Enrique Castro Leon Virtual Service Oriented Grids

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Virtual Service Oriented Grids:A Prescription for Scalable SOA

1st International SOA Symposium

Enrique Castro-Leon

[email protected]

Intel Corporation

Version 1.0

October 8th, 2008



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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4

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



Challenges for Delivering IT Services

Underutilized HardwareResources

Average utilization of servers <15 percent

Barriersto Expansion

70 percent of IT budget to keep the business running

IncreasingTotal Cost

of OwnershipUSD 2,000 per year to power &

cool one server

Too ManyAssets

to ManageIntel IT receives

560,000 alerts per week

Increasing complexity

Management, Automation, Security, virtualization, Shorter time to Market

Power, Cooling, Space

By 2009 41.7% Datacenters will run out

of power capacity

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Skills ShortageDisruptions in workforceand project completion

Inadequate infrastructure

Developingeconomies

IT services in•Developed & emerging economies,

•Governments,

•Companies small & large


• Media services — secure anytime, anywhere, any device

• Business collaboration, social networking and social computing

• End-to-end intelligence computing across datacenters

• Real-time business intelligence driving predictive decision-making

• Emerging technologies enable super-agile business services and infrastructure

• Increase transparency & citizen access to government services

Opportunities

Transform Information into• A competitive advantage in the emerging wave of globalbusiness ecosystems

• A tool for social & economic progress and advancement

Data Center

Factory / Warehouse

Digital

Offices

Mobile Workforce

Mobile Consumer

ISP / Telco

Supplier

Outsourcer

Customers

IT services get developed faster with increased reach

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Common Characteristics of SOA Virtualization and Grids

VSGs: Virtualization, SOA and Grids

• Relies on Standardization

• Guided by Governance

• Policy based and SLA driven

• Leverages abstraction layers

• Driven by reusability

• Centralized management but distributed architecture

• Dynamic behavior means business applications can be assembled and deployed orders of magnitude faster than traditional methods

Interoperable

LooselyCoupled

Re-Usable

Composable

SOA

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: decoupling of data, apps, compute engines + dynamic resource allocation = agility and flexibility

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Economics of SOA

IT Budget

Legacy

cost:

70% &

growing

Budget

available for

business

innovation

Today Time

$

1. The Overwhelming Cost of Legacy

$

Budget

available for

business

innovation

IT Budget

Outsourcing

plan

adopted

Time

2. Effect of Outsourcing$

IT Budget

Technology

refreshes

Time

Budget

available for

business

innovation

3. Effect of New Technology

IT Budget

Time

$

SOA

gets

adopted

Budget

available for

business

innovation

4. SOA: Structural Cost Reduction

Combine outsourcing + new technology + SOA for structural cost reduction



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Servers

Network

Database

Application Logic

Presentation Logic

From Monoliths to Inside-out SOA

Application stack paradigm

– Hard binding between apps & hardware

– Monolithic design & implementation

– Non-standard message exchange

– Long-lead time to install and upgrade

– High cost of maintenance & support

…

SS

S

S

S

S

SS

S

Inside-out approach

– Service enable or outsource service

components

– Loose coupling of services

– HW & implementation agnostic

– Common messaging std & schema

– Less concern about security in intranet

– IT owns service setup & maintenance services

Inside-out SOA eliminates duplication across stacks


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Inside-Out SOA becomes Outside-in SOA

SS

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

SS

S

S

S

S

SS

S

= servicelet or microservice: self-sufficient, s/w + h/w unit composable with Web services technologyS

Outside-in SOA expands scope of SOA to SMBs and emerging markets



Technology Leapfrogging:The Case for SMBs and Emerging Economies

Is a large enterprise needed to provide critical mass to servicelet environment?

– Not at all

– An economic ecosystem or a state can provide such environment under the outside-in paradigm

SMBs & emerging markets need not retrace the inside-out/outside-in process

– Focus needs to be in building healthy servicelet ecosystem

– New model applies for servicelet adoption

SS

S

S

S

S

S

S

S


Servicelet Model for VSG Adoption in Emerging Markets

Phase Name Description

1 Undifferentiated phase

• Initial 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



Infrastructure for VSGs

October 22, 200813

Virtual Infrastructure Services [VIS]

Application& Data

Services [ADS]

FederatedBusiness

Services [FBS]


Service Based InfrastructureDynamic Data Center usage models

A new approach for building the IT infrastructure

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Servicelet Deployment/Orchestration

VM VM VM VMIO

NIC

Infrastructure Abstraction Layer(Server/Storage/Network Provisioning/Mgmt)

Infrastructure Fabric

CPU IO

NIC

pResource

VM VM VM VMIO

NIC

Integrated

VSG Infrastructure

CPU CPU

VM & Workload Mobility

Virtual Service Platforms

Co

mp

osit

e

Servic

ele

ts

VMMVMM

Resourc

e P

ools

vResourcevResourceStorage

Virtual Infrastructure Services [VIS]

Application& Data

Services [ADS]

FederatedBusiness

Services [FBS]



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Servicelet Examples

Generic services:

– Credit/debit/cash transactions

– Personal commerce

– Transaction aggregation

– Credit to cash storefronts

– Theft prevention and recovery of mobile devices (ultramobile devices, laptops)

Education:

– Course registration and course development.

– Purchasing textbooks

– Online tests

– Dissemination of course content

– Prepaid cards for food, communication

Supply Chain

– B2B exchanges

– From EDI to RosettaNet to servicelets

– MySAP and customization

Government services:

– Paying utility bills

– Filing tax returns

– Sales tax/VAT collection

– Vehicle registration

– Business licenses

– Polling/Elections support (information)

Consumer services:

– Data presence service

– Storage and backup

– Virtual drives

– Security and virus scans

– PC repair

– Media delivery

Servicelets become the foundation for business applications across multiple verticals


Example: Virtualization Enabling Scalability in an Outside-In Environment

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

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

S

DLC

• C: Client/Presentation layer

• L: Business logic layer

• D: Database/storage layer with a servicelet outsourced storage



Using Servicelets to Build a Composite Application

Laptop loss management service

GPS location service Telco G3/G4

wireless data service

ISP wirelessdata service

Physical recovery service

Data presence service

Authentication service

Storage service

Backup service

Credit card service

Laptop theft is a worldwide problem

Incidents are expensive

– Cost of stolen laptop in US VA incident ~$2,000

– Information on 26 million people compromised

– Cost to recover from incident: ~ $500 million (ZDNet)

Always connected devices enable admin actions

– 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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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 [email protected]

Copyright © 2008 Intel Corporation. All rights reserved.

ISBN 978-1-934053-10-2