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Partial failure is a central reality of distributed computing Both the local and the distributed world contain components that are subject to periodic failure In the case of local computing, such failures are either total, affecting all of the entities that are working together in an application, or detectable by some central resource allocator (such as the operating system on the local machine) This is not the case in distributed computing, where one component (machine, network link) can fail while the others continue Not only is the failure of the distributed components independent, but there is no common agent that is able to determine what component has failed and inform the other components of that failure, no global state that can be examined that allows determination of exactly what error has occurred In a distributed system, the failure of a network link is indistinguishable from the failure of a processor on the other side of that link These sorts of failures are not the same as mere exception raising or the inability to complete a task, which can occur in the case of local computing This type of failure is caused when a machine crashes during the execution of an object invocation or a network link goes down, occurrences that cause the target object to simply disappear rather than return control to the caller A central problem in distributed computing is insuring that the state of the whole system is consistent after such a failure; this is a problem that simply does not occur in local computing The reality of partial failure has a profound effect on how one designs interfaces and on the semantics of the operations in an interface Partial failure requires that programs deal with indeterminacy When a local component fails, it is possible to know the state of the system that caused the failure and the state of the system after the failure No such determination can be made in the case of a distributed system Instead, the interfaces that are used for the communication must be designed in such a way that it is possible for the objects to react in a consistent way to possible partial failures Being robust in the face of partial failure requires some expression at the interface level Merely improving the implementation of one component is not sufficient The interfaces that connect the components must be able to state whenever possible the cause of failure, and there must be interfaces that allow reconstruction of a reasonable state when failure occurs and the cause cannot be determined If an object is co resident in an address space with its caller, partial failure is not possible A function may not complete normally, but it always completes There is no indeterminism about how much of the computation completed Partial completion can occur only as a result of circumstances that will cause the other components to fail The addition of partial failure as a possibility in the case of distributed computing does not mean that a single object model cannot be used for both distributed computing and local computing The question is not "can you make remote method invocation look like local method invocation " but rather "what is the price of making remote method invocation identical to local method invocation " One of two paths A5 Partial Failure and Concurrency 349. best free ocr software download: Find the best OCR software for your business. 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