accelerating information technology innovation enterprise technology ford motor company seamless...

Accelerating Information Technology Innovation

Enterprise TechnologyEnterprise TechnologyFord Motor CompanyFord Motor Company

Seamless Innovation Through the Power of Pervasive Computing

Vijay SankaranSeptember 19, 2005

Enterprise Technology/EAEFord Motor Company IT ET website URL

June 9, 20052

By 2005 there will be 35 billion microcontrollers, 750 million smart

sensors and 1.5 billion mobile information appliances

Microprocessors

Sensors

Data Devices

Networks

Software

Faster

Energy Efficient

Smarter

Adaptive

Smaller

The world is becoming increasingly connected through technology


June 9, 20053

In this rapidly changing environment, organizations must learn to be more adaptive

Adaptive EnterpriseAdaptive Enterprise

Pervasive ComputingPervasive ComputingDefragmentationDefragmentation

Ford Motor Company must embrace pervasive computing in its quest to be more adaptive

““It is not the strongest of the species that It is not the strongest of the species that survives nor the most intelligent, but the one survives nor the most intelligent, but the one

that is most responsive to change.” –Charles Darwinthat is most responsive to change.” –Charles Darwin


June 9, 20054

Innovation is the Only Method of Constant Improvement and Adaptation

Innovation will Meet the OEM Challenges of Today

Changing Customer Demand

Stagnating Demand

Atomization

Quicker Time-to-Market

Increased competition in

value chain

Overcapacity

Sales Pressures Creation Pressures

Methods for Success:

•Innovation allows a company to move faster than its competitors

•Innovation creates better end products

•Innovation delivers new solutions to old problems

•Innovative companies attract and retain better employees

•Innovation streamlines processes


June 9, 20055

Pervasive Solutions will Inject Adaptive Competencies into Ford Motor Company

Pervasive computing allows the enterprise to continually view and improve itself

Supply Chain: Increased control and flexibility through RFIDs

Supply Chain: Increased control and flexibility through RFIDs

Marketing: Context-awareness enables personalized advertisements

Marketing: Context-awareness enables personalized advertisements

Dealerships: Improves ability to tie experiences to brand image

Dealerships: Improves ability to tie experiences to brand image

Service: Simplifies ownership and repair

Service: Simplifies ownership and repair

Internal Efficiencies: Smart offices and asset tracking

Internal Efficiencies: Smart offices and asset tracking

Product: Exciting features, content and functionality

Product: Exciting features, content and functionality

Identity and Security

RecombinationRecombination

Seed, Select & AmplifySeed, Select & Amplify

Shop Floor: Increased monitoring and intelligent correction

Shop Floor: Increased monitoring and intelligent correction

Traffic System Integration: Ability to provide and receive traffic information

Traffic System Integration: Ability to provide and receive traffic information

Self-OrganizationSelf-Organization

Sense and RespondSense and RespondContinuousExperimentation

ContinuousExperimentation


June 9, 20056

Connectivity will Continue to Add Computing Capability to the Automobile

Connectivity will extend the driving experience outside the walls of the vehicle

Quality: preemptive warning of problems via a network of sensors

Quality: preemptive warning of problems via a network of sensors

Commonality: plug and play functionality Commonality: plug and play functionality

Personalization: Network area of reconfigurable chips

Personalization: Network area of reconfigurable chips

Drive Performance: Intelligent adjustments

Drive Performance: Intelligent adjustments

Short Range Connectivity: Bluetooth

Short Range Connectivity: Bluetooth

Long Range Connectivity: Wi-FiLong Range Connectivity: Wi-Fi

Data Uploads: TelematicsData Uploads: Telematics

Active Safety: Increased Automated Control

Active Safety: Increased Automated Control

Passive Safety: Object detection and action

Passive Safety: Object detection and action

Security: Stolen vehicle trackingSecurity: Stolen vehicle tracking

Powertrain: Advanced/Hybrid Controls

Powertrain: Advanced/Hybrid Controls

Fuel Economy: Path-finding Fuel Economy: Path-finding


June 9, 20057

Radio Frequency IDs will Enable Physical Objects to be Visualized in the Virtual World

