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Much of an IBF solution revolves around the creation of solution metadata. As I explained earlier, metadata is nothing more than XML that is used by IBF to bind the elements of a solution together. When you re building and debugging an IBF solution, this metadata is maintained in an XML file in Visual Studio. When the IBF solution is deployed, however, the metadata is written to a SQL Server database that is available to all Office applications that will use the solution. The database, which is exposed to clients through a web service, is known as the metadata service. The metadata service serves as both a repository of metadata and a security boundary to prevent unauthorized users from executing the solution. Although the concept of metadata is simple, the structure of metadata in an IBF solution is not trivial, and this is what causes the learning curve to be so steep. Later in the chapter, I will define key metadata elements and show you how to properly configure them in an IBF solution. You will find, however, that the XML used by IBF can become quite complicated and borders on indecipherable at times. Fortunately, IBF provides us with several tools to generate and manage metadata, including a new Visual Studio .NET project type that provides a metadata explorer for viewing and managing metadata. Figure 5-3 shows a typical metadata explorer in Visual Studio .NET.

Non-HTTP ports could have restrictions across a firewall. The scalability is seriously suspect, as each logical connection maps to a physical connection.

Click on the Install button and the installation will complete. Provided that the installation is successful you will then click on the Close button to proceed with configuration of your first backup.

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LCDS uses RTMP to push data, whereas BlazeDS uses AMF polling to send the data through to the client. In AMF polling, data push, though possible, is not scalable. It has limitations because of inefficiencies in the mechanism. BlazeDS does not have RTMP and probably never will, unless RTMP becomes open source. In the meanwhile, you could use Comet-style persistent connections to push data. The Servlet 3.0 specification is trying to come up with a uniform standard to create HTTP 1.1 style persistent connections for data push using the NIO-based framework Comet. However, even before the specification is ready and accepted, the Apache foundation has already implemented a way to do this in Apache Tomcat. The Jetty team has achieved similar success. For BlazeDS to use this scalable option, the message broker servlet needs to be modified to listen to Comet events. That way a blocked long-polling connection can be created with no threads being utilized on the server. Such connections can easily scale and have up to 30,000 or more connections on a single 64-bit machine.

Message-based systems can support transactions and allow for explicit commit and rollback. With JMS, it s possible to have transactions in a messaging session or have more robust arrangements with the help of the Java Transaction API (JTA). In data services such as LCDS and BlazeDS, it s possible to use a JMS transacted session. A transacted session supports transactions within a session. Therefore, a rollback in a transacted session will roll back all the sends and receives in that session. However, it will have no impact on transactions that are outside of the session. In other words, if the JMS messages interacting with Flex also affect a transaction in another enterprise application or the database, a rollback will only impact the JMS session and not these external systems. Turning this feature on is as simple as setting the transacted-sessions value in the configuration file to true. This is what it looks like:

Once you have installed Retrospect, you ll want to connect to your Retrospect Backup server. To do so, go into your /Applications directory and you will find the EMC Retrospect 8 directory. Within this directory will be the Retrospect application. Doubleclick on it to bring up the main Retrospect window, which you can see in Figure 18 18.

The Context and Action Service (CAS) engine is a client-side component that communicates with the metadata service and IBF-compliant web services. The CAS engine serves two functions. The first is to request metadata from the metadata service in response to user activity.

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