C7: Complex Event Processing Making Sense of Sensor Network Events in Real Time John Doherty Senior Presales Consultant 1

Agenda The World of Sensors CEP: Making Sense of Sensor Network Events in Real Time The World of Sensors A Business Case for Sensor Events in Real Time Building A Sensor Event Architecture Case Studies 2

The world is full of sensors… Sensor: A device that measures or detects a real-world condition, such as motion, heat or light and converts the condition into an analog or digital representation. 3

What are the Top Markets leveraging sensor technology? Energy Healthcare Logistics Nature & Climate Mobility & Traffic Telecommunications 4

The Control Loop Traffic light is either red or green Traffic light becomes green on car approach Traffic light adapts to road blocks and traffic jams 5

Connect Sensor Technology to Business IT: Quite a gap… Sensor Technology Environment Large number of small high tech companies Closed circuit/systems – no open access Usually not SOA-aware Little standardization Sensors can spit out very large volumes of data AN OPPORTUNITY FOR CEP AND ESB? GAP Business IT Environment 6

Agenda The World of Sensors CEP: Making Sense of Sensor Network Events in Real Time The World of Sensors A Business Case for Sensor Events in Real Time Building A Sensor Event Architecture Scenarios for Traffic Management 7

The dependency mismatch: external vs. internal integration 104 107 ESB CEP 8

Reality Check: Sensors, Events, Services and Data are very much related… 9

Making sense of sensor events... The opportunity… The challenge… Sensors can provide: real-time data real-life data increased speed and agility Sensors can be: very small very cheap wireless Sensor events: need to be analyzed Deltas Alerts Loss of signal are not equal to business events Sensors are: usually not intelligent not error-free You need an infrastructure to transform sensor events to business events… 10

Agenda The World of Sensors CEP: Making Sense of Sensor Network Events in Real Time The World of Sensors A Business Case for Sensor Events in Real Time Building A Sensor Event Architecture Scenarios for Traffic Management 11

Building a Sensor Event Architecture Sensor Domain Event Edge Domain Business Domain Sensor Edge Event Processor Business Event Processor ESB Actuator 12

The Progress Portfolio for Sensor-Driven SOA SENSORS & ACTUATORS SEMANTIC INTEGRATION COMPLEX EVENT PROC MANAGEMENT& SECURITY MAINFRAME INTEGRATION MESSAGING ESB TCP/IP DB SERVICE BPM REGISTRY BPEL 13

When does Apama® make sense in sensor networks? Multiple (sensor) data sources that need correlation Large amounts of time-dependent sensor data Analyse & Filter events Include temporal constraints Prediction/anticipation based on sensor feeds Intelligent decisions (based on rules not part of the sensor network) Record & replay of sensor events Traffic Jam Scenario ! WHEN Weather Conditions are BAD ! FOLLOWED-BY ( Average Speed going down ! AND ( Average Car Distance decreases by 5% ! OR Weather Conditions get WORSE ) ALL WITHIN any 2 minute time period Weather Conditions Average Car Distance Traffic Density Average Speed THEN Activate Traffic Jam ACTUATORS AND Alert TMC Traffic Centre time real-time data streams

Design Choices for Architects (1)… Base concepts How quickly do you need to act? Do you need to derive values from Event Streams? What data do you need to store? Do you need to integrate applications across Business Silos? Platform choice Apama® Sonic™ OpenEdge® All three? 15

Design Choices for Architects (2)… IT Architecture How will you connect to Apama? Will you use an Edge Domain (or not?) What about Fault Tolerance? Development Collaboration (Business with IT)? Do you need to keep the state? Speed (Time to Market vs Latency)? What will the interface look like? 16

Agenda The World of Sensors CEP: Making Sense of Sensor Network Events in Real Time The World of Sensors A Business Case for Sensor Events in Real Time Building A Sensor Event Architecture Case Studies 17

Case Studies Dynamic Parking Health Monitoring City Ring Parking Optimization of parking space usage Health Monitoring Walkers swallowing pill to monitor vitals City Ring Parking Parking registration and billing based on car location Train Delay Management Providing real time service to customers and employees 18

Dynamic Parking Customer: Large telecom operator Problem: Ineffective use of parking space reservation Sensors used: License Plate Recognition, road sensors, mobile phones Technology used: Apama, Sonic, Business Partner Application and existing Reservation system. 19

Health Monitoring Customer: Nijmegen 4 Day Walk Problem: Walkers Dying due to dehydration. Sensors used: RFID, Thermometer, mobile phones Technology used: Apama, GPS, SMS 20 20

City Ring Parking Customer: Local government Problem: Charging for road-side parking Sensors used: License Plate Recognition Technology used: Apama, Sonic, Business Partner Application 21

Train Delay Escalation Customer: Railway operator Problem: providing train delay information to customers & employees Sensors & Actuators used: Train, Mobile phone, Railpocket Technology used: Apama, Sonic and Google Maps 22

In Summary: Making Sense… Sensor Networks are growing rapidly A SOA Architecture approach is “very useful” Not having a SOA will increase complexity significantly Real Time will provide significant value but… No investment without a proper business case - Will it Save you Money or Make you Money! Avoid re-architecting. It’s resource intensive Architects have to understand the Real Time Paradigm Usage of real time paradigm has major impact Progress has the technology to make sense of sensor network events! 23

? What Do You Think 24

Thank You !! jdoherty@progress.com 25

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