RFIDs will allow total supply chain visibility and thus more dynamic control

Set cadenceSustain material control

Standardize hardware / software

Simplify material and parts handling

Stabilize the supply chain

Raw Material

Supplier

Manufacturing

Distribution

Dealerships

Customer

Future TrendingData Storage and

Management

Real-Time Inventory

Location Awareness

Dynamic Re-Routing


June 9, 20058

The Collaboration Strategy will Create New Tools and Methods to Exchange Ideas

Today’s Innovation requires collaboration between different disciplines

Data Sharing

File Sharing

Electronic Communication

Collaborative Management

Electronic Conferencing

Video Messaging

Virtual Workspaces

Advanced Interfaces

Management Tools

Knowledge Share

Social Networks

Instant Messaging

Immersive Environments Blogs

Wiki


June 9, 20059

Mobility will Allow Communication to Become Intertwined into Everyday Activities

Seamless mobility allows maximum user mobility with minimal user effort

Simplified

Increased Productivity

Reduced Cost

Homogenous NetworksHomogenous Networks

Reduction of Devices Reduction of Devices

Video EnablingVideo EnablingImproved Location Improved Location

Increased ServicesIncreased Services

Wireless LANsWireless LANs

Defragmentation Defragmentation

User DrivenUser InitiatedUser Initiated

No physical boundaries No physical boundaries


June 9, 200510

Various Technologies will Aid in Making Decisions in an Increasingly Complex World

En

viro

nm

enta

l Co

mp

lexi

ty

Data Mining allows known patterns to be detected from data

Data Mining allows known patterns to be detected from data

Simulation fully recreates system behavior

Simulation fully recreates system behavior

Neural Networks can group flat data into categories

Neural Networks can group flat data into categories

Statistical Methods can show trends in a well understood system

Statistical Methods can show trends in a well understood system

Agent Based Models show how entities interact to form system behaviors

Agent Based Models show how entities interact to form system behaviors

Genetic Algorithms detect and optimize system behavior

Genetic Algorithms detect and optimize system behavior

Increased computational power and graphic tools have created analytic techniques that can simplify complex systems


June 9, 200511

Abstracted Building Blocks – Standard components to quicken development and reduce dependencies

Flows – Seamless methods of information transfer

Statistical Aggregation – Mechanics to understand system stability

Tags – Methods of identifying agents

The Technology Fabric Optimizes the Environment for Pervasive Computing Through Core Enablers

The function of technology enablers will be determined by environment

Adaptive Networking Interoperability

Service Oriented Architecture Autonomic Computing

Identity and Security


June 9, 200512

Service Oriented Architecture (SOA) will add Technical Flexibility to Better Handle Complexity

Today’s IT environment contains 7 data center, 180,000 desktops, 250,000+ network elements and 2500+ application, leading to millions of interactions

D e a l e r S a l e s p e rs o n

E n t e r & C o n f i g u re

V e h i c l e Ord e r

P e rf o rm E d i t s , A g g re g a t e d S o l v e ,

& F o rm a t S a l e s C o d e s i n t o V OI

U n s c h e d u l e d Ord e rs

Order Managem ent SOI

S a l e s I n v o i c e s

S u p p l i e r R e l e a s e

S o l v e , B C E x p a n s i o n , a n d S e r i a l i z e o rd e r

S e r i a l i z e d Ord e rs

S e r i a l i z e d Ord e rs

S e q u e n c e d , B l e n d e d Ord e rs & S e g m e n t

M o v e s

D e t e rm i n e B u i l d D a y &

B l e n d #

Product Testing SOI (Prototype & Design Verification)

Enterprise Business Integration Model"Current State" for VIN / Vehicle Process, Data, and Application DependencyModified: 01-23-2004 by Jim Pettigrew

