Keynote in OMG Meeting March 2008 - coopetition in Event Processing

IBM Software Group – Event Processing technologies

© 2007 IBM Corporation

Event-driven Processing in IBM

I am wearing three
different hats today

The hat that is providing
food to my children:
IBM Employee

Once a week I am
wearing the Professor
hat and teach an event
processing course

Additional hat – a
catalyst in establishing
the event processing
community
Event-Driven Processing in IBM © 2008 IBM Corporation


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What is event processing ?

Coopetition and EPTS

Event Processing Standards and their role



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Event-Driven Processing in IBM
, © 2008 IBM Corporation


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Event Processing

Event Event
Producer Consumer

Generate and Consume and
may publish perform operations react to either
events on events raw or complex
events



*

Event Flow
D,

2 (

Consumers
Producers



Value is in recognizing the significance of an
event from a business context
Getting the right Quick observation
Quick observation
Getting the right
information in the into exceptional
right granularity to business behavior
the right person at and notification to the
the right time appropriate people
Information Business Monitoring
Dissemination Detect
Decide
Respond
Mitigate or
Mitigate or
Diagnose
Diagnose eliminate
problems based
predicted events
on symptoms and
solve them
Predictive Processing
Active Diagnostics

Service Availability

Real-time business service visibility based on IT events



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Event Event Business Services & State
Producer Sensors Processes Applications Machines

Event Monitoring and Analytic Infrastructure
Event Consolidator

Event Security Services

Event Flow
Event
Event Bus
Processing
Network
Event Handler

Event Event Business Services & State
Consumer Actuators Processes Applications Machines

Three major building blocks:
• Event Producers,
• Event Processing Network
• Event Consumers

TIBCO’- Event Processing Reference Architecture

EVENT
SOURCES
EVENT PRE- Event Processing (EP/CEP)
EXTERNAL PROCESSING

DISTRIBUTED
LEVEL ONE LEVEL TWO LEVEL THREE
LOCAL
EVENT SITUATION IMPACT
EVENT REFINEMENT REFINEMENT ASSESSMENT
SERVICES
.
. USER
EVENT
. INTERFACE
PROFILES
.
. .
.
DB MANAGEMENT
DATA
BASES
. Historical Profiles &
LEVEL FOUR Data Patterns
.
OTHER
PROCESS
DATA
REFINEMENT

Adapted from JDL:
Steinberg, A., & Bowman, C., Handbook of Multisensor Data Fusion, CRC Press, 2001
© 2006 TIBCO Software Inc. All Rights Reserved. Confidential and Proprietary. 24

Oracle’s architecture

Event Data
publish Processing consume
Publication Consumption
(Publishers) Selection (Consumers*)
Correlation
Distribution

Applications Files/DBs Sensor Data Feeds Propagations

* Consumers can act as publishers

Oracle’s architecture – cont.

Event Data
Processing

Stream
Stream Select
Process
Compose Stream
Retain
Deliver/propagate
Stream Stream

Single or multiple steps
Local or distributed

IBM Software Group – EDA Initiative



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Transform validate

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Retrospective pattern

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if the customer has breached his credit limit the second time within the last 48
hours then divert the workflow based on policies that relate to the history of
credit violations in the last year.


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Model Driven Architecture (MDA) Event Metamodel Related Standards
& Profile Business
Computation Motivation Model
(BMM) Ontology
Independent Business Models Definition
Models (CIM) Business (ODM)
Process Definition
(BPDM)
Platform Production Rule
Independent UML Models EMP Representation
(PRR)
Models (PIM)
UML Behavior

Platform
UML Models - UML State
Specific
platform specific
Models (PSM) UML Pins

Code / Execution XML
Java
RDF
RDFS
XSD
OWL



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Keynote in OMG Meeting March 2008 - coopetition in Event Processing

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Keynote in OMG Meeting March 2008 - coopetition in Event Processing