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Weka-Parallel: Machine Learning in Parallel - Celis, Musicant (Correct)
....a computer running Weka Parallel (which we will call the client) can connect to these servers to start distributing work through streams. The next step is getting the remote machines to correctly use the data to calculate specific folds. We considered using Java RMI (Remote Method Invocation) [2] to have the client directly call the necessary methods on each of the servers. This would have reduced some of the complexity since the client machine would be in complete control by sending all of the necessary information, calling all of the necessary methods, and accessing all of the ....
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.... exploits Java serialization mechanisms to keep valid resource bindings upon proxy migration toward a new place: either the resource object or its copy, respectively, are transmitted as a sequence of bytes to the new execution environment and rebuilt through the deserialization process upon arrival [12]. Let us note that Binder plays a crucial role in the dynamic re adjustment of resource references upon proxy migration. When a proxy arrives at a new place, the Binder facility of the new execution environment updates, transparently to programmers, the proxy binding object to reflect possibly ....
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Grosso, W.: Java RMI. O'Reilly & Associates (2002)
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William Grosso. Java RMI. O'Reilly & Associates, Inc., Sebastopol, CA, 2002.
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