1. This Presentation Courtesy of the
International SOA Symposium
October 7-8, 2008 Amsterdam Arena
www.soasymposium.com
info@soasymposium.com
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Virtual Service Oriented Grids:
A Prescription for Scalable SOA
1st International SOA Symposium
Enrique Castro-Leon
enrique.g.castro-leon@intel.com
Intel Corporation
Version 1.0
October 8th, 2008
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Copyright © 2008, Intel Corporation. All rights reserved.
Intel Confidential 1

2. Legal Disclaimers
This paper is for informational purposes only.
INTEL MAKES NO WARRANTIES, EXPRESS OR
IMPLIED, IN THIS SUMMARY.
The Intel brand and logo are trademarks of Intel
Corporation in the U.S. and other countries
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Preview
Convergence of
– Virtualization
– SOA
– Grids/Distributed computing
Modular deployment of service-based applications
– Servicelets for enterprises large and small
– Reaching out to small & medium businesses and emerging
markets
Strategic Opportunities
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3. Challenges for Delivering IT Services
IT services in
Underutilized •Developed & emerging economies,
Hardware •Governments,
Too Many
Resources •Companies small & large Assets
Average utilization of to Manage
servers <15 percent Intel IT receives
560,000 alerts per week
Increasing
complexity Power, Cooling,
Management, Automation,
Security, virtualization, Space
Shorter time to Market By 2009 41.7%
Datacenters will run out
of power capacity
Barriers
to Expansion
70 percent of IT budget to
keep the business running Inadequate
Increasing infrastructure
Total Cost
Skills Shortage Developing
Disruptions in workforce economies
of Ownership and project completion
USD 2,000 per year to power &
cool one server
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Opportunities
Transform Information into
• A competitive advantage in the emerging wave of global
business ecosystems
• A tool for social & economic progress and advancement
Customers
• Media services — secure anytime, anywhere,
Mobile
any device
Digital Consumer
• Business collaboration, social networking and
Offices
social computing
Data
Center • End-to-end intelligence computing across
Mobile
datacenters
Workforce
Outsourcer • Real-time business intelligence driving predictive
decision-making
Factory /
Warehouse
• Emerging technologies enable super-agile
business services and infrastructure
ISP / • Increase transparency & citizen access to
Telco government services
Supplier
IT services get developed faster with increased reach
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4. Common Characteristics of SOA
Virtualization and Grids
Historical trend for decoupling data, applications and compute
engines and more dynamic behaviors
• Virtualization decouples applications & OS from the hardware platform
• SOA decouples data from applications
• Grids provide dynamic (on-the-fly) resource management
VSGs: Virtualization, SOA and Grids Composable
• Relies on Standardization
• Guided by Governance
• Policy based and SLA driven
• Leverages abstraction layers Interoperable SOA Re-Usable
• Driven by reusability
• Centralized management but distributed architecture
• Dynamic behavior means business applications can Loosely
be assembled and deployed orders of magnitude Coupled
faster than traditional methods
VSGs: decoupling of data, apps, compute engines + dynamic resource allocation = agility and flexibility
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Economics of SOA
$ $
IT Budget
IT Budget
Legacy
Budget cost: Budget Outsourcing
available for 70% & available for plan
business growing business adopted
innovation innovation
Today Time Time
1. The Overwhelming Cost of Legacy 2. Effect of Outsourcing
$
IT Budget $
IT Budget
Budget Technology SOA
refreshes Budget
available for gets
available for
business adopted
business
innovation
innovation
Time
Time
3. Effect of New Technology 4. SOA: Structural Cost Reduction
Combine outsourcing + new technology + SOA for structural cost reduction
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5. From Monoliths to Inside-out SOA
S S
Presentation Logic S S
Application Logic S
S S
Database S
Network S
Servers
…
Inside-out approach
– Service enable or outsource service
Application stack paradigm components
– Hard binding between apps & hardware – Loose coupling of services
– Monolithic design & implementation – HW & implementation agnostic
– Non-standard message exchange – Common messaging std & schema
– Long-lead time to install and upgrade – Less concern about security in intranet
– High cost of maintenance & support – IT owns service setup & maintenance services
Inside-out SOA eliminates duplication across stacks
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Inside-Out SOA becomes Outside-in SOA
S S
S S
S S S S
S S
S S S
S S
S
S
S
Outside-in SOA paradigm: apps built from resources that can be
– Global – Ex: Amazon.com Elastic Compute Cloud* EC2*
– Local – for localization and factor in local laws/regulations
– In-sourced – In-house secret sauce
– Out-sourced – Generic servicelets for hire
S = servicelet or microservice: self-sufficient, s/w + h/w unit composable with Web services technology
Outside-in SOA expands scope of SOA to SMBs and emerging markets
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Intel Confidential 5

