صفحه 1:
۱
GET CONNECTED
PEOPLE. TECHNOLOGY. RESULTS
Service
Oriented Cloud
Computing
Infrastructure
E.G.Nadhan
EDS Distinguished SE
June, 2009
صفحه 2:
Introduction: E.G.Nadhan
EDS Distinguished SE,
Lead Technologist, Global Strategic Capabilities
25 years of experience in the IT industry
Chief architect for the Applications Modernization
grrerung and leveraged his experience in enterprise
integration enabled by SOA principles.
Provides global thought leadership and technical
oversight to the teams building out strategic
capabilities regarding modernization and SOA
Open Group master IT architect
Represents EDS in the Open Group Architecture Forums
and is the co-chair for the Service Oriented
Infrastructure project within the Open Group SOA working
group.
Member of the Doctor of Management and Information
jechnotogy Advisory Board at Lawrence Technotogicat
University in the United states.
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صفحه 3:
| Objective
Define the synergies between SOI and
Cloud Computing to realize
exponential gains across the
extended enterprise
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صفحه 4:
۱ Outline
Service Oriented Infrastructure Project
Team
SOI Defined
Cloud Computing Defined
SOI Model
Cloud Computing Model
Bringing SOI and Cloud Computing together
Conclusion
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صفحه 5:
Open Group
SOI Team
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| Open Group SOI Team
A Service-Oriented Infrastructure
forms an appropriate foundation for
a service-oriented Application
Architecture and can be regarded as
a natural part of a service-oriented
Enterprise Architecture.
Co-chairs:
—E.G.Nadhan, HP
Michael Salsburg, Unisys
Hemesh Yadav, Wells Fargo
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صفحه 7:
| Open Group SOI Team Status
Accomplishments
service Oriented Infrastructure Framework
vers
made public
Contributed Service Oriented
Infrastructure chapter in the
SOA Source Book
Work in progress
Next version of the Service Oriented
Infrastructure Framework
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صفحه 8:
SOI Defined
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Service Oriented
Infrastructure
Demand Driven Infrastructure
Service Level Framework
Description
Using service orientation for the
infrastructure provides a way to define
dependencies of higher level business
services on the lower-level
infrastructure services, down to the
actual physical resources, such as
network appliances, storage and servers.
Service orientation provides a framework
to define service level objectives and
measure the delivery of those objectives
Risk moves from the consumer to supplier.
Supplier needs to ensure that the
requisite infrastructure is in place to
meet demand.
Consume as you need
Feature
Demand driven infrastructure
Service Level Framework
Consume as you need
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| LO ratrel & Gapplvd
SOI: Demand Driven
Infrastructure
لم
ددم ج12
صفحه 11:
00
Computing
Defined
صفحه 12:
Cloud Computing
Universal access
Scalable Services
New Application Service Models
Feature Description
Universal access Cloud Computing’s services are ubiquitous — they
can be accessed from workstations and other
devices, such as cell phones
Scalable Services Scale up and scale out. Business Driven
Resourcing, Highly scalable, with infrastructure
managing the scaling, not applications. Cloud
computing allows for'elasticity, where capital
and operational expenses for resources are only
incurred when they are needed
New Application Supports parallel and persistent services
Service Models
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صفحه 13:
SOI Model
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Human
Services
of the SOI Model
Business
Process
Business
Services
Application
Services
Infrastructure Services
Virtualized Services
Physical Services
State
صفحه 15:
00
Computing
Model
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۱ Simple Cloud Model
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۱ Simplified Data Centre
Topology
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Services Framework at the Data Center
* The SOI team works to develop a coherent perspective while factoring
in various forward thinking perspectives from member companies
Infrastructure services framework of a new enterprise data center
۹ 7
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The Evolving Cloud
اک سس ]
mat
Business Mid
Market Enterprise Contract «a
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Segmentation of compute models to drive down
Enterprise
+ Transactional intensive, high
input/output, requires vertically
scalable SMP, high-availability
infrastructure components, zero
downtime, journaling, and
typically has 24 - 100+
processors
Commodity
Virtualized compute mot
using commodity based
compute and storage |
components.
costs
Classic (Legacy)
+ Transaction based, moderate
input/output, requires
application specific and often
dedicated infrastructure
components, standard DR,
typically < 24 processors
Cloud
Highly scalable and elastic
services that can be easily
consumed via Internet
technologies through a
commodity compute model
صفحه 21:
Bringing SOI
and Cloud
Computing
Together
صفحه 22:
Computing
Universal
1 ©
اس سوت
Framework
Next
Generation
Scaling
Service Models
Service Oriented Cloud
Infrastructure
Operational
BB transparency Seen
Pee
cera
Scalable
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Scalable
Ste
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MOM Cte olt4
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35 وان وهی
|
56۳۷۱6۵ ۵۵6۱5
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The new world
XaaS
Next-generation Scaling
Operational Transparency
Governance and cost control
Synergies Description
Xaas Software as a service requires an understanding of the service
objectives and the accounting of service use and quality. The
underlying reference model for SOI provides the service-oriented
framework from which objectives, use and quality can be
determined.
Next-generation | Scale up and scale out
seating
Operational Cloud, couputing guarantees certain levels of service to the
Transparency Cloud's customers. When that service degrades, it is necessary
to understand the relationship of infrastructure activity to
these services so that the situation can be remediated. SOI
provides a framework to determine these relationships
Governance and Pay for use models .. Rules based governance
cost control
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صفحه 24:
Conclusions
The SOI model enables the provision of
infrastructure services that enable the seamless
execution of business processes through applications
in an integrated fashion within a data center.
Cloud Computing enables the extension of this
concept across data centers while leveraging the
compute resources to better accommodate the flexible
demand in a consumption based model.
At a high level, the SOI model does not change with
the advent of Cloud Computing. However, the model
can be executed in a more efficient manner realizing
significant financial benefits by leveraging the
compute resources made available across the extended
enterprise by the Cloud Computing paradigm.
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