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Michiaki Tatsubori, Toshiyuki Sasaki, Shigeru Chiba, and Kozo Itano, "A Bytecode Translator for Distributed Execution of 'Legacy' Java Software", European Conference on Object-Oriented Programming (ECOOP), Budapest, June 2001.Sun Microsystems, Remote Method Invocation Specification,, 1997.Andre Spiegel, "Automatic Distribution in Pangaea", CBS 2000, Berlin, April 2000.Andre Spiegel, "Pangaea: An Automatic Distribution Front-End for Java", 4th IEEE Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS '99), San Juan, Puerto Rico, April 1999.Michael Philippsen, Bernhard Haumacher, and Christian Nester, "More Efficient Serialization and RMI for Java", Concurrency: Practice & Experience, 12(7):495-518, May 2000.Michael Philippsen and Matthias Zenger, "JavaParty - Transparent Remote Objects in Java", Concurrency: Practice and Experience, 9(11):1125-1242, 1997.Christian Nester, Michael Phillipsen, and Bernhard Haumacher, "A More Efficient RMI for Java", in Proc.Bal, Thilo Kielmann, Ceriel Jacobs, and Rutger Hofman, "Efficient Java RMI for Parallel Programming", ACM Transactions on Programming Languages and Systems (TOPLAS), 23(6):747-775, November 2001. Jason Maassen, Rob van Nieuwpoort, Ronald Veldema, Henri E.of ACM Symposium on Principles and Practice of Parallel Programming, Atlanta, GA May 1999. Bal, Aske Plaat, "An Efficient Implementation of Java's Remote Method Invocation", Proc. Doug Lea, "Concurrent Programming in Java - Design Principles and Patterns", Addison-Wesley, Reading, Mass., 1996.Ophir Holder, Israel Ben-Shaul, and Hovav Gazit, "Dynamic Layout of Distributed Applications in FarGo", Int.Tichy, "Transparent Distributed Threads for Java", 5th International Workshop on Java for Parallel and Distributed Computing, in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS 2003), Nice, France, April 2003.
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#Rmi program for arithmetic operation in java portable#
We argue that this approach is portable and can be applied to mostly any middleware mechanism. The key to our technique is the bytecode transformation of only stub routines, instead of the entire client application. In this paper we present an approach that works with an unmodified middleware implementation, yet does not impose execution overhead. The current approaches dealing with the problem suffer from one of two weaknesses: either they require a new middleware mechanism, making them less portable, or they add overhead to the execution to propagate a thread identifier through all method calls. Java middleware mechanisms, such as Java RMI or CORBA implementations, do not support thread coordination over the network: synchronizing on remote objects does not work correctly and thread identity is not preserved for executions spanning multiple machines.
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