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In here we consider the problem of parallel execution of Join operation by a J2EE cluster. J2EE clusters are intended for coarse-grain distributed processing of multiple queries/business transactions over the Web. Thus, the possibility of using a J2EE cluster for fine-grain parallel computations (parallel Joins in our case) is intriguing and of practical interest. We have developed a new variant of the SFR algorithm for parallel computation of Cartesian Product in Join operations and proved its optimality in terms of communication/execution-time tradeoffs via a simple lower bound. Our experimental results show that despite the fact that J2EE is considered to be a platform that uses a complex interfaces and software entities, such as various types of Java beans, J2EE clusters can be efficiently used to execute Join operation in parallel.
Parallel and Distributed Computing, 2004. Third International Symposium on/Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks, 2004. Third International Workshop on
Date of Conference: 5-7 July 2004