Event Processing for Business Organizing the Real-Time Enterprise

by Luckham, David C.

• ISBN13: 9780470534854
• ISBN10: 0470534850
• Edition: 1st
• Format: Hardcover
• Copyright: 2011-12-06
• Publisher: Wiley

Summary

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

Preface	p. ix
Acknowledgments	p. xiii
Event Processing and the Survival of the Modern Enterprise	p. 1
Four Basic Questions about Events	p. 2
What Are Events and Which Ones Are Important?	p. 3
Why Invest in Event Processing?	p. 5
Know How Well You're Doing	p. 9
Use All Event Sources	p. 10
Detect When What You Need to Know Happens	p. 11
Event Processing in Use	p. 16
The Human Element and Other Sources of Errors	p. 21
Extract What You Want to Know	p. 22
Getting Started	p. 25
Sixty Years of Event Processing	p. 27
Event Driven Simulation	p. 29
Networks	p. 33
Active Databases	p. 35
Middleware	p. 36
The Enterprise Service Bus	p. 38
Chaos in the Marketing of Information Systems	p. 39
Service Oriented Architecture	p. 40
Event Driven Architecture	p. 44
Summary: Event Processing, 1950-2010	p. 46
First Concepts in Event Processing	p. 49
New Technology Begets New Problems	p. 50
What Is an Event?	p. 51
Event Clouds	p. 54
Levels of Events and Event Analysis	p. 57
Remark on Standards for Business Events	p. 60
Event Streams	p. 61
Processing the Event Cloud	p. 64
Complex Event Processing and Systems That Use It	p. 69
Discussion: Immutability of Events	p. 75
Summary	p. 76
The Rise of Commercial Event Processing	p. 77
The Dawn of Complex Event Processing (CEP)	p. 78
Four Stages of CEP	p. 79
Simple CEP (1999-2007)	p. 81
CEP versus Custom Coding	p. 83
Creeping CEP (2004-2012)	p. 84
Business Activity Monitoring	p. 85
Awareness and Education in Event Processing	p. 87
Languages for Event Processing	p. 87
Dashboards and Human-Computer Interfaces	p. 89
Human-Computer Interfaces	p. 91
CEP Becomes a Recognized Information Technology (2009-2020)	p. 93
Event Processing Standards	p. 97
Ubiquitous CEP	p. 98
Markets and Emerging Markets for CEP	p. 101
Market Areas	p. 104
Financial Systems, Operations, and Services	p. 104
Fraud Detection	p. 110
Transportation	p. 113
Security and Command and Control	p. 121
ommand and Control for Security	p. 123
Health Care	p. 126
Energy	p. 128
Summary	p. 133
Patterns of Events	p. 135
Events and Event Objects	p. 136
Overloading Two Meanings	p. 136
Patterns and Pattern Matching	p. 137
Single Event Patterns	p. 139
Processing Patterns by Machine	p. 140
Patterns of Multiple Events Using Operators	p. 143
Event Patterns and State	p. 145
Event Patterns and Time	p. 150
Causality between Events	p. 154
Repetitive and Unbounded Behavior	p. 158
Requirements for an Event Pattern Language	p. 159
Correctness and Other Questions	p. 136
Making Sense of Chaos in Real Time: Part 1	p. 161
Event Type Spaces	p. 163
Restricting the Types of Event Inputs May Not Bean Option	p. 164
The Expanding Input Principle: Always Plan for New Types of Event Inputs and Event Outputs	p. 166
Architecting Event Processing Strategies	p. 167
Gross Filters	p. 168
Prioritization: Split Streaming, Topics, Sentiments, and Other Attributes	p. 169
Complex Filtering and Prioritization Using Event Patterns	p. 171
Summary	p. 173
Making Sense of Chaos in Real Time: Part 2	p. 175
Abstract Events and Views	p. 176
Levels of Abstraction and Views	p. 180
Organizing Views	p. 183
Computing Abstractions by Event Pattern Maps	p. 184
Computable Event Hierarchies	p. 187
Flexibility of Hierarchy Definitions	p. 188
Drill Down and Event Analysis	p. 189
Summary: Dealing with Information Overload	p. 192
The Future of Event Processing	p. 195
Taking Stock	p. 196
The Evolution of Holistic Event Processing Systems	p. 198
Crossing Boundaries	p. 202
The Beginnings of Holistic Event Processing Systems	p. 203
Future Air Travel Management Systems	p. 206
Monitoring Human Activities	p. 212
Pandemic Watch Systems	p. 213
Monitoring the Consequences	p. 220
Solving Gridlock in the Metropolis	p. 226
Monitoring Your Personal Information Footprint	p. 230
Summary: The Future of Complex Event Processing	p. 234
AppendixGlossary of Terminology: The Event Processing	p. 237
Technical Society: (EPTS) Glossary	p. 241
of Terms-Version 2.0	p. 243
Alphabetical List of Glossary Terms
Glossary of Terms
Glossary According to Lexicographic Order	p. 255 (definit
About the Author	p. 259
Index	p. 261
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