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• W1547205936 abstract "Performance of data-parallel computing (e.g., MapReduce, DryadLINQ) heavily depends on its data partitions. Solutions implemented by the current state of the art systems are far from optimal. Techniques proposed by the database community to find optimal data partitions are not directly applicable when complex user-defined functions and data models are involved. We outline our solution, which draws expertise from various fields such as programming languages and optimization, and present our preliminary results." @default.
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• W1547205936 date "2011-05-09" @default.
• W1547205936 modified "2023-09-29" @default.
• W1547205936 title "Optimizing data partitioning for data-parallel computing" @default.
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