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

2. 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

3. 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

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

5. 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

6. 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

7. 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

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

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

10. 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

11. 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

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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. ?
What Do You Think 24

25. Thank You !! 25

26. 26