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On the other hand, consider a desktop application such as word processor. The technologies involved in developing such applications are limited in number, and as a result the application will be developed by a more homogeneous team of developers. The application logic is not pervasive but is confined to the application itself. The data involved is more transitory in nature.
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With separate applications that operate in their individual silos, it becomes difficult to provide a consistent and unified view of the functionality and data in an organization. Of course, large organizations usually have a large number of applications, and the problem becomes even harder for these large organizations. In order to solve these problems, the applications must be able to communicate with each other and be able to share functionality and data with each other. This sharing of data and functionality helps avoid duplicating data and functionality and hence provides more consistent and unified data and functionality to the end user. Designing new applications or modifying existing applications so that they are able to share data and functionalities is called software integration.
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Usually only a few computer programs are sufficient to service a small company or organization. These small programs are easy to manage, and there is no need for an overall design. However, as we consider bigger and bigger organizations, the number of computer programs grows, and there is greater need for an overall design or design strategy in order to avoid chaos. This overall design or design strategy is called software architecture. Software architecture is similar in nature to building architecture. Both types of architecture require planning according to some principles. For example, in building architecture the steel structure must be designed to support the current floor as well as future additions. In a similar manner, software architecture must be designed for both the current requirements and any upcoming requirements that can be foreseen. In the past a business application or a computer program was developed whenever a specific need arose. These applications of the past era catered to the specific requirements of the problem being solved, the data being employed, and even the specific hardware on which the application would run. Thus, these applications more or less ran independently of each other in separate silos. There was no need for these commuter programs to talk to each other. However, as the number of
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applications grew, it became difficult to provide a consistent view of the functionality and data, and the management of these applications, each with its own silo, became very difficult. It is at this stage that a need arose for an architecture that not only could easily meet the current requirements of a software system involving a large number of applications but could also meet the needs of tomorrow via (mostly) simple reconfigurations of the IT or software system. Service-Oriented Architecture is an architecture that meets the requirements of an agile, large IT system. SOA emphasizes agility and reuse of software assets through the use of software components that can be rethreaded or relinked easily in different configurations. Some Basic Concepts In this section we describe two fundamental concepts that are essential for a proper understanding of services and SOA. We start with loose coupling.
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Of all the concepts, the idea of loose coupling is the major driving principle of the march toward SOA-type integration patterns. This drive for loose coupling has occurred because the number and kinds of applications being integrated have progressively become very large. This requires integration patterns to minimize the effect on other applications due to the changes made to one application. However, the most important business reason for requiring loose coupling is that businesses require agility to meet today s changing business needs. Thus, the integration schemes must allow for this agility and must be flexible. In software, especially in distributed computing, coupling can occur at many different levels. For distributed systems, the way the remote applications are connected is possibly the most obvious technical factor when examining the problem of coupling. A direct network connection (for example, through sockets) can be thought of as tight coupling, whereas a physical intermediary enables loose coupling. Therefore, use of a messaging system (also called a MOM) results in loose coupling on the physical level because message queues are used as the intermediary. RPC-type applications, on the other hand, are tightly coupled because they rely on direct connections among themselves through sockets. This requires both the application that makes the request and the application that receives the request to be running and accessible at the same time. Related closely to the issue of physical connection is the subject of synchronous versus asynchronous communications, as indicated in the last paragraph. Asynchronous generally results in loose coupling. However, this assumes that the underlying middleware, such as a MOM,
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