Service Oriented Cloud Computing Infrastructure
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Transcript of Service Oriented Cloud Computing Infrastructure
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Produced in cooperation with:
HP Technology Forum & Expo 2009
© 2009 Hewlett-Packard Development Company, L.P.The information contained herein is subject to change without notice
Service Oriented Cloud Computing InfrastructureE.G.Nadhan
EDS Distinguished SE
June, 2009
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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 offering 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 Technology Advisory Board at Lawrence Technological University in the United States.
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Objective•Define the synergies between SOI and Cloud Computing to realize exponential gains across the extended enterprise
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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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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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Open Group SOI Team Status•Accomplishments• Service Oriented Infrastructure Framework v 1.5 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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SOI Defined
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Service Oriented Infrastructure
• Demand Driven Infrastructure• Service Level Framework • Consume as you need
Feature Description
Demand driven infrastructure 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 Level Framework Service orientation provides a framework to define service level objectives and measure the delivery of those objectives
Consume as you need Risk moves from the consumer to supplier. Supplier needs to ensure that the requisite infrastructure is in place to meet demand.
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SOI: Demand Driven Infrastructure
ResultsIT Capability
Demand
Control & Supply
+/-
ResultsIT Capability
Demand
Control & Supply
+/-
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Cloud Computing Defined
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Cloud Computing• Universal access• Scalable Services• New Application Service Models
Feature DescriptionUniversal 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 Service Models
Supports parallel and persistent services
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SOI Model
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ApplicationServices
Infrastructure Services
BusinessServices
BusinessProcess
Human Services
Physical Services
Virtualized Services
State of the SOI Model
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Cloud Computing Model
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Simple Cloud Model
Cloud Infrastructure
(e.g. Billing, VMs)Cloud Storage
(e.g., Database)
Cloud Service
(e.g. Queue)Cloud Platform
(e.g. Web Front-End)
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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
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Sta
ndard
ized
Cust
om
ized
Cloud Computing
Computing paradigm in which tasks are assigned to a combination of connections,
software and services accessed over a network
The Evolving Cloud
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Segmentation of compute models to drive down costs
Commodity• Virtualized compute model
using commodity based compute and storage components.
Cloud• Highly scalable and elastic
services that can be easily consumed via Internet technologies through a commodity compute model
Classic (Legacy)• Transaction based, moderate
input/output, requires application specific and often dedicated infrastructure components, standard DR, typically < 24 processors
Enterprise• Transactional intensive, high
input/output, requires vertically scalable SMP, high-availability infrastructure components, zero downtime, journaling, and typically has 24 – 100+ processors
One size does not fit all !!!One size does not fit all !!!One size does not fit all !!!One size does not fit all !!!
SOI Model
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Bringing SOI and Cloud Computing Together
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Demand driven
infrastructure
Consume as
you need
Service Level
Framework
New
Service Models
Universal
access
Scalable
Services
SOASOI &
CC
Demand driven
infrastructure
Consume as
you need
Service Level
Framework
SOI
Service Oriented Cloud Computing Infrastructure
New
Service Models
Universal
access
Scalable
Services
CC
XaaS
Next
Generation
Scaling
Operational
Transparency
Governance
and cost
control
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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 scaling
Scale up and scale out
Operational Transparency
Cloud computing guarantees certain levels of service to the 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 cost control
Pay for use models … Rules based governance
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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.