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The end result was that not only did it take a bit more time to interpret the code, but also that the code was interpreted from a platform-independent state caused the resulting native code to execute more slowly. The JIT compiler solves most of these issues by enabling you to generate native code from your interpreted bytecode. The native code then performs exactly as it would have performed had the program been originally programmed in a native language. As you can see from Figure 1-11, the JIT exists as part of the virtual machine, and JIT compilation happens automatically if the compiler is installed.

Serialization allows you to store your objects as strings. When we use threads, we do so to change how it behaves when it is running. Serialization does not allow us to preserve that runtime behavior, only the class's static behavior and characteristics. Whenever you reconstruct a serialized class, only your class will be reconstituted correctly, not any of the threads. Therefore, it is important that your threads be as object-oriented as possible so that they can store their state when necessary.

Sometimes a server can be a client as well. A medical records query server may have to send a request to two or three hospitals to gather the information you request for a patient. Thus your server becomes a client of the hospital servers it queries on your behalf. All these situations are examples of interprocess communication. Each client and each server reside in different processes. Sometimes you, the individual, are the client; other times it is a computer. Sometimes the server is an application that listens in on what you type on your telephone pad and processes the information; other times it will be a program, perhaps written in Java as we will do later in this chapter.

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