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In a purely service-driven design, most business logic resides in the service classes. The domain objects objects that model entities in the application s domain are relatively lightweight, limited mostly to simple data holders. The service methods correspond closely to the use cases, each method manipulating the domain objects and performing a specific task. When a new use case requirement comes along, you simply implement another method in the service. For example, in a trip-booking application, you might have a Booking domain object to represent a trip booking and a BookingAgent service to manage the actual business logic. A purely domain-driven approach lays more responsibility on the domain objects, coupling function with data. The domain-oriented approach moves function to objects in the know. For example, a Trip object, representing one of many possible trips that can be booked, most likely knows best what to charge. Rather than hard coding the pricing logic for each trip type into a BookingAgent, the Booking object simply asks its Trip object how much to charge the client. Though the service-oriented approach seems more straightforward in the context of simple domain models, the object-oriented nature of the domain-driven approach scales in a maintainable manner when applied to more complicated domains (figure 3.2). The key here is that, as in object-oriented programming in general, the domain-driven approach factors logical complexity into the object model. Rather than confusing the business logic with a single dimensional nest of if-then-else blocks, the domain-driven approach relies on the objects to delegate responsibility to the most natural locations.

The original entity bean conception ( EJB 1.0-1.1 ) wholly embraced a purely domain-oriented design. At the time of those earlier specifications, the EJB community advocated entity beans as an indispensable member of the architecture. What could be better Imagine a design consisting purely of your domain objects, modeled using heavyweight, distributed, pluggable components, and likely tied to the underlying persistent store. Continuing our example, Trip beans talk to Booking beans, which talk to User beans, none of which cares whether the sibling component lives in the same virtual machine, in a separate process, or in a separate machine all together. If the Booking bean starts running low on resources, we can deploy Booking to more machines. The client meanwhile orchestrates this ubiquitously distributed domain layer with the flexibility you d expect from an object-oriented system. Unfortunately, reality sets in. We see past the vendor brochures glossy veneers. Yes, the application server hides the mechanical differences between local and remote invocations quite well, but abstracting the performance and stability issues associated with remote communication is another story altogether. In addition, early entity bean developers following the distributed domain model fell subject to another pitfall. With the fine-grained flexibility of the methods in the domain model often came numerous, fine-grained queries to the persistent store. These queries were flat and expensive for the most part, making more round trips and pulling back more data than needed, neglecting such simple tools as database joins. Many entity bean early adopters learned these interface lessons as we did the hard way.

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The disadvantage of live wallpapers is that they take more power to display, especially if they have interactive features. Just like everything else, they re also a small program running in the background, so if you find your phone crashing more often, try switching to a different wallpaper. G1 users can t use live wallpapers, but they can visit G1Wallz.com for wallpapers specifically designed for the G1. Wallpapers can also be installed straight from your Android phone s web browser. Some wallpapers may not be appropriate for the workplace, so browse from work at your own risk.

Caution The VSS database should be backed up regularly. The backup should be stored on a separate

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