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WS-Reliable Messaging (WS-RM) and WS-Addressing (from BEA, IBM, Microsoft, and others) ensure that message delivery can be transactional guaranteed across unreliable networks and systems. WS-RM and WS-Addressing use store and forward messaging to commodities into the Web services stack what has historically been the domain of proprietary message-oriented middleware like MQSeries. BEA remains convinced that such asynchronous Web services are the "sweet spot" for transactions/ updates, while synchronous Web services tend to be better suited to queries. This is why we have put so much energy into making asynchronous Web services as easy to program as synchronous ones. Adapters solve the "last mile" problem of integration: they provide the link from the Web technology to a non-Web or "legacy" technology (such as COBOL/CICS). By using the term "legacy, " I intend no insult: becoming part of the legacy is the highest goal that software can achieve, of course, many of them never make it, and in a very real sense, all production applications are legacy.
Even with the emergence of XML and Web services, adapters remain essential because so little of today's legacy applications will be directly extended to support Web services. (Instead, legacy applications will be "wrapped" with Web services and new business logic deployed on containers like WebLogic, WebSphere, and. NET. ) Without a standard model for adapters, it's nearly impossible for an integration platform to get to critical mass. Consider the impact that standardizing a common database adapter -- Java Database Connection (JDBC) -- had on Java's success. The J 2 EE Connector Architecture (CA) generalizes JDBC to define a universal model for Java adapters. J 2 EE CA (like the. NET alternative) eliminates the m x n cost of each integration vendor (m) having to "one off" their own proprietary adapter for each and every legacy system (n).
Moreover, J 2 EE CA protects your programming investment in integration solutions just as JDBC protects investment in database applications. Transformation, Aggregation, and Mapping Inherent in our notion of Web 2. 0 is the expectation that XML becomes the inter application data representation. Despite the marketing hype to the contrary, XML does not itself resolve impedance mismatches between differing data representations, and we are witnessing the proliferation of XML Schemas across the enterprise. (Some large companies may already have more than a hundred schemas for "customer." ) XML simply defines a common alphabet for constructing documents (think "structured ASCII"); it is still up to the respective companies and industries to define the vocabularies (the semantic mapping from XML to business objects) that enable conversations to take place. Some of these vocabularies will be defined "top down" by industry standards bodies and consortia. Other vocabularies will grow "bottom up" (much as natural languages have) as individual companies or small groups of companies specify the Web services necessary for conducting business with them.
XML-based EAI faces the same challenges, albeit within a single company. Tools that map from one vocabulary to another dramatically ease this burden -- XML Query in particular is becoming the "SQL" of XML processing. But while XML transformation is getting easier and faster, you should nevertheless seek to constrain the explosion of XML Schemas by introducing a review / approval process by your business application architects.
Free research essays on topics related to: applications, database, legacy, xml, integration
Research essay sample on Asynchronous Web Services Ws Rm And Ws Addressing Xml
