Map sampling task on each Worker, and uploading the samples to the Master for combining; and 3) acquiring Reduce task workload according to the Map sampling task results by the Master, partitioning key value in
Communication overheads indeed are dominated by the number of messages after performing all possible combining operations. In another word, they depend on how many target vertices edges on each worker link to, instead of cut edges across workers. Existing definitions ignore the combining effect. The...
A framework combining the data-partitioning techniques used by most parallel join algorithms in relational databases and the filter-and-refine strategy for spatial operation processing is proposed for parallel spatial join processing. Object duplication caused by multi-assignment in spatial data partitioning...
“MapReduce: Simplified Data processing on large clusters,” in OSDI, pp. 137-150, 2004. Friedman et al., “SQL/MaReduce: A practical approach to self-describing, polymorphic and parallelizable user-defined functions,” Proc VLDB Endow., 2(2): 1402-1413, Aug. 2009. Gillick et al.,...