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Relationship Between Logical and Physical Models
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Some architectures attempt to merge logical n-layer and physical n-tier concepts. Such mergers seem attractive because they seem simpler and more straightforward, but typically they aren t good in practice they can lead people to design applications using a logical or physical architecture that isn t best suited to their needs.
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The Logical Model
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When you re creating an application, it s important to start with a logical architecture that clarifies the roles of all components, separates functionality so that a team can work together effectively, and simplifies overall maintenance of the system. The logical architecture must also include enough layers so that you have flexibility in choosing a physical architecture later on. Traditionally, you would devise at least a 3-layer logical model that separates the interface, the business logic, and the data-management portions of the application. Today that s rarely sufficient, because the interface layer is often physically split into two parts (browser and web server), and the logic layer is often physically split between a client or web server and an application server. Additionally, various application models have been used to break the traditional Business layer into multiple parts model-view-controller (MVC) and facade-data-logic being two of the most popular at the moment. This means that the logical layers are governed by the following rules: The logical architecture includes layers in order to organize components into discrete roles. The logical architecture must have at least as many layers as the anticipated physical deployment will have tiers. Following these rules, most modern applications have four to six logical layers. As you ll see, the architecture used in this book includes five logical layers.
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Just because an application is organized into layers doesn t mean those layers can be deployed arbitrarily on different tiers. The code in one layer communicates with the layer immediately above or below it in the architecture. If you don t design that communication properly, it may be impossible to put a network (tier) boundary between the layers. For example, the boundary between the Business layer and the Data layer is often highly optimized. Most applications have a network boundary between the Data layer and the rest of the application, so modern data access technologies are good at optimizing cross-network communication in this scenario. The boundary between the Interface layer and the Business layer is often not optimized for this purpose. Many applications make use of data binding, which is a chatty technology involving many property, method, and event calls between these two layers. The result is that it is often impractical and undesirable to put a network boundary between these layers. Not all layer boundaries should be designed to enable a tier boundary. You should design an architecture up front to enable the potential for tier boundaries in certain locations and to disallow them in other cases. If done properly, the result is a balance between flexibility and capability.
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By ensuring that the logical model has enough layers to provide flexibility, you can configure your application into an appropriate physical architecture that will depend on your performance, scalability, fault tolerance, and security requirements. The more physical tiers included, the worse the performance will be; however, there is the potential to increase scalability, security, and/or fault tolerance.
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The more physical tiers there are, the worse the performance That doesn t sound right, but if you think it through, it makes perfect sense: performance is the speed at which an application responds to a user. This is different from scalability, which is a measure of how performance changes as load (such as increased users) is added to an application. To get optimal performance that is, the fastest
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