Event Processing for Business

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