Event Processing for Business : Organizing the Real-Time Enterprise

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  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2011-12-06
  • Publisher: Wiley
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Find out how Events Processing (EP) works and how it can work for youBusiness Event Processing: An Introduction and Strategy Guide thoroughly describes what EP is, how to use it, and how it relates to other popular information technology architectures such as Service Oriented Architecture. Explains how sense and response architectures are being applied with tremendous results to businesses throughout the world and shows businesses how they can get started implementing EP Shows how to choose business event processing technology to suit your specific business needs and how to keep costs of adopting it down Provides practical guidance on how EP is best integrated into an overall IT strategy and how its architectural styles differ from more conventional approachesThis book reveals how to make the most advantageous use of event processing technology to develop real time actionable management information from the events flowing through your company's networks or resulting from your business activities. It explains to managers and executives what it means for a business enterprise to be event-driven, what business event processing technology is, and how to use it.

Author Biography

David Luckham is a Research Professor (emeritus) at Stanford University. Luckham’s research and consulting activities in software technology include multi-processing and business processing languages, event-driven systems, complex event processing, program verification, systems architecture modeling and simulation, and automated deduction and reasoning systems. He is a lecturer and keynote speaker at select international conferences and congresses and the author of The Power of Events.

Table of Contents

Prefacep. ix
Acknowledgmentsp. xiii
Event Processing and the Survival of the Modern Enterprisep. 1
Four Basic Questions about Eventsp. 2
What Are Events and Which Ones Are Important?p. 3
Why Invest in Event Processing?p. 5
Know How Well You're Doingp. 9
Use All Event Sourcesp. 10
Detect When What You Need to Know Happensp. 11
Event Processing in Usep. 16
The Human Element and Other Sources of Errorsp. 21
Extract What You Want to Knowp. 22
Getting Startedp. 25
Sixty Years of Event Processingp. 27
Event Driven Simulationp. 29
Networksp. 33
Active Databasesp. 35
Middlewarep. 36
The Enterprise Service Busp. 38
Chaos in the Marketing of Information Systemsp. 39
Service Oriented Architecturep. 40
Event Driven Architecturep. 44
Summary: Event Processing, 1950-2010p. 46
First Concepts in Event Processingp. 49
New Technology Begets New Problemsp. 50
What Is an Event?p. 51
Event Cloudsp. 54
Levels of Events and Event Analysisp. 57
Remark on Standards for Business Eventsp. 60
Event Streamsp. 61
Processing the Event Cloudp. 64
Complex Event Processing and Systems That Use Itp. 69
Discussion: Immutability of Eventsp. 75
Summaryp. 76
The Rise of Commercial Event Processingp. 77
The Dawn of Complex Event Processing (CEP)p. 78
Four Stages of CEPp. 79
Simple CEP (1999-2007)p. 81
CEP versus Custom Codingp. 83
Creeping CEP (2004-2012)p. 84
Business Activity Monitoringp. 85
Awareness and Education in Event Processingp. 87
Languages for Event Processingp. 87
Dashboards and Human-Computer Interfacesp. 89
Human-Computer Interfacesp. 91
CEP Becomes a Recognized Information Technology (2009-2020)p. 93
Event Processing Standardsp. 97
Ubiquitous CEPp. 98
Markets and Emerging Markets for CEPp. 101
Market Areasp. 104
Financial Systems, Operations, and Servicesp. 104
Fraud Detectionp. 110
Transportationp. 113
Security and Command and Controlp. 121
ommand and Control for Securityp. 123
Health Carep. 126
Energyp. 128
Summaryp. 133
Patterns of Eventsp. 135
Events and Event Objectsp. 136
Overloading Two Meaningsp. 136
Patterns and Pattern Matchingp. 137
Single Event Patternsp. 139
Processing Patterns by Machinep. 140
Patterns of Multiple Events Using Operatorsp. 143
Event Patterns and Statep. 145
Event Patterns and Timep. 150
Causality between Eventsp. 154
Repetitive and Unbounded Behaviorp. 158
Requirements for an Event Pattern Languagep. 159
Correctness and Other Questionsp. 136
Making Sense of Chaos in Real Time: Part 1p. 161
Event Type Spacesp. 163
Restricting the Types of Event Inputs May Not Bean Optionp. 164
The Expanding Input Principle: Always Plan for New Types of Event Inputs and Event Outputsp. 166
Architecting Event Processing Strategiesp. 167
Gross Filtersp. 168
Prioritization: Split Streaming, Topics, Sentiments, and Other Attributesp. 169
Complex Filtering and Prioritization Using Event Patternsp. 171
Summaryp. 173
Making Sense of Chaos in Real Time: Part 2p. 175
Abstract Events and Viewsp. 176
Levels of Abstraction and Viewsp. 180
Organizing Viewsp. 183
Computing Abstractions by Event Pattern Mapsp. 184
Computable Event Hierarchiesp. 187
Flexibility of Hierarchy Definitionsp. 188
Drill Down and Event Analysisp. 189
Summary: Dealing with Information Overloadp. 192
The Future of Event Processingp. 195
Taking Stockp. 196
The Evolution of Holistic Event Processing Systemsp. 198
Crossing Boundariesp. 202
The Beginnings of Holistic Event Processing Systemsp. 203
Future Air Travel Management Systemsp. 206
Monitoring Human Activitiesp. 212
Pandemic Watch Systemsp. 213
Monitoring the Consequencesp. 220
Solving Gridlock in the Metropolisp. 226
Monitoring Your Personal Information Footprintp. 230
Summary: The Future of Complex Event Processingp. 234
AppendixGlossary of Terminology: The Event Processingp. 237
Technical Society: (EPTS) Glossaryp. 241
of Terms-Version 2.0p. 243
Alphabetical List of Glossary Terms
Glossary of Terms
Glossary According to Lexicographic Orderp. 255 (definit
About the Authorp. 259
Indexp. 261
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