Inflection Points

1
Inflection Points

• Computing Communication

2
Things To Think About

• The convergence of leading-edge technology will
  be the single most powerful driver of change for
  the next 100 years.
• Half of all the products that will be sold in the
  next 5 years havent even been invented yet.
• DNA databases are doubling every 8 months.
  Bandwidth is doubling every 10 months.
• E-commerce sales are growing by 100 percent every
  6 months.
• The Net is doubling every 90 days.

3
Strategic Inflection Point
Circa 1876

• This telephone has too many shortcomings to be
  seriously considered as a means of
  communication.

Western Union internal memo, 1876, commenting on
Alexander Graham Bells invention
Some Of Us Miss Them
4
Strategic Inflection Point
New Usage and New Solution Architectures Emerge
Inflection point
Legacy Continues
Infection Points Increase Business Agility
5
Convergence
6
Exponential Growth in Capability
7
Moores Law Applied to Device Usage
log (people per computer)
60
70
80
90
50
00
10
year
8
Standards InteroperabilityThe Path to Volume
Economics
Wi-Fi (802.11)


Other names or brands may be claimed as the
property of their respective owners
9
Wireless Technologies Will Co-Exist
WAN
MAN
LAN
PAN

3G WCDMA GPRS EDGE
WiMAX 802.16 Real Broadband
Wi-Fi 802.11 lt300ft.

UWB and Bluetooth
RFID/ TAG
The Result Optimal Connectivity
10
WiMAX Broadband Wireless Usage
PORTABILITY 802.16e
MOBILITY 802.16e
Nomadic Metrozone
Mobile
Fixed Indoor
Enterprise Campus Piconet

• Volume100s of thousands
• Deployable Q205 (16e in 06)
• Fixed Access
• Data Focused
• RGs for PC Clients

• Volume 100s of thousands
• Deployable 2006/early 07
• Fixed and Portable access
• Data, some Voice
• RGs PC Cards

• Volume Millions
• Deployable 2007/early 08
• Mobile Access
• Data, Audio, Voice, Video?
• Client Integration for PCs Handhelds

All dates, products and features are subject to
change without notice
11
07
Roadmap
06
05
Handset Integration
04
Notebook Integration
Mainstream Deployments CPE / basestations
1st Intel Si
Source Intel Roadmap
Other names and brands may be claimed as the
property of others
12
Industry Governments Aligning Frequencies

• Licensed Bands
• 2.5GHz (2.3-2.4 2.5-2.7)
• 3.5GHz (3.3-3.8)

• Unlicensed Band
• 5.8GHz (5.25-5.85)

N. America
2.5 5.8 GHz
W. E. Europe
APAC
3.5 5.8 GHz
3.5 5.8 GHz
Middle East Africa
Central S. America
2.5, 3.5 5.8 GHz
3.5 5.8 GHz
13
Moore, Gilder, and MetcalfConvergence Creates
Opportunities

• Moores Law.
• Transistors on a single chip doubles
  approximately every 1824 months.
• Gilders Law.
• Aggregate bandwidth triples approximately every
  year.
• Metcalfes Law.
• The value of a network may grow exponentially
  with the number of participants.

Source Cambridge Energy Resource Associates
10616-17
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Enabling The Integrated Operation Real Time
Operational Information Systems
Surveillance Command Control Business
Intelligence Communications Extended to
Partners
15
Operational Data Imperatives
Reliable Immediate Role Based Actionable
Relevant Context Timely One Version of the
Truth
Holistic View
Smarter Decisions
Multi-Point ROI
Delivering One Version Of The Truth
16
Interconnection of Many Oil Gas Platforms
Oil Rig
Telcom Fiber Optic (4 E1s)
Headquarters (Houston)

• Support of any communication needs for Oil Gas
  platforms such as
• Voice
• Video conference
• Exchange of data
• SAP
• Internet access
• SCADA-RTO
• etc

Remote Station
SCADA
17
Real-Time Technology
18
Motes Platform Building Block

• Wireless
• Self-Powered
• Standard Sensor Package which can include
• Seismic
• Magnetic
• Acoustic
• Infrared

19
Sensor Network Architecture
Enterprise Server
Enterprise Integration
Intranet
Sensor Gateway
Hierarchical Organization
Cluster Head
802.11 or Other Backbone
802.15.4 BlueTooth Other
Self-organizing sensor clusters
Meshof Motes
20
Motes Overview

• A mote is a tiny wireless computing platform
• CPU, memory, FLASH, I/O, radio components
• Low power operation, often battery operated
• Motes are used to build wireless mesh networks
• Self configuring and maintaining connectivity
• Distributed sensing of environmental data
• Distributed computation capabilities
• Bandwidth and resources scale with network size

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Usage Model
Intel Mote
Sensor interface board
Sensor
Analogor digitalinterface
Digitalinterface
Wirelessinterface
Meshnetwork
22
Mesh Network The Concept
23
Geo-Fencing Mesh Application
Vehicle Trajectory

• Self-Configures
• Auto-Locates
• Filters Signals
• Sends events, not readings
• Detect look for intrusion
• Filter skip bad data and avoid boy that cries
  wolf syndrome
• Alert rapid communication from command/
  monitoring center to response crew

Magnetometer Detects
PIR Detects
Inactive Units
Radio Links
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Gateway Event Analysis

• Collects events from the motes
• Provides intelligent camera functionality
• Analyzes events to filter out false positives
  and raises alerts
• Provides flexible communication options

Gateway
Communication Gateway
Mote Gateway
Camera Gateway
Event Analysis Center
25
User Interface Customizable Display

• Gateway sends alerts and events to user interface
• Software combines video and sensor data into
  desired display
• User interface will vary by application

Alerts And Events
134506 CST 2004.03.08
26
Integrated Operation Enablers Technologies

• Technology Enablers
• Wireless video everywhere
• Ubiquitous sensor networks
• Integrated physical cyber-security
• Full value-chain management
• Standards-based framework that integrates,
  organizes and synchronizes information easily
• Workforce mobilization

Technology Increases Opportunity to Observe,
Orient, Decide Act in a timely manner
27
Performance Through Parallelism
Normalized Performance vs. Initial Intel
Pentium 4 Processor
Performance
3X
2008
2004
2000
Source Intel
28
Performance Through Parallelism
Normalized Performance vs. Initial Intel
Pentium 4 Processor
Performance
You AreHere
3X
2008
2004
2000
FORECAST
Source Intel
29
Enabling Higher Quality DecisionsFaster
Many-Core
Multi-Core
Dual-Core

• Scales with GHz
• Scales with number of cores
• Hyper-threading for Enterprise applications to
  hide latencies, increase responsiveness -
  transaction apps, branchy apps
• Scales with larger caches
• Scales through higher IPC (instructions per
  clock) SSE, and IA64

Hyper-threading
Multi Processor
30
Intels Role From Data Chaos To Organized
Actionable Information
31
Thank you
32
Introducing BI Accelerator Appliance - 1
System performance declining when increasing
utilization
actionable information
SAP NetWeaver BI Server
Business User
System Performance
data
data
IT Department
data
data
33
Introducing BI Accelerator Appliance - 2
Increase scalability and flexibility, w/o
impacting architecture
actionable information
SAP NetWeaver BI Server
BIaccelerator appliance
2004s
blade
Business User
blade
blade
System Performance
2004s
data
data
IT Department
data
data
34
BI Accelerator of SAP NetWeaver Architecture
SAP NetWeaver BI
HPA Engine Using Adaptive Computing
AnalyticEngine
InfoCubes
DataAcquisition
Any Source