The document discusses how connected devices and the Internet of Things (IoT) are creating new opportunities for organizations to develop smarter products, services and processes. It notes that IoT will require new architectures to effectively design, deploy and manage complex IoT systems while ensuring security, availability and intelligence. Common elements of an IoT infrastructure are described including IoT access appliances, application gateways and end-to-end services. The document provides examples of how IoT can help enable smarter solutions for areas like buildings, utilities, transportation and more.
10. We are ushering in a new wave of innovation
Age 6th Wave
Age of IT &
of Oil, Cars Telecom
Age
and Mass
of Steel,
Production 5th Wave
Electricity
and Heavy
Engineering 4th Wave
Smarter
Innovation
Age
3rd Wave
of Steam
and Railways
Products
The
Industrial Instrumented, interc
Revolution 2nd Wave onnected,
and intelligent
1st Wave
Building blocks
for a smarter planet
Sustainability
1770 1830 1875 1920 1970 2010
*Source: “Next Generation Green: Tomorrow’s Innovation Green Business Leaders”, Business Week, Feb 4, 2008
13. New Intelligence:
A smarter planet gives organizations the vision to see without
being there.
Matiq: Employs RFID tags to trace meat and poultry from German supermarket: Uses smart RFID labels
the farm to store shelves to ensure safety and freshness to manage inventory with real-time sales
and provide more transparency to consumers. data, improving product availability and enhancing the
consumer experience.
Improving homeland security by requiring effective IBM Deep Thunder: Leverages computing
intelligence-gathering and real-time alerts to prevent power, visualization and data analytics to generate
potential threats. (FOAK) high-resolution weather forecasts for areas as fine as
1 to 2 square kilometers.
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14. Smart Work:
A smarter planet puts organizations in position to be first
and be right.
Container Centralen: Counterfeit prevention and Canadian bank: Software architecture examines
supply chain visibility in returnable transport item thousands of sources of information in real time to
handling in the European Green Sector capitalize on constantly changing market conditions.
Max Bahr: A Dynamic Inventory Optimization Solution IBM Research Zurich Lab: Uses visualization software
enables the retailer to meet demand for any of 40,000 to render a 3D model of each patient, allowing doctors
products in more than 80 outlets with low replenishment to interact with data that improves patient care.
and storage costs—boosting customer service ratings
to 99%.
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15. Green and Beyond:
A smarter planet empowers organizations to do more, using less.
Landmark: Revolutionizes petroleum frontier Natural England: Implemented an evidence-based
exploration in Texas by integrating data sources carbon measurement and management system to help
to increase the likelihood of finding profitable achieve a 50% reduction in carbon emissions by 2010.
sources of oil.
Stockholm, Sweden: An intelligent toll system in the Energie Baden-Württemberg: Offers residential
city center resulted in 20% less traffic, 40% lower customers smart appliances and meters that enable
emissions and 40,000 additional users of the public them to adjust electricity consumption based on price—
transportation system. reducing waste and easing peak loads.
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16. Dynamic Infrastructure:
A smarter planet enables organizations to solve the problem
before the problem.
British banks: Utilize real-time data analytics of UBench International: Uses in-car wireless telemetry
complex financial models to help understand and to automate the auto leasing process from end to
manage their exposure to risk. end, cutting per-vehicle administrative costs by 35%
while increasing customer satisfaction and retention.
River and Estuary Observatory Network: Will create IBM Fire Program Analysis: Uses unique mathematical
the first technology-based real-time environmental algorithms to determine where wildfires will likely
monitoring and forecasting network to guide better occur, and helps optimize government funds and
policy, management and education for the Hudson resources for battling those fires.
River and estuaries worldwide.
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18. IoT scenarios show a pattern of company pain points
Water Management Grid Food safety
Logistics Home healthcare Transportation
Lack of capability to design, implement, deploy, operate and manage complex IoT systems
Lack of situation awareness leading to unacceptable responsiveness and resilience
Requirement of end-to-end security
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19. Common Architecture of IoT Infrastructure
Smart Smart Smart Smart
app1 app2 app3
IoT End-to-End Services
grid building healthcare supply chain
(Management &
Operation)
Data Center
IoT Service Platform
500,000 units (1:1000) Enhanced
IoT Application Gateway
Middleware for IoT
Wide Area Network
IoT Application Gateway
IoT Access Wireless Network
Sensor Network
Appliances Edge Appliance for IoT
500,000,000 units (1:100)
IoT Access Appliance
Physical World
New Technology for IoT
Physical World
50,000,000,000 devices
IoT access appliance and application gateway are two cornerstones of the IoT infrastructure
IoT infrastructure provides distributed management functions to support IoT end-to-end services
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20. IoT Capabilities Required for Effective Solutions
End-to-End Security Resilience Collaborative Intelligence
Security with insecure Availability with unreliable Model-based
components and environment devices and changing environment intelligence distributed across edges
IoT End-to-End Services (Enabled via Service Management Functions at Edges)
Design, implementation, integration, deployment, operation and management of IoT systems
IoT Access Appliances IoT Application Gateways
Support common sensor Perform unified data mediation
communication technologies Support naming, addressing and
Manage resource-constrained reach-ability management for
sensor devices and network sensors
Detect and handle security issues Provide security services, e.g.
of managed devices encryption/decryption, and AAA
(authentication, authorization &
Provide local intelligence, and accounting)
data store/processing capability
Manage WAN connections
Complexity from heterogeneous, geo-distributed & large-scale deployment
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21. Current sensoring architecture
WebSphere ILOG Cognos
Tivoli / Maximo Composite
Business Process (Business Rules (Enterprise BI and
(Enterprise Asset & Applications
Management Management & Performance Mgmt
Service Management) (SAP)
(WPS, WBM, WBE…) Optimization) Applications)
WebSphere ESB
SOA
Foundation Location Process EPCIS
Data Capture Applications Alerts
Awareness Integration Use Cases
Business Services & Reference Use Cases Reporting, Dashboards and Business Intelligence
Services to deliver faster time to value & reduced risk Analytics
Increasing visibility through real-world awareness
WebSphere Business Events
Integrated Master Data Cache
Event correlation across sensors, locations, over time
Sensor Contextualized reporting and queries
Event Sensor Event Services Event Capture / Query Services
Platform Components accelerating creation of business services Standardized event capture, storage and exchange
Data Capture & Device Control Serial Number Mgmt Service
Normalized data collection with filtering & aggregation Serialization at production line speeds
WebSphere Sensor Events InfoSphere Traceability Server