6. Technology Leapfrogging:
The Case for SMBs and Emerging Economies
Is a large enterprise needed to provide
critical mass to servicelet environment? S S
– Not at all S S
– An economic ecosystem or a state can
S
provide such environment under the outside-
S
in paradigm S
S
SMBs & emerging markets need not
retrace the inside-out/outside-in process S
– Focus needs to be in building healthy
servicelet ecosystem
– New model applies for servicelet adoption
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Servicelet Model for VSG Adoption in Emerging Markets
Phase Name Description
1 Undifferentiated • Initial phase
phase
• Entering servicelet market
2 Consumer phase • Bootstrap phase
• Augment pre-existing servicelets with locally produced
servicelets
• Limited number of verticals
• The emerging market is a net importer of servicelets.
3 Producer phase • Producer phase
• Locally-built servicelets are exported for consumption outside
initial ecosystem.
• Small companies grow to fund in-sourced projects.
• Large companies expose internal servicelets for outside
consumption.
4 Innovator phase • Providers start branching into new verticals
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7. Infrastructure for VSGs
Federated
Business
Services [FBS]
Application
& Data
Services [ADS]
Virtual
Infrastructure
Services [VIS]
13 October 22, 2008
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Service Based Infrastructure
Dynamic Data Center usage models
Servicelet Deployment/Orchestration
Servicelets
Composite
Virtual Service
Platforms
Infrastructure Abstraction Layer Federated
(Server/Storage/Network Provisioning/Mgmt) Business
Services [FBS]
Integrated
VSG Infrastructure Infrastructure Fabric
Application
& Data
Resource Pools
Services [ADS]
Storage vResource
vResource
pResource
NIC NIC
NIC
VMM
VMM
Virtual
VM VM VM VMIO Infrastructure
VM VM VM VMIO Services [VIS]
CPU CPU CPU IO
VM & Workload Mobility
A new approach for building the IT infrastructure
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8. Servicelet Examples
Generic services: Government services:
– Credit/debit/cash transactions – Paying utility bills
– Personal commerce – Filing tax returns
– Transaction aggregation – Sales tax/VAT collection
– Credit to cash storefronts – Vehicle registration
– Theft prevention and recovery of mobile – Business licenses
devices (ultramobile devices, laptops) – Polling/Elections support (information)
Education: Consumer services:
– Course registration and course development. – Data presence service
– Purchasing textbooks – Storage and backup
– Online tests – Virtual drives
– Dissemination of course content – Security and virus scans
– Prepaid cards for food, communication – PC repair
Supply Chain – Media delivery
– B2B exchanges
– From EDI to RosettaNet to servicelets
– MySAP and customization
Servicelets become the foundation for business applications across multiple verticals
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Example: Virtualization Enabling
Scalability in an Outside-In Environment
• C: Client/Presentation layer
• L: Business logic layer
• D: Database/storage layer with
a servicelet outsourced storage
C L D
In the Internet nobody knows you’ve gone virtual
– Virtualization enables multiple instances of a 3-tier application to be deployed to one physical server S
It does not matter whether a resource is physical or virtual as long as it meets pre-agreed SLAs
Sell 1/30 of a server for the ¼ the price of a physical server
– This differential a business value opportunity for purveyors of virtualized resources vs. traditional physical resources
Virtualization h/w support facilitates transition to supporting multiple application instances
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9. Using Servicelets to Build a
Composite Application
Laptop loss
management
service
Credit card
service Data presence
service
GPS location
service Telco G3/G4
wireless data
Laptop theft is a worldwide problem service Backup
ISP wireless service
Incidents are expensive data service
– Cost of stolen laptop in US VA incident ~$2,000 Physical
recovery
– Information on 26 million people compromised service
– Cost to recover from incident: ~ $500 million (ZDNet) Authentication Storage
Always connected devices enable admin actions service service
– Remotely recover data or disable device according to policy
– Actions are policy (business) driven, not device driven
Solutions available today but limited to large providers
– SprintSecure* Laptop Guardian using Alcatel-Lucent Evros* technology
– Outside-in approach will enable thousands of providers worldwide
Servicelet modular approach facilitates solution integration
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Conclusions and Strategic Opportunities
Emerging XML Web services technology favors smaller,
granular services
– Create new applications (composite services) by “snapping”
servicelets together
Servicelets raise level of abstraction
– Build applications by composing services
– Lesser needs for sophisticated software engineering
– Investment for servicelet infrastructure done once up front
– Lowers bar for participants
Opportunities for emerging markets
– Microservices embody knowledge of local laws
– Cottage industry for microservices
– Niches easily reachable yet paradigm is scalable
Extraordinary speedup in the learning curve
– Fast “mutations” = accelerating innovation
– Viral development
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Intel Confidential 9

10. For Further Reading…
Upcoming book by Intel Press
Available October 2008
Advance copies of this book will be sent
free of charge to attendees of this
presentation upon request
enrique.g.castro-leon@intel.com
Copyright © 2008 Intel Corporation. All rights reserved.
ISBN 978-1-934053-10-2
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Intel Confidential 10