Schade – dieser Artikel ist leider ausverkauft. Sobald wir wissen, ob und wann der Artikel wieder verfügbar ist, informieren wir Sie an dieser Stelle.
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Find out how Events Processing (EP) works and how it can work for you Business 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…mehr
- Geräte: eReader
- eBook Hilfe
Find out how Events Processing (EP) works and how it can work for you Business 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 approaches This 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.
Produktdetails
- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 288
- Erscheinungstermin: 21. Oktober 2011
- Englisch
- ISBN-13: 9781118171851
- Artikelnr.: 37485390
- Verlag: John Wiley & Sons
- Seitenzahl: 288
- Erscheinungstermin: 21. Oktober 2011
- Englisch
- ISBN-13: 9781118171851
- Artikelnr.: 37485390
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.
Preface Acknowledgments Chapter 1: Event Processing and the Survival of the Modern Enterprise Four Basic Questions about Events What are Events and Which Ones Are Important? Why Invest in Event Processing? Know How Well You're Doing Use All Event Sources Detect When What You Need to Know Happens Event Processing in Use The Human Element and Other Sources of Errors Extract What You Want to Know Getting Started Chapter 2: Sixty Years of Event Processing Event-Driven Simulation Networks Active Databases Middleware The Enterprise Service Bus Chaos in the Marketing of Information Systems Service Oriented Architecture Event-Driven Architecture Summary: Event Processing 1950-2010 Chapter 3: First Concepts in Event Processing New Technology Begets New Problems What Is an Event? Event Clouds Levels of Events and Event Analysis Remark on Standards for Business Events Event Streams Processing the Event Cloud Complex Event Processing and Systems that Use It Discussion: Immutability of Events Summary Chapter 4: The Rise of Commercial Event Processing The Dawn of CEP Four Stages of CEP Simple CEP (1999 - 2007) CEP versus Custom Coding Creeping CEP (2004 - 2012) Business Activity Monitoring Awareness and Education in Event Processing Languages for Event Processing Dashboards and Human-Computer Interfaces Human-Computer Interfaces CEP Becomes a Recognized Information Technology (2009 - 2020) Event Processing Standards Ubiquitous CEP Chapter 5: Markets and Emerging Markets for CEP Market Areas Financial Systems, Operations, and Services Fraud Detection Transportation Security and Command and Control Command and Control for Security Healthcare Energy Summary Chapter 6: Patterns of Events Events and Event Objects Overloading Two Meanings Patterns and Pattern Matching Single Event Patterns Processing Patterns by Machine Patterns of Multiple Events using Operators Event Patterns and State Event Patterns and Time Causality between Events Repetitive and Unbounded Behavior Requirements for an Event Pattern Language Correctness and Other Questions Chapter 7: Making Sense of Chaos in Real Time: Part 1 Event Type Spaces Restricting the Types of Event Inputs May not be an Option The Expanding Input Principle: Always Plan for New Types of Event Inputs and Event Outputs Architecting Event Processing Strategies Gross Filters Prioritization: Split Streaming, Topics, Sentiments, and Other Attributes Complex Filtering and Prioritization Using Event Patterns Summary Chapter 8: Making Sense of Chaos in Real Time: Part 2 Abstract Events and Views Levels of Abstraction and Views Organizing Views Computing Abstractions by Event Pattern Maps Computable Event Hierarchies Flexibility of Hierarchy Definitions Drill Down and Event Analysis Summary: Dealing with Information Overload Chapter 9: The Future of Event Processing Taking Stock The Evolution of Holistic Event Processing Systems Crossing Boundaries The Beginnings of Holistic Event Processing Systems Future Air Travel Management Systems Monitoring Human Activities Pandemic Watch Systems Monitoring the Consequences Solving Gridlock in the Metropolis Monitoring Your Personal Information Footprint Summary: The Future of Complex Event Processing Appendix: Glossary of Terminology: Event Processing Technical Society (Event Processing Glossary - Version 2.0) About the Author Index
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
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
Preface Acknowledgments Chapter 1: Event Processing and the Survival of the Modern Enterprise Four Basic Questions about Events What are Events and Which Ones Are Important? Why Invest in Event Processing? Know How Well You're Doing Use All Event Sources Detect When What You Need to Know Happens Event Processing in Use The Human Element and Other Sources of Errors Extract What You Want to Know Getting Started Chapter 2: Sixty Years of Event Processing Event-Driven Simulation Networks Active Databases Middleware The Enterprise Service Bus Chaos in the Marketing of Information Systems Service Oriented Architecture Event-Driven Architecture Summary: Event Processing 1950-2010 Chapter 3: First Concepts in Event Processing New Technology Begets New Problems What Is an Event? Event Clouds Levels of Events and Event Analysis Remark on Standards for Business Events Event Streams Processing the Event Cloud Complex Event Processing and Systems that Use It Discussion: Immutability of Events Summary Chapter 4: The Rise of Commercial Event Processing The Dawn of CEP Four Stages of CEP Simple CEP (1999 - 2007) CEP versus Custom Coding Creeping CEP (2004 - 2012) Business Activity Monitoring Awareness and Education in Event Processing Languages for Event Processing Dashboards and Human-Computer Interfaces Human-Computer Interfaces CEP Becomes a Recognized Information Technology (2009 - 2020) Event Processing Standards Ubiquitous CEP Chapter 5: Markets and Emerging Markets for CEP Market Areas Financial Systems, Operations, and Services Fraud Detection Transportation Security and Command and Control Command and Control for Security Healthcare Energy Summary Chapter 6: Patterns of Events Events and Event Objects Overloading Two Meanings Patterns and Pattern Matching Single Event Patterns Processing Patterns by Machine Patterns of Multiple Events using Operators Event Patterns and State Event Patterns and Time Causality between Events Repetitive and Unbounded Behavior Requirements for an Event Pattern Language Correctness and Other Questions Chapter 7: Making Sense of Chaos in Real Time: Part 1 Event Type Spaces Restricting the Types of Event Inputs May not be an Option The Expanding Input Principle: Always Plan for New Types of Event Inputs and Event Outputs Architecting Event Processing Strategies Gross Filters Prioritization: Split Streaming, Topics, Sentiments, and Other Attributes Complex Filtering and Prioritization Using Event Patterns Summary Chapter 8: Making Sense of Chaos in Real Time: Part 2 Abstract Events and Views Levels of Abstraction and Views Organizing Views Computing Abstractions by Event Pattern Maps Computable Event Hierarchies Flexibility of Hierarchy Definitions Drill Down and Event Analysis Summary: Dealing with Information Overload Chapter 9: The Future of Event Processing Taking Stock The Evolution of Holistic Event Processing Systems Crossing Boundaries The Beginnings of Holistic Event Processing Systems Future Air Travel Management Systems Monitoring Human Activities Pandemic Watch Systems Monitoring the Consequences Solving Gridlock in the Metropolis Monitoring Your Personal Information Footprint Summary: The Future of Complex Event Processing Appendix: Glossary of Terminology: Event Processing Technical Society (Event Processing Glossary - Version 2.0) About the Author Index
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
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