This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book. Backcover Would you like to use a consistent visual notation for drawing integration solutions? Look inside the front cover. Do you want to harness the power of asynchronous systems without getting caught in the pitfalls? See Thinking Asynchronously in the Introduction. Do you want to know which style of application integration is best for your purposes? See Chapter 2, Integration Styles. Do you want to learn techniques for processing messages concurrently? See Chapter 10, Competing Consumers and Message Dispatcher. Do you want to learn how you can track asynchronous messages as they flow across distributed systems? See Chapter 11, Message History and Message Store. Do you want to understand how a system designed using integration patterns can be implemented using Java Web services, .NET message queuing, and a TIBCO-based publish-subscribe architecture? See Chapter 9, Interlude: Composed Messaging. Utilizing years of practical experience, seasoned experts Gregor Hohpe and Bobby Woolf show how asynchronous messaging has proven to be the best strategy for enterprise integration success. However, building and deploying messaging solutions presents a number of problems for developers. Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book. 0321200683B09122003 Foreword by John Crupi. Foreword by Martin Fowler. Preface. Acknowledgments. Introduction. 1. Solving Integration Problems Using Patterns. The Need for Integration. Integration Challenges. How Integration Patterns Can Help. The Wide World of Integration. Loose Coupling. One-Minute EAI. A Loosely Coupled Integration Solution. Widgets & Gadgets ´R Us: An Example. Summary. 2. Integration Styles. Introduction. File Transfer (by Martin Fowler). Shared Database (by Martin Fowler). Remote Procedure Invocation (by Martin Fowler). Messaging. 3. Messaging Systems. Introduction. Message Channel. Message. Pipes and Filters. Message Router. Message Translator. Message Endpoint. 4. Messaging Channels. Introduction. Point-to-Point Channel. Publish-Subscribe Channel. Datatype Channel. Invalid Message Channel. Dead Letter Channel. Guaranteed Delivery. Channel Adapter. Messaging Bridge. Message Bus. 5. Message Construction. Introduction. Command Message. Document Message. Event Message. Request-Reply. Return Address. Correlation Identifier. Message Sequence. Message Expiration. Format Indicator. 6. Interlude: Simple Messaging. Introduction. JMS Request-Reply Example. .NET Request-Reply Example. JMS Publish-Subscribe Example. 7. Message Routing. Introduction. Content-Based Router. Message Filter. Dynamic Router. Recipient List. Splitter. Aggregator. Resequencer. Composed Message
A novel approach to decision engineering, with a verified framework for modeling human reasoning Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling complex decision criteria. Fully aligned with current developments in computational intelligence, the discussion covers the design and use of LSP criteria for evaluation and comparison in diverse areas, such as search engines, medical conditions, real estate, space management, habitat mitigation projects in ecology, and land use and residential development suitability maps, with versatile transfer to other similar decision-modeling contexts. Human decision making is rife with fuzziness, imprecision, uncertainty, and half-truths--yet humans make evaluation decisions every day. In this book, such decision processes are observed, analyzed, and modeled. The result is graded logic, a soft computing mathematical infrastructure that provides both formal logic and semantic generalizations of classical Boolean logic. Graded logic is used for logic aggregation in the context of evaluation models consistent with observable properties of human reasoning. The LSP method, based on graded logic and logic aggregation, is a vital component of an industrial-strength decision engineering framework. Thus, the book: Provides detailed theoretical background for graded logic Provides a theory of logic aggregators Explains the LSP method for designing complex evaluation criteria and their use Shows techniques for evaluation, comparison, and selection of complex systems, as well as the cost/suitability analysis, optimization, sensitivity analysis, tradeoff analysis, and missingness-tolerant aggregation Includes a survey of available LSP software tools, including ISEE, ANSY and LSP.NT. With quantitative modeling of human reasoning, novel approaches to modeling decision criteria, and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.