R e t r i e v e M F C s f ro m

e F D V S

S e n d M F C s & F e a t u re s f o r a P T / V L ,

M Y t o GP D f o r V a l i d a t i o n

P ro d u c t i o n L e v e l M B OM ,

P a rt s / V I N

V a l i d a t e P ro d u c t i o n U s a g e o f re l e a s e d e n g i n e e r i n g p a rt s

Services Managem ent SOI

U K V e h i c l e R e g i s t ra t i o n

d a t a

C l i f f o rd T h a m e s D B

M F A L C o d e s

C h e c k S h e e t D a t a

P F C s & M F C s

a t t a c h P F C s & M F C s t o s e rv i c e p a rt s a s re q u i re d t o a l l o w f o r a u n i q u e c a t a l o g u e

e n t ry

S e rv i c e P a rt s w i t h F e a t u re

c o d e s

M I P S

P u b l i s h C a t a l o g

S e rv i c e P a rt s C a t a l o g F i l e

E P C V e n d o rs

E x t ra c t o f V I N a d d s / c h a n g e s

w i t h f e a t u re c o d e s

V I N M a t c h i n g C a t a l o g

Manufactur ing SOI

V I N , R o t a t i o n # , a n d 8 5 0 2

D a t a

Quality Managem ent SOI

Sales Managem ent SOI

P ro g ra m f e a t u re s &

ru l e s

R e l e a s e d P ro t o t y p e P a r t s

w i t h u s a g e

P ri m a ry & M i n o r f e a t u re

c o d e s

D a i l y e x t ra c t o f V I N s w / V OC

S u p e r V S D

M a p f e a t u re s w h e re m i s s i n g

c o d i f i c a t i o n

E x t ra c t D a i l y V I N w i t h f e a t u re s

C o n s o l i d a t e d E x t ra c t o f V I N

a d d s & C h a n g e s

S p e c C h a n g e s , C a n c e l s , & R e b i l l s o n s e r i a l i z e d

o rd e rs

Ord e r S t a t u sA c c e p t e d S p e c C h a n g e s , C a n c e l s ,

& R e b i l l s o n S e r i a l i z e d o rd e rs

P ro c e s s S p e c C h a n g e s &

C a n c e l l a t i o n s

W a rra n t y C l a i m s

W a rra n t y C l a i m s

S u p p l i e r W a rra n t y M e t r i c s

P ro c e s s B ro a d c a s t m e s s a g e s f o r B o d y

S h o p S c h e d u l i n g

P ro c e s s B ro a d c a s t m e s s a g e s f o r F i n a l

A re a T r i m

V I N , R o t a t i o n # , a n d 8 5 0 2

D a t a

B ro a d c a s t M e s s a g e s t o e m b o s s e rs , e t c .

B l e n d B o d i e s f o r o p t i m i z a t i o n p r i o r

t o t r i m

M a t c h b ro a d c a s t i n f o w i t h t ra n s p o n d e rs

S c h e d u l e a n d c o n t ro l t h e b u i l d o f v e h i c l e s t h ro u g h o u t t h e a s s e m b l y

p l a n t a t e a c h s t a g e o f t h e a s s e m b l y p ro c e s sB l e n d # ,

8 5 0 2 D a t a

M o n i t o r t a g s a n d b a r c o d e s c a n s

C re a t e 8 5 0 2

8 5 0 2w i t h N a t i o n a l

B l e n d #

R e t r i e v e m o d e l c o n f i g u ra t i o n f o r a V I N R e c o rd P A T S & R a d i o

