Event Processing for Business: Organizing the Real Time Enterprise Book

Preface ix

Acknowledgments xiii

CHAPTER 1 Event Processing and the Survival of the Modern Enterprise 1

Four Basic Questions about Events 2

What Are Events and Which Ones Are Important? 3

Why Invest in Event Processing? 5

Know How Well You’re Doing 9

Use All Event Sources 10

Detect When What You Need to Know Happens 11

Event Processing in Use 16

The Human Element and Other Sources of Errors 21

Extract What You Want to Know 22

Getting Started 25

CHAPTER 2 Sixty Years of Event Processing 27

Event Driven Simulation 29

Networks 33

Active Databases 35

Middleware 36

The Enterprise Service Bus 38

Chaos in the Marketing of Information Systems 39

Service Oriented Architecture 40

Event Driven Architecture 44

Summary: Event Processing, 1950–2010 46

CHAPTER 3 First Concepts in Event Processing 49

New Technology Begets New Problems 50

What Is an Event? 51

Event Clouds 54

Levels of Events and Event Analysis 57

Remark on Standards for Business Events 60

Event Streams 61

Processing the Event Cloud 64

Complex Event Processing and Systems That Use It 69

Discussion: Immutability of Events 75

Summary 76

CHAPTER 4 The Rise of Commercial Event Processing 77

The Dawn of Complex Event Processing (CEP) 78

Four Stages of CEP 79

Simple CEP (1999–2007) 81

CEP versus Custom Coding 83

Creeping CEP (2004–2012) 84

Business Activity Monitoring 85

Awareness and Education in Event Processing 87

Languages for Event Processing 87

Dashboards and Human- Computer Interfaces 89

Human- Computer Interfaces 91

CEP Becomes a Recognized Information Technology (2009–2020) 93

Event Processing Standards 97

Ubiquitous CEP 98

CHAPTER 5 Markets and Emerging Markets for CEP 101

Market Areas 104

Financial Systems, Operations, and Services 104

Fraud Detection 110

Transportation 113

Security and Command and Control 121

Command and Control for Security 123

Health Care 126

Energy 128

Summary 133

CHAPTER 6 Patterns of Events 135

Events and Event Objects 136

Overloading Two Meanings 136

Patterns and Pattern Matching 137

Single Event Patterns 137

Processing Patterns by Machine 139

Patterns of Multiple Events Using Operators 140

Event Patterns and State 143

Event Patterns and Time 145

Causality between Events 150

Repetitive and Unbounded Behavior 154

Requirements for an Event Pattern Language 158

Correctness and Other Questions 159

CHAPTER 7 Making Sense of Chaos in Real Time: Part 1 161

Event Type Spaces 163

Restricting the Types of Event Inputs May Not Be an Option 164

The Expanding Input Principle: Always Plan for New Types of Event Inputs and Event Outputs 166

Architecting Event Processing Strategies 167

Gross Filters 168

Prioritization: Split Streaming, Topics, Sentiments, and Other Attributes 169

Complex Filtering and Prioritization Using Event Patterns 171

Summary 173

CHAPTER 8 Making Sense of Chaos in Real Time: Part 2 175

Abstract Events and Views 176

Levels of Abstraction and Views 180

Organizing Views 183

Computing Abstractions by Event Pattern Maps 184

Computable Event Hierarchies 187

Flexibility of Hierarchy Defi nitions 188

Drill Down and Event Analysis 189

Summary: Dealing with Information Overload 192

CHAPTER 9 The Future of Event Processing 195

Taking Stock 196

The Evolution of Holistic Event Processing Systems 198

Crossing Boundaries 202

The Beginnings of Holistic Event Processing Systems 203

Future Air Travel Management Systems 206

Monitoring Human Activities 212

Pandemic Watch Systems 213

Monitoring the Consequences 220

Solving Gridlock in the Metropolis 226

Monitoring Your Personal Information Footprint 230

Summary: The Future of Complex Event Processing 234

APPENDIX Glossary of Terminology: The Event Processing Technical Society: (EPTS) Glossary of Terms—Version 2.0 237

Alphabetical List of Glossary Terms 241

Glossary of Terms 243

Glossary According to Lexicographic Order (definitions only) 255

About the Author 259

Index 261