c7:complex event processing making sense of sensor network events in real time john doherty senior...

C7: Complex Event Processing

Making Sense of Sensor Network Events in Real Time

John DohertySenior Presales Consultant

© 2008 Progress Software Corporation2

Agenda

The World of Sensors A Business Case for Sensor Events in Real

Time Building A Sensor Event Architecture Case Studies

CEP: Making Sense of Sensor Network Events in Real Time


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.


What are the Top Markets leveraging sensor technology?

Energy Healthcare Logistics Nature & Climate Mobility & Traffic Telecommunications


The Control Loop

Traffic light iseither red orgreen

Traffic lightbecomes greenon car approach

Traffic light adapts to road blocks and traffic jams


Connect Sensor Technology to Business IT: Quite a gap…

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

Sensor Technology Environment

Business IT Environment

GAPAN OPPORTUNITY FOR CEP AND ESB?


Agenda


Time Building A Sensor Event Architecture Scenarios for Traffic Management



The dependency mismatch: external vs. internal integration

ESB

CEP

104

107


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

Event Service DataSensor


Making sense of sensor events...

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

The opportunity… The challenge…

You need an infrastructure to transform sensor events to business events…


Agenda


Time Building A Sensor Event Architecture Scenarios for Traffic Management



Building a Sensor Event Architecture

SensorDomain

Event EdgeDomain

BusinessDomain

SensorEdgeEvent

ProcessorESB

Actuator

BusinessEvent

Processor


The Progress Portfolio for Sensor-Driven SOA

ESB

DB SERVICE

BPM REGISTRY BPEL

MANAGEMENT& SECURITY

COMPLEXEVENT PROC

SEMANTICINTEGRATION

MAINFRAMEINTEGRATION

TCP/IPMESSAGING

SENSORS&

ACTUATORS


ALL WITHIN any 2 minute time period

time

real-

time

data

stre

ams

Traffic Jam Scenario

!

AND ( Average Car Distance decreases by 5%

!

WHEN Weather Conditions are BAD

!

OR Weather Conditions get WORSE )) !

FOLLOWED-BY ( Average Speed going down

THEN Activate Traffic Jam ACTUATORSAND Alert TMC Traffic Centre

Weather Conditions

Average CarDistance

Traffic Density

Average Speed

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


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?


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?


Agenda


Time Building A Sensor Event Architecture Case Studies



Case Studies

Dynamic 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


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.


Health Monitoring

Customer: Nijmegen 4 Day Walk

Problem: Walkers Dying due to dehydration.

Sensors used: RFID, Thermometer, mobile phones

Technology used: Apama, GPS, SMS


City Ring Parking

Customer: Local government

Problem: Charging for road-side parking

Sensors used: License Plate Recognition

Technology used: Apama, Sonic, Business Partner Application


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


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!


What Do You Think ?


Thank You [email protected]

c7:complex event processing making sense of sensor network events in real time john doherty senior...

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