgenterprise.com/original/AST-0032300_Understanding_the_Cloud_Computing_Stack.pdf
© Minder Chen, 1995-2014
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Platform Continuum
On-Premises
Servers
• Bring your own
machines, connectivity,
software, etc.
• Complete control
• Complete responsibility
• Static capabilities
• Upfront capital costs
for the infrastructure
© Minder Chen, 1995-2014
Hosted
Servers
• Renting machines,
connectivity, software
• Less control
• Fewer responsibilities
• Lower capital costs
• More flexible
• Pay for fixed capacity,
even if idle
Cloud
Platform
• Shared, multi-tenant
infrastructure
• Virtualized & dynamic
• Scalable & available
• Abstracted from the
infrastructure
• Higher-level services
• Pay as you go
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Deployment Models: Cloud Computing
• Private cloud, Community cloud, Public cloud,
Hybrid cloud
Source: http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
© Minder Chen, 1995-2014
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Fulfilled by
Amazon
Software as a service
(SaaS)
http://www.salesforce.com/
PaaS
Google AppEngine
http://aws.amazon.com/
© Minder Chen, 1995-2014
Amazon's EC2 (Elastic Compute Cloud)
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Cloud-based Storages/Apps
• DropBox
• Google’s GoogleDocs
• Microsoft SkyDrive
• Amazon Cloud Drive
• Apple’s iCloud
© Minder Chen, 1995-2014
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Fulfilled By Amazon
Source:
• http://services.amazon.com/fulfillment-by-amazon/how-it-works.htm
• http://amazongenius.com/fulfillmentbyamazon/
© Minder Chen, 1995-2014
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Technology drivers of infrastructure evolution
• Moore’s law and micro-processing power
Computing power doubles every 2 years
Contrary factors: Heat dissipation needs, power
consumption concerns
Nanotechnology: May shrink size of transistors to width
of several atoms
• Law of Mass Digital Storage
The amount of data being stored each year doubles
• Metcalfe’s Law and network economy
Value or power of a network grows exponentially as a
function of the number of network members
As network members increase, more people want to use it
(demand for network access increases)
http://www.emc.com/collateral/demos/microsites/idc-digital-universe/iview.htm
© Minder Chen, 1995-2014
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Advancing Rates of Technology (Silicon, Storage, Telecom)
Smaller & faster
& cheaper
© Minder Chen, 1995-2014
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Data Volume
210 =1028
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Storage: Falling Costs and Rising Investment
http://www.emc.com/collateral/about/news/idc-emc-digital-universe-2011-infographic.pdf
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Backup Slides
© Minder Chen, 1995-2014
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