After thoroughly introducing the concept, the book moves on to a more detailed, technical explanation of CEP, featuring the Rapid event pattern language, reactive event pattern rules, event pattern constraints, and event processing agents. Offers practical advice on building CEP-based solutions that solve real world IS/IT problems. Softcover. Complex Event Processing (CEP) is a defined set of tools and techniques for analyzing and controlling the complex series of interrelated events that drive modern distributed information systems. This emerging technology helps IS and IT professionals understand what is happening within the system, quickly identify and solve problems, and more effectively utilize events for enhanced operation, performance, and security. CEP can be applied to a broad spectrum of information system challenges, including business process automation, schedule and control processes, network monitoring and performance prediction, and intrusion detection. The Power of Events introduces CEP and shows specifically how this innovative technology can be utilized to enhance the quality of large-scale, distributed enterprise systems. The book describes the challenges faced by today's information systems, explains fundamental CEP concepts, and highlights CEP's role within a complex and evolving contemporary context. After thoroughly introducing the concept, the book moves on to a more detailed, technical explanation of CEP, featuring the Rapide event pattern language, reactive event pattern rules, event pattern constraints, and event processing agents. It offers practical advice on building CEP-based solutions that solve real world IS/IT problems. Readers will learn about such essential topics as: Managing the open electronic enterprise in the "global event cloud" - Process architectures and on-the-fly process evolution - Events, timing, causality, and aggregation - Event patterns and event abstraction hierarchies - Causal event tracking and information gaps - Multiple views and hierarchical viewing - Dynamic process architectures - The Rapide event pattern language - Event pattern rules, constraints, and agents - Event processing networks (EPNs) - Causal models and event pattern maps - Implementing event abstraction hierarchies Several comprehensive case studies illustrate the benefits of CEP, as well as key strategies for applying the technology. Examples include the real-time monitoring of events flowing between the business processes of collaborating enterprises, and a hierarchically organized set of event-driven views of a financial trading system. One of the case studies shows how to apply CEP to network viewing and intrusion detection. The book concludes with a look at building an infrastructure for CEP, showing how the technology can provide a significant competitive advantage amidst the myriad of event-driven, Internet-based applications now coming onto the market. 0201727897B05172002 David Luckham is Professor Emeritus at Stanford University, where he directs the Program Analysis and Verification Project. He played a significant role in the founding of Rational Software in 1981, supplying both the Ada compiler from which the company's first products were developed and serving as a member of the initial software development team. Dr. Luckham is an acknowledged leader in high-level, multiprocessing programming languages; annotation languages; and event-based simulation systems for both hardware and software architectures. He has published more than one hundred technical articles, two of them winning ACM/IEEE Best Paper Awards, as well as three books on the design of Specification Languages and their application to software testing and verification, and hardware simulation. 0201727897AB04252002 Complex event processing (CEP) is a set of techniques and tools to help us understand and control event-driven information systems. And today, any kind of information system, from the Internet to a cell phone, is driven by events. What is a complex event ? It is an event that could only happen if lots of other events happened. For example, suppose you see a car you like at your favorite car dealership. That car is on the showroom floor only because a number of other events took place—events in the inventory control systems of the dealership and the manufacturer, shipping events, customs events at the port of entry, and so on. Of course, when you see exactly what you want in the showroom, you don't ask how or why. But if you don't see the model, make, or color you want and ask why not, you'll get an explanation about allocation quotas, backlogs at the factory, or some other factors that affect events in the causal history leading up to the event you wanted. This illustrates one of the ideas behind CEP. Events are related in various ways, by cause, by timing, and by membership. CEP applies to electronic information systems. It makes use of relationships between events to answer questio