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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition must be chosen if one is going to have a unified model The first path is to treat all objects as if they were local and design all interfaces as if the objects calling them, and being called by them, were local The result of choosing this path is that the resulting model, when used to produce distributed systems, is essentially indeterministic in the face of partial failure and consequently fragile and non robust This path essentially requires ignoring the extra failure modes of distributed computing Since one can't get rid of those failures, the price of adopting the model is to require that such failures are unhandled and catastrophic The other path is to design all interfaces as if they were remote That is, the semantics and operations are all designed to be deterministic in the face of failure, both total and partial However, this introduces unnecessary guarantees and semantics for objects that are never intended to be used remotely Like the approach to memory access that attempts to require that all access is through system defined references instead of pointers, this approach must also either rely on the discipline of the programmers using the system or change the implementation language so that all of the forms of distributed indeterminacy are forced to be dealt with on all object invocations This approach would also defeat the overall purpose of unifying the object models The real reason for attempting such a unification is to make distributed computing more like local computing and thus make distributed computing easier This second approach to unifying the models makes local computing as complex as distributed computing Rather than encouraging the production of distributed applications, such a model will discourage its own adoption by making all object based computing more difficult Similar arguments hold for concurrency Distributed objects by their nature must handle concurrent method invocations The same dichotomy applies if one insists on a unified programming model Either all objects must bear the weight of concurrency semantics, or all objects must ignore the problem and hope for the best when distributed Again, this is an interface issue and not solely an implementation issue, since dealing with concurrency can take place only by passing information from one object to another through the agency of the interface So either the overall programming model must ignore significant modes of failure, resulting in a fragile system; or the overall programming model must assume a worst case complexity model for all objects within a program, making the production of any program, distributed or not, more difficult One might argue that a multi threaded application needs to deal with these same issues However, there is a subtle difference In a multi threaded application, there is no real source of indeterminacy of invocations of operations The application programmer has complete control over invocation order when desired A distributed system by its nature introduces truly asynchronous operation invocations Further, a non distributed system, even when multi threaded, is layered on top of a single operating system that can aid the communication between objects and can be used to determine and aid in synchronization and in the recovery of failure A distributed system, on the other hand, has no single point of resource allocation, synchronization, or failure recovery, and thus is conceptually very different.



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gDrawLine(totTransPen, 10, 50, 200, 50); SolidBrush semiTransBrush = new SolidBrush(ColorFromArgb(60, 0, 255, 0)); gFillRectangle(semiTransBrush, 20, 100, 200, 100); } Figure 739 shows the output from Listing 724

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