paul vincent, tibco software – a cep company · pdf filecomplex event processing cloud...

Rules Fest 2010

Software Practices and Experiences -of Rules -in CEP Applications

© 2009 TIBCO Software Inc. All Rights Reserved. Confidential and Proprietary.

in CEP Applications

Paul Vincent, TIBCO Software – a CEP Company

� Typical roles for CEP

� The motivation for rules, and types of rules used

� Rule execution vs latency, throughput and reliability


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� Customer use cases and design patterns

Complex Event Processing

Cloud of EventsCustomer

Logon

Base RateIncrease

PipeThroughput

Dips 2% Contract Initiated

SubstationEfficiency dips

0.2%

Service complaint@ 94041

ContractReturnedthru EDIDemand

Increases0.8%

Mobile Callfrom [email protected]

ItalyWorld Cup match

@14.00

Continuous

For automated and manual processes


3

FullOperational

View of Events

Continuous

Across events and context

processes

Low latency + high

throughput

Real-time analytics

Patterns, Decisions,

Actions

Energy• Predictive energy usage / energy

event processing• Smart Grid Initiatives• Transmission, Outage Intelligence

Fault Management

CEP Application Areas


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Finance

• Credit derivative trades. Used for real-time workflow and trade matching

• Visualize market data, order executions• Fraud / Intrusion Detection• Track and Trace for Trades / Deals /

Settlements and Pre / Post trade exceptions

Logistics

• Optimization of shipping movements to obtain greater efficiencies and reduce fuel costs

• Real-time tracking of cargo, packages border crossing manifests

• Revenue management, baggage handling in airlines



5

Adaptive Marketing

• Capture opportunity with customer while “window” is open

• Ability to learn from successful/failures of campaign in progress to fine tune the offer

Government• Track and Analyze ‘patterns’ that are

very difficult to detect• Real-time tracking of people, places

and things• Capacity planning



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Telco

• Track missing events, SLA violations, re-sequence out-of-order events according to context

• Identify under-performing business systems to ensure service levels can be met and enhanced

• Location-based services for targeted campaigns

Role of CEP in Business

“Operational Intelligence”

Faster, better responses to (decisions in)

business situations


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Delivering

events

Middleware

Persistence

& States

Analysing

Events

Data

Analytics

Pattern

detection

Viewing

Events

Historic

data

Real-time

Making

Decisions

Decision

Management

CEP Functional Areas vs Technology Areas

events

CEP Functional


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Pattern Detection

Event & State store

DecisionsProcessesand Views

Functional Areas

“Complex Event

Processing”(aka CEP, ESP)

“Decision Management”(aka business rules, BRMS)

“Real-timeDashboards”(aka real-time

BI, BAM)

“Straight Thru Processing”(aka real-time

BPM, XTP)





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CEP Technology Areas vs Rules

events

CEP Functional


10

Pattern Detection

Event & State store


Functional Areas

“Complex Event

Processing”(aka CEP, ESP)


Rule Technologies

events

Compare event-to-data

ECA rules

Compare event-to-event or data

Compare event-to-data

State Machine / Model

Compare event-to-event or data

Temporal Regular


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Pattern Detection

Event & State store


Event patterns, groups,

ordered, filters,joins...

event-to-event or data

Event-Enabled Production rules

Compare event-to-events or data

ContinuousQueries

Temporal Regular Expression

CEP Technology Areas vs Rules

eventsGraphical decisions

Decision Models

If-Then decisions

Decision Rules


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Pattern Detection

Event & State store



Analytics-based

Executable Models





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CEP Rule Goals

events


14

Pattern Detection

Event & State store


Minimise: Time from input - to - outputMaximise: Quantity of events, patterns, outputsScalability: Handle quantities across distributed systemsReliability: Handle failover for components

GO

AL

S

Example Rule Types

� Basic: Condition-Action

� Triggers: Event-Condition-Action

� Timers/schedulers: TimeUp-Action, TimeInterval-Action

� Event lifecycle: TimeToDie-Action

� State transition: Event-StateChange, Timeout-


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� State transition: Event-StateChange, Timeout-StateChange, StateEntry-Action, StateExit-Action





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Summary

� CEP involvesevent pattern matching

� Rules used for pattern matching and decisions on the resulting patterns

� Highly successful model


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� Highly successful model

� Resources:www.ep-ts.comwww.tibcoblogs.com/cep

ComplexEvent

Processing

paul vincent, tibco software – a cep company · pdf filecomplex event processing cloud...

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