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Localized data is found whenever a single node in an enterprise solution is storing its own data. Storing data locally isn t always wrong. The problems arise when data that is stored locally needs to be used somewhere else. For example, imagine that you are building a Web site for taking customer orders. Moreover, your initial customer base is small, so you write the solution with a set of servlets that stores customer data in files. This design might look like the one pictured in Figure 1.1. Now, imagine that your customer base grows, or perhaps you open a previously internal Web application to your external customers. In either case, you have a lot more traffic than now than you did before, more than your Web server can handle. So you do the obvious thing; you buy more Web servers. Now you have a problem, pictured in Figure 1.2. All your customer data is in files located on the first Web server. The other servers need to get to the data, but they can t; it is local to the first Web server.

^ When the goal is to obtain u rather than H , the iterative gradient method can be used. This method is based on the fact that the steepest descent of E jv Huj2 is in the direction of the negative gradient of E with respect to u.

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You do this instead of providing different constructors for the class. Because the EJB is loaded using reflection, the only constructor that will ever be called is the default, no argument version. So in order to pass any per instance configuration information, you need to provide these methods. You then write all your startup code in them and leave the constructor empty. To complete the cycle, you must match the ejbCreate() method in your bean implementation with a corresponding method in the home interface with exactly the same arguments. For example, the home interface method declaration that matches the preceding code snippet is: 344

the pan), let it cool slightly, about 4 minutes. While the meatloaf is in the pan, use a knife to cut it into 11 4-inch (3.2-centimetre) slices. Top with 21 2 tbsp (37 millilitres) of warm sauce, if desired, and serve.

be composed from existing components while applying various QoS policies. This capability not only reduces the cost of developing DRE applications but also makes it easier to analyze the consistency of QoS policies applied throughout a system using MDA tools. All the material presented in this book chapter is based on the CoSMIC Model Driven Middleware tools available for download at www.dre.vanderbilt.edu/cosmic. The associated component middleware CIAO can be downloaded in open-source format from www.dre.vanderbilt.edu/Download.html.

This specification can also be written this way:

In second generation networks, the telecoms and IT were separate in each operator s organization and work ows. Information-sharing was rather limited. The introduction of new services, and the tightening time-to-market requirements, are changing this. Service can be seen as a common element in both sides. Certain aspects of a service need to be perceived similarly and synchronously, both in networks and in BSS systems. An example of this is service charging. New exible methods are needed to charge and bill new data and multimedia services. Charging can no longer be based on simple measures such as duration only. Furthermore, online charging needs to be arranged because of pre-paid service usage and other factors. But the implementation of online charging means that complex charging methods are visible not only at BSS systems, but also at certain service-aware network elements. Therefore, a change in a charging scheme that used to be visible only in the operator billing system now potentially requires a number of network elements to be con gured. The conclusion is that the clear division between OSS and BSS will be blurred. For example, service management, customer relationship management and billing will need to cooperate tightly. Examples of this include self-service management, management of the end-user experience, and need for end-user driven service production instead of technology-driven production.

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Money Online Finance Company was a bank holding company. For more than 100 years, Money Online provided lending, advisory and leasing services to small- and middle-market businesses. It was headquartered in New York City and was a Fortune 500 company. Money Online was a full-service, regulated state bank. It had relationships with top players in industries such as technology, of ce products, health care, printing and other diversi ed industries. Money Online was a leading provider of vendor nancing solutions to companies around the world. Its main services included designing,

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