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All saved game data is stored on the Memory Stick in the SAVEDATA folder under the PSP folder, as shown in Figure 9-6. Game data is not stored in the PSP s internal storage, although this may change at some point in the future. The Web browser is an exception.

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clProducts.tabIndex = 1; ccbRegion.tabIndex = 2; cbtSubmit.tabIndex = 3;

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to send a message t o another processor. This is especially true when the new value of the variable must be communicated to multiple processors. Consequently, it is more efficient to get fine-grain parallelism from a parallel system than from a distributed system. So far our discussion has been at the hardware level. As mentioned earlier, the interface provided to the programmer can actually be independent of the underlying hardware. So which model would then be used by the programmer At the programming level, we expect that programs will be written using multithreaded distributed objects. In this model, an application consists of multiple heavyweight processes that communicate using messages (or remote method invocations). Each heavyweight process consists of multiple lightweight processes called threads. Threads communicate through the shared memory. This software model mirrors the hardware that is (expected to be) widely available. By assuming that there is at most one thread per process (or by ignoring the parallelism wit,hin one process), we get the usual model of a distributed system. By restricting our attention t o a single heavyweight, process, we get, the usual model of a parallel system. We expect the system to have aspects of distributed objects. The main reason is the logical simplicity of the distributed object model. A distributed program is more object,-oriented because data in a remote object can be accessed only through an explicit message (or a remote procedure call). The object orientation promotes reusability as well as design simplicity. Furthermore, these object would be multithreaded because threads are useful for implement.ing efficient objects. For many applications such as servers, it. is useful to have a large shared data structure. It is a programming burden and inefficient. to split the data structure across multiple heavyweight processes.

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How these issues are addressed will be tempered by both current programming practices and the Grid environment. The last 20 years of research and development in the areas of parallel and distributed programming and distributed system design has produced a body of knowledge that was driven by both the most feasible and effective hardware architectures and by the desire to be able to build systems that are more well-behaved with properties such as improved maintainability and reusability. We now provide a brief survey of many speci c tools, languages, and environments for Grids. Many, if not most, of these systems

You set up bound parameters by name and nest them within a pair of <s:request> tags, which in turn are nested in a pair of <s:operation> tags. Each parameter is expressed as an XML tag set where the element name matches the name of the parameter, as shown in the WSDL. This declaration includes a set of bindings that pass values directly from the TextInput controls to the Web service operations as parameters:

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