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\nAAddison-Wesley  \nBoston • San Francisco • New York • Toronto • Montreal London • Munich • Paris • Madrid  \nCapetown • Sydney • Tokyo • Singapore • Mexico City  \nContents  \nPreface xv Acknowledgments xix  \nPART I A Simple Introduction to Complex  \nEvent Processing l  \n1 The Global Information Society and the Need  \nfor New Technology 3  \n1.1 Distributed Information Systems Everywhere 4  \n1.2 The Global Communication Spaghetti Pot 7  \n1.2.1 Event Causality 10  \n1.3 Electronic Archeology: Layers upon Layers 10  \n1.3.1 A Layered Enterprise System 11  \n1.3.2 Vertical Causality: Tracking Events up and down the Layers 15  \n1.3.3 Event Aggregation: Making High-Level Sense out of Low-Level Events 16  \n1.4 The Gathering Storm of New Activities on the Web 17  \n1.5 Global Electronic Trade 18  \n1.6 Agile Systems 21  \n1.7 Cyber Warfare and the Open Electronic Society 23  \n1.8 Summary: Staying ahead of Chaos 26  \n2 Managing the Electronic Enterprise in the Global  \nEvent Cloud 27  \n2.1 How the Global Event Cloud Forms 28  \n2.1.1 The Open Enterprise 28  \n2.1.2 The Global Event Cloud 28  \n2.1.3 The Electronic Enterprise 29  \n2.2 Operating in the Global Event Cloud 30  \n2.3 Going Beyond Workflow 33  \n2.4 Parallel and Asynchronous Processes 35  \n2.5 On-the-Fly Process Evolution 37  \nviii Contents  \n2.6 Exceptions Must Be First-Class Citizens  \nin Process Design 39  \n2.7 Summary: Managing the Electronic Enterprise 41  \n3 Viewing the Electronic Enterprise—Keeping  \nthe Human in Control 43  \n3.1 Today's Event Monitoring Is Too Primitive 44  \n3.1.1 System Monitoring Focuses on the Network  \nLayer 44  \n3.1.2 Network-Level Monitoring Doesn't Even Solve Network Problems 45  \n3.2 An Example of Causal Tracking 46  \n3.3 Information Gaps 49  \n3.3.1 Examples of Information Gaps 50  \n3.4 Problem-Relevant Information 51  \n3.5 Viewing Enterprise Systems 53  \n3.6 Creating and Coordinating Multiple Views 55  \n3.7 Hierarchical Viewing 56  \n3.7.1 An Example of Hierarchical Viewing 57  \n3.8 Summary: Viewing the Electronic Enterprise 59  \n4 Designing the Electronic Enterprise 61  \n4.1 Process Architectures 62  \n4.2 Roles of Architecture in the Process Lifecycle 63  \n4.3 Constituents of Process Architectures 67  \n4.3.1 Annotations 67  \n4.3.2 Architectural Structure 68  \n4.3.3 Interface Communication Architectures 68  \n4.3.4 Architecture Diagrams 70  \n4.3.5 Behavior Specification 72  \n4.3.6 Design Constraints 74  \n4.4 Examples of Informal Annotations 74  \n4.5 Dynamic Process Architectures 78  \n4.5.1 Diagrams for Dynamic Architectures? 81  \n4.6 Layered Architectures and Plug-and-Play 81  \n4.6.1 Abstraction Principle 83  \n4.7 Summary: Technology to Support Process  \nArchitecture 84  \n5 Events, Timing, and Causality 87  \n5.1 What Events Are 88  \n5.2 How Events Are Created 90  \nContents ix  \n5.3 Time, Causality, and Aggregation 94  \n5.3.1 The Cause-Time Axiom 96  \n5.4 Genetic Parameters in Events 96  \n5.4.1 Timestamps , 96  \n5.4.2 Causal Vectors 97  \n5.5 Time 97  \n5.6 Causality and Posets - 100  \n5.7 Causal Event Executions—Real-Time Posets 102  \n5.8 Orderly Observation 109  \n5.9 Observation and Uncertainty 110  \n5.10 Summary 111  \n6 Event Patterns, Rules, and Constraints 113  \n6.1 Common Kinds of Pattern Searching 113  \n6.2 Event Patterns 114  \n6.3 A Strawman Pattern Language 116  \n6.3.1 Pattern Matching 117  \n6.3.2 Writing Patterns in STRAW-EPL 117  \n6.4 Event Pattern Rules 119  \n6.5 Constraints 124  \n6.6 Summary 126  \n7 Complex Events and Event Hierarchies 127  \n7.1 Aggregation and Complex Events 127  \n7.2 Creating Complex Events 129  \n7.3 Event Abstraction Hierarchies 131  \n7.3.1 Viewing a Fabrication Line 132  \n7.4 Building Personalized Concept Abstraction  \nHierarchies 133  \n7.4.1 Viewing Network Activity 134  \n7.4.2 Viewing Stock-Trading Activity 138  \n7.5 Summary 141  \nPART II Building Solutions with CEP 143  \n8 The RAPIDE Pattern Language 145  \n8","cbCaicDWPr6GiAIX","https://ap.wps.com/l/cbCaicDWPr6GiAIX","pdf",25877,"English","# Preface\n# Acknowledgments\n# Part I A Simple Introduction to Complex Event Processing\n## The Global Information Society and the Need for New Technology\n## Managing the Electronic Enterprise in the Global Event Cloud\n## Viewing the Electronic Enterprise—Keeping the Human in Control\n## Designing the Electronic Enterprise\n## Events, Timing, and Causality\n## Event Patterns, Rules, and Constraints\n## Complex Events and Event Hierarchies\n# Part II Building Solutions with CEP\n## The RAPIDE Pattern Language\n## CEP Rules and Agents\n## Event Processing Networks","[{\"question\":\"What problem does complex event processing address in distributed enterprise systems?\",\"answer\":\"It addresses how to manage and interpret activity across distributed systems, where events are numerous, layered, and interconnected, requiring causality-aware processing and higher-level understanding.\"},{\"question\":\"How does the document approach viewing and monitoring an enterprise?\",\"answer\":\"It argues that primitive monitoring is insufficient and introduces causal tracking, information gaps, and multiple hierarchical views to keep humans in control.\"},{\"question\":\"What are the core building blocks for implementing solutions with CEP?\",\"answer\":\"The document introduces the RAPID E pattern language for event patterns and then covers CEP rules and agents, followed by event processing networks to connect components and support dynamic processing.\"}]","The Power of Events - An Introduction to Complex Event Processing in Distributed Enterprise Systems | PDF"]