K e y c o d e f o r V I N s

P ro v i d e S e rv i c e L a b o r T i m e S t a n d a rd f o r

w a rra n t y re p a i r w o rk

P ro c e s s W a rra n t y

C l a i m s

C D R

V L1 1 7 7 4

D M I

U D L1 1 2 6 0

D e a l e r I n v e n t o r i e s

D e l i m i t e d F l a t F i l e :V I N & V e h i c l e

A t t r i b u t e s

P ro c e s s D e a l e r P ro x i m i t y S e a rc h e s

L o o k u p I n v e n t o ry

V I ND e a l e r P A

C o n s o l i d a t e N A D e a l e r I n v e n t o ry

: L o c a t e1 1 2 4 9

A s s o c i a t e C o m p o n e n t

w i t h V I N

V I N , C o m p o n e n t , C o m p o n e n t

S e r i a l #

S c a n s e r i a l i z e d

C o m p o n e n t s

S c a n V I N

A s s i g n P l a n t B l e n d #

V e h i c l e S e rv i c e s

E n t e r & C o n f i g u r e

P r o t o t y p e V e h i c l e

O r d e r

R e q u e s t D OR A

QC M M e n u1 2 9 0 4

W S M OD1 2 2 7 1

M y F o rd1 1 7 7 6

OC1 1 2 5 7

V S A 1 1 7 7 91 1 7 7 9

A s k K a t e1 3 1 8 4

F M C C W h o l e s a l e S e c u r i t i z a t i o n S y s t e m

V I N T e k

A l l M a k e s V I N D a t a

(N e w & U s e d )

D e c o d e V I N

A W S8 3 9

I R I S / V OQ1 2 4 7 6

GC QI S -W B8 6

E E M S1 1 8 5 0

K T P / C M M S1 1 4 4 5

GS L T S1 0 0

e T I S -E U R1 3 6 0 0

S A V E B A S E8 9

H V B OM1 0 0 1 2

V C I S9 0

P C : M 1 1 3 1 71 1 3 1 7

C T S _ 11 2 4 6 4

GC A T : 1 1 2 9 61 1 2 9 6

A C E S I I1 5 5

a l l o w a c c e s s t o t h e 2 8 c a t e g o r i e s o f b u i l d o p t i o n s f o r F o rd / L M

