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In 3 we discussed the methods that allow sharing data only. In 4 we discussed remote procedure call (RPC), which for the first time allowed two applications to share functionality (in addition to sharing data). RPC is powerful enough to be the basis of client/ server architecture, which is commonly used for Internet and network applications. However, RPC has a number of shortcomings that prevent it from being a complete and satisfactory solution for integrating all applications in a large enterprise. In this chapter, we will begin to address some of these shortcomings, including the following:
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There is little room for code reuse because the code for marshalling and unmarshalling and the code for network communication are buried inside the client and server applications. RPC is not language independent. In other words, the server and client applications must be written in the same programming language. Servers and clients written in two different programming languages cannot share functionality. RPC integrates the client and server applications in a point-to-point manner, which is not appropriate if a large number of applications need to be integrated. The number of integrations you need to perform in a point-to-point approach increases rapidly (roughly N2, where N is the number of applications in an enterprise that are being integrated). On a related note, in RPC the roles of client and server are xed, and the relationship between the client and the server is not peer to peer. In other words, the client can access the functionality embedded in the server, but not the other way around.
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In addition to addressing these issues, in this chapter we will look at the need for a directory and naming service. This need for a directory eventually led to the SOA Registry and Repository, which is one of the very important components of SOA. In order to address these issues, we seek a solution that allows code reuse by separating out the code for marshalling and network communication into a standalone component (application). This separation also allows us to move away from the point-to-point approach because many applications can connect to each other using this new component. Furthermore, we will see a peer-to-peer relationship between the applications rather than a client/server relationship. Two other important features of the solution we seek are language independence and platform independence. Language independence is desired because we would like applications written in different programming languages to be able to communicate and share functionality. Thus, a program written in C++ should be able to communicate with a program written in Java. Platform independence is desired because we would like applications running on different platforms to be able to share functionality and data. For example, an application running on a UNIX system should be able to share functionality and data with an application running on a Windows system or a mainframe system. A class of solutions that begins to address these requirements is distributed objects. The distributed objects extend the concepts of classes and objects introduced by object-oriented programming (OOP). Examples of OOP are the C++ and Java languages. Classes are user-defined type constructs that encapsulate data and behavior (functionality) related to a certain entity. The main advantages of encapsulation include more reliable and robust programming. In addition, OOP includes inheritance, which leads to code reuse at the programming level. The third pillar of OOP is polymorphism, which basically means that functions that perform similar work can have the same name. However, this third characteristic is not very important for our discussion here. An object in OOP refers to a particular instance of a given class at runtime. Previous to distributed objects, only objects belonging to the same application could interact with each other at runtime. With distributed objects, objects belonging to different applications can also interact and exchange data and functionality among themselves at runtime. With distributed objects, three different models are available: Common Object Request Broker Architecture (CORBA), Microsoft s Distributed Component Object Model (DCOM), and Java s Remote Method Invocation (RMI). Out of these three, CORBA is most general. DCOM is mostly limited to one type of platform namely, the Windows operating system. RMI is not limited to any platform but can only be used with the Java language. Most of this chapter is devoted to discussing CORBA because
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