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Demands for highly scalable parallel data processing platforms is raising due to an explosion in the number of massive-scale data intensive applications both in industry and in sciences. Performing statistical computing over huge data repositories poses a significant challenge to existing statistical software and computational infrastructure. After analyzing various open source computational infrastructures and their programming paradigm APIs, the results have shown that most of them are JVMdoi:10.1109/apscc.2012.74 dblp:conf/apscc/XieCJKC12 fatcat:pjthqqpdbjcdbbydzqt6zoxudm