T R A C E1 1 5 6 7

C N A C S8 5

T E W S1 1 7 7 1

N A V I S2 0 7

U V I S1 3 4 2 5

S M A R T T1 2 3 0 3

P E S 8 78 7

GC M -E C I1 1 5 9 4

m c u d l1 1 7 8 2

C u s t o m e r

L o c a t e D e a l e r

C N 2 0 42 0 4

F D S E1 2 6 1 9

Qu i c k l e a7 0

C V M S6 2 8 7

E m p l o y e e

E u A S -U C B1 3 7 1 0

F o rd D 1 1 2 5 51 1 2 5 5

M E V I S1 2 3 6 4

F o M C C I I1 2 3 6 5

OC / D S O3 3 8

C R S S9 0 4 5

A S B U I L T9 7 5 1

OA S I S9 9

Distr ibution Channel Managem ent SOI

GOL D D 9 0 8 79 0 8 7

S B D S F e e d

C D C2 5 1

QL S V O1 1 4 4 0

A N S2 9 4

F S A V L1 2 4 6 6

d i s p l a y o p e n F i e l d S e rv i c e A c t i o n

i n f o rm a t i o n (V I N + Ow n e r), b y

d e a l e r

D e a l e r P e rs o n n e l

E S P S9 4

E S P A R S1 1 1 8 0

E S P C o n s u m1 1 2 5 2

C u s t o m e r

GS E V I 1 1 1 6 91 1 1 6 9

P E A R S1 7 9

x U D L1 2 9 2 2

N A S A9 8 2 8

M e c h S p e c2 0 6

OP S9 9 2 3

9 2 7 01 1 4 2 9

C OS2 0 3

V OE D I T2 1 0

P A S1 1 9 5 7

OS R2 0 9

C S E9 9 5 5

S L S9 9 5 9

GT A A1 9 0

V I M S1 1 3 9 7

A V S2 3 6

C OP A C1 1 4 4 9

V B C3 4 0

V S O2 0 5

OM S3 3 9

C OS S e l e c t s Ord e rs

C OSS e l e c t i o n

F i l e

R e j e c t e d S p e c C h a n g e s

R e v i s e d C OS S e l e c t i o n F i l e

OH i s t2 0 8

S R O I I9 9 6 7

GP I R S8 4 0

S & O1 2 4 8 5

e F D V S I I1 1 1 3 8

GV U S8 4 7

A V W S6 4 4

C R I S6 3 3

F E9 9 2 6

M T T S9 9 2 5

V e h i c l e T ra n s p o rt a t i o n

C o s t

V S P S9 9 2 7

E u ro V I S9 1 0 4

C o l l e c t n e w v e h i c l e o rd e rs f ro m d e a l e rs N D S , N S C ' s , N D C ' s f o r E u ro p e & R OW

D OE 9 1 1 39 1 1 3

C e n t ra l Ord e r E n t ry

C e n t ra l Ord e rs

B ro a d c a s t R e j e c t s

S e g m e n t e d Ord e rs

S e l e c t e d Ord e rs

R T OM9 9 7 6

U C C & V e h i c l e C o u n t s

D a i l y & 2 h o u r d e l t a s

OF M / D W1 1 5 6 1

GW E1 6 9

D R9 9 2 4

GOa L S1 1 7 6 0

V N A V1 2 5 6 6

GE V I S 1 1 7 5 81 1 7 5 8

N V S6 0 3

N C O6 0 2

GR S1 1 8 0 8

F R I S1 9 7

F I M P S1 9 6

C M S1 9 8

C P A1 9 9

A X Z1 1 0 6 0

V I S9 9 2 9

e F l e e t1 1 2 5 0

V I S T A1 2 3 3 3

V I N C E N T1 2 5 6 9

D OR A

C P M9 9 2 8

Regulatory Management SOI

E u A S -E M I V I8 6 2 4

E u A S -E M E S S1 3 6 6 8

A d m i n i s t ra t i o n o f U s e d V e h i c l e s i n

E u ro p e

A S O-E S E D i re c t o r

S e n d V I N C o d e L e t t e r t o

N H T S A

N H T S A V I N C o o rd i n a t o r

V C A P S6 4 1 5

F @ S T A V F1 1 9 2 5

C o l l e c t V I N , V e h i c l e W h e e l W e i g h t s a t

P l a n t E OL

Financial Accounting SOI

A R I S 6 0 86 0 8

GR I D6 3 6

F T D B7 6 7

P R V D7 8 1

T E S T n e t7 8 2

GV C1 1 1 4 1

A V W S G26 7 5

M A S1 1 1 5 1

A s s i g n P l a n t

Op P l 1 1 9 5 11 1 9 5 1

M P S1 1 6 5 9

V S -S R N M1 2 2 6 8

V M A C S (E U )1 2 3 4 3

V F L E E T1 2 5 6 8

M e c c a S1 2 2 3 7

R e p o rt f a c t o ry i n v o i c i n g , p ro f i t s a n d c o s t s o n V I N n u m b e r

l e v e l f o r V o l v o .

W R P R A GS1 2 2 6 1

A V S - V S C1 1 8 5 6

A V S - A D S2 3 7

A V S - OL B2 3 8

A V S - C T2 3 9

A V S - B C U2 4 2

A V S - A B S1 1 8 5 3

A V S - A C S1 1 8 5 2

A V S - U C2 7 0

A V S - M P2 4 7

A V S - T R S2 4 3

M a i n t a i n T ra c k i n g & R e p o rt i n g S p e c i f i c a t i o n s ,

g e n e ra t e re p o r t s

A V S - M U C2 4 9

A V S T a g M o n2 5 0

A V S - H OC R2 5 2

V T R A C C3 5 5

GOA L S 8 1 7 08 1 7 0

V T R A C9 8 9 1

Customer Managem ent SOI

C K S9 8 4 2

C K S -A1 2 5 7 1

C K S X1 1 6 3 9

C K S -I 1 1 2 0 31 1 2 0 3

C K S -A 1 1 2 0 21 1 2 0 2

Marketing SOI

M OC A1 1 1 3 1

M OH R1 1 1 3 2

E u A S -V A C9 3 3

C P O1 1 7 7 3D e a l e 1 1 2 3 4

1 1 2 3 4

R A C9 8 2 2

F D S S9 8 8 0

GB M S1 2 3 4 9

V D L S1 2 9 7 6

A L L OP T1 1 3 4 6

C OM M A L L1 1 3 4 9

R P P -M S D S1 3 0 8 3

T i re R e g1 3 1 5 2

E V L1 3 6 2 0

E u P F S -P V S2 6 7

E u P F S -C D M2 6 2

E u P F S -A M S2 6 3

E u P F S -M C I S2 6 5

A V S -E2 4 0

A V S - T S S2 4 5

C R T3 4 2

P ro v i d e i n f o n e c e s s a ry t o c re a t e

V I N p l a t e , C e r t i f i c a t i o n L a b e l , & o t h e r v e h i c l e

l a b e l s

A C C T D OC3 4 3

R e c o n c i l e t h e M P & L a u d i t f i l e s a n d re p o r t a n y g a p s i n v e h i c l e

s e r i a l n u m b e rs

C I3 4 8

E P A3 4 6

V T S -5 2 45 2 4

D C S 5 7 5 45 7 5 4

V M S P l a n t5 7 6 6

E u F A -E V C S6 3 1 6

S A T S1 1 0 6 3

QT S9 8 9 5

P B OW9 8 8 8

E u M P -V R D B9 8 8 7

R E T A I L9 9 3 1

S A OB9 9 5 8

e C A T S1 1 7 1 5

T P M S1 2 1 2 1

C o l l e c t v a l v e s t e m d a t a f o r T i re P re s s u re

M o n i t o r i n g

(E l v i s )

Manufactur ing Planning SOI Mater ials Managem ent SOI

M V P1 3 4 7 9

Transpor tation Managem ent SOI

U D B1 0 7

S W R1 2 7 8 1

L R N A GA C E S1 3 3 8 7

GA C E S -J & L R1 2 5 4 3

QW 9 01 3 0 2 9

R S OT1 1 4 5 0

V OS9 9 8 5

R E C A L L1 0 0 1 8

I / A ON L I N1 1 3 6 3

OV S1 2 3 4 2

V E S3 5 6

M S I I I3 5 7

E x p o r5 5 0 05 5 0 0

D OE 5 7 5 05 7 5 0

w a rra n t y5 7 6 7

E u P F S -I L V S5 1 8

GP W R9 2 5

I n i t i a to r: A p e rs o n o ro t h e r t r i g g e r t h a t i n i t i a t e sa p ro c e s s

E v e n t T ri g g e r: E v e n tt r i g g e r t h a t i n i t i a t e s a p ro c e s s

F u n c ti o n : T h e B u s i n e s s P ro c e s so r o p e ra t i o n p e rf o rm e d b y t h e a p p l i c a t i o n

S y s te m A p p l i c a t i o n : A n a p p l i c a t i o n o r s y s t e m t h a tt r i g g e rs a p ro c e s s

D a ta : T h e B u s i n e s s e n t i t i e s ,o b j e c t s o r i n f o rm a t i o n

I T M S A p p l i c a t i o n A c ro n y m :I T M S A p p l i c a t i o n N u m b e r:

Sh a d o we d o b je c ts d e n o te e x te rn a l e le m e n ts

Sy m b o l Ke y :

P OS3 4 1

C re a t e V I N B OM

V I D1 2 7 6 7

A P A K U C W S1 2 6 8 9

V e h i c l e L a b e l s

U s e d V e h i c l e S a l e s I n f o

A P G V e h i c l e

I n v e n t o ry

W T Z1 1 4 4 4

D U R I S1 1 6 2 7

SOA offer numerous benefits for controlling complexity

Leveraging of legacy investments, including line-of-business purchased packages

Improved ability to adapt to changing business requirements

Better alignment with business though designing in terms of business services

Easier and cost-effective integration through reusable code,

Better business decisions through ‘right information at the right time’

Reduced design and development costs


June 9, 200513

Identity and Security are critical to enabling a secure pervasive world

As computing becomes distributed, an adaptive security infrastructure is key

Perimeter Security

Identity-Based Security

Central Control

Secure NetworksSecure Networks

Quarantine of VirusesQuarantine of Viruses

Spam ProtectionSpam Protection

Identify UsersIdentify UsersContext AwarenessContext Awareness

TaggingTagging

Audit Audit

Manage PolicyManage Policy

Analyze Events Analyze Events

ITford

name


June 9, 200514

Marketing Systems

Interoperability will Provide a Standard Method to Exchange, Broadcast and Access Information

Interoperability will eliminate the need for point-to-point connections, allowing application integration to be simpler and faster

Manufacturing Systems

PD Systems

HR Systems

Info

rmatio

n B

us

Finance Systems

Devices

Ap

plicatio

ns

Ford External

Ford Internal


June 9, 200515

There is a shift from optimizing large physical resources to optimizing interconnected resources as one large environment.

Autonomic Computing Allows Backend Computing to be Managed as a System

Compute Platforms

Networks

Enterprise System

Management

Storage

Security

Composite Computing will allow resources to be combined

Virtualization will allow large resources to be partitioned

Automation will simplify daily tasks

Security and identity solutions will allow better process control

Monitoring will improve sense and respond capabilities

Adaptive networks will allow faster and more flexible communication


June 9, 200516

Adaptive Networking Allow Digital Links to Keep Pace with Changing Business Environments

Adaptive Networking will restructure networks around business needs

Network adapts to usageUser adapts to network

Network limited to preset services

Network configures services around

environment

Access networks blend differing configurations

Devices must navigate through multiple network

types

Multiple definitions of network policies and

security

Central definition of network policies and

security

Network compartments based on physical

characteristics

Network compartments based on business-

oriented needs

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June 9, 200517

Internet2 Prognosticates the Pervasive Future

• High bandwidth networks set the stage for advanced collaboration and simulation

• Evidence of real, distributed utility computing in the TeraGrid will be powered through Internet2

• Internet2 has already led the way in the development of key areas of the underlying technology fabric (e.g. security, middleware)


June 9, 200518

Enablers such as Internet2 help evolve the Pervasive Ecosystem

Innovation is the process of turning feedback into new products and processes that improve the system

InventionInvention

ReevaluationReevaluation DiffusionDiffusion

A primary reason that evolution of life-forms or of technology speeds up is that it builds on its own increasing order, with ever more sophisticated means of recording and manipulating information. Innovations created by evolution encourage and enable faster evolution

- Ray Kurzweil (Kurzweil’s Law: The Law of Accelerating Returns)

New Perspective

New Understanding of Needs

New Products and Process


June 9, 200519

Universities can lead pervasive innovation on the Internet2 platform

The opportunities are galactic in nature

Collaborative Creation Real-Time Monitoring Virtual Reality

Continuous Experimentation Classroom 2020 4G Robotics


June 9, 200520

Internet2 Research Areas Need to Broaden to Drive a Pervasive Ecosystem

• Wireless Extension of Internet2 Needs to be studied

• More mobile and sensor experiments need to be conducted to examine potential new capabilities

• Focus needs to continue to how to evolve the Internet based on lessons learned from Internet2

• Societal impacts of new paradigms need to be studied


June 9, 200521

This is what our pervasive future is all about – what about yours?

accelerating information technology innovation enterprise technology ford motor company seamless...

Documents

network of sensorscommonality

new solutions

increased monitoring

increased control

automobile connectivity

smart sensors

adaptation innovation